pandas

left operand left operand

right operand right operand

return if cond is False return if cond is False

return if cond is True return if cond is True

the actual operand the actual operand

DataFrame or numpy ndarray-like DataFrame or numpy ndarray-like

array_like array_like

list of columns, or True, default None list of columns, or True, default None

object object

tuple tuple

{'linear', 'log'} {'linear', 'log'}

'all', list-like of dtypes or None (default), optional 'all', list-like of dtypes or None (default), optional

'backward' (default), 'forward', or 'nearest' 'backward' (default), 'forward', or 'nearest'

'fixed(f)|table(t)', default is 'fixed' 'fixed(f)|table(t)', default is 'fixed'

'infer', bool-ndarray, 'NaT', default 'raise' 'infer', bool-ndarray, 'NaT', default 'raise'

'property' or 'method' 'property' or 'method'

'raise', 'coerce', default 'raise' 'raise', 'coerce', default 'raise'

'raise','ignore','coerce' 'raise','ignore','coerce'

'skipfooter' was not a non-negative integer. 'skipfooter' was not a non-negative integer.

'sqlite', default None 'sqlite', default None

(float,float), optional (float,float), optional

(legacy) name of DateOffset object to be used, optional (legacy) name of DateOffset object to be used, optional

1,2 1,2

1d array-like 1d array-like

1d ndarray or Series 1d ndarray or Series

2-d boolean mask 2-d boolean mask

2-length sequence (tuple, list, ...) 2-length sequence (tuple, list, ...)

A 2-tuple where the elements are: A 2-tuple where the elements are:

A tuple (width, height) in inches A tuple (width, height) in inches

AbstractHolidayCalendar AbstractHolidayCalendar

An array for elements x + b for each element x in arr if b is An array for elements x + b for each element x in arr if b is

An invalid data type was passed in for w (e.g. dict). An invalid data type was passed in for w (e.g. dict).

Axes Axes

BlockManager BlockManager

BlockManager for the new Series BlockManager for the new Series

Categorical Categorical

Categorical or Index. Categorical or Index.

Categorical or None Categorical or None

Categorical or Series or array of integers if labels is False Categorical or Series or array of integers if labels is False

Categorical with NA/NaN filled Categorical with NA/NaN filled

Categorical with new categories added or None if inplace. Categorical with new categories added or None if inplace.

Categorical with removed categories or None if inplace. Categorical with removed categories or None if inplace.

Categorical with reordered categories or None if inplace. Categorical with reordered categories or None if inplace.

Categorical with unused categories dropped or None if inplace. Categorical with unused categories dropped or None if inplace.

CategoricalDtype CategoricalDtype

CategoricalDtype or 'category' CategoricalDtype or 'category'

CategoricalDtype, defaults to existing CategoricalDtype, defaults to existing

CategoricalIndex or Index CategoricalIndex or Index

Column name for the x-axis values Column name for the x-axis values

Column name for the y-axis values Column name for the y-axis values

Columns were missing. Error message will list them. Columns were missing. Error message will list them.

DataFrame DataFrame

DataFrame (sorted) DataFrame (sorted)

DataFrame of operation result DataFrame of operation result

DataFrame or Panel DataFrame or Panel

DataFrame or Series DataFrame or Series

DataFrame or Series/dict-like object, or list of these DataFrame or Series/dict-like object, or list of these

DataFrame or SparseDataFrame DataFrame or SparseDataFrame

DataFrame or Styler DataFrame or Styler

DataFrame with DatetimeIndex DataFrame with DatetimeIndex

DataFrame, Series DataFrame, Series

DataFrame, Series with name field set, or list of DataFrame DataFrame, Series with name field set, or list of DataFrame

DataFrame, or Series if drop == True DataFrame, or Series if drop == True

DataFrame, or object coercible into a DataFrame DataFrame, or object coercible into a DataFrame

DateOffset DateOffset

DateOffset object, or string DateOffset object, or string

DateOffset or timedelta-like, optional DateOffset or timedelta-like, optional

DateOffset, timedelta, or time rule string, default None DateOffset, timedelta, or time rule string, default None

DateOffset, timedelta, or time rule string, optional DateOffset, timedelta, or time rule string, optional

DatetimeIndex DatetimeIndex

DatetimeIndex / i8 ndarray DatetimeIndex / i8 ndarray

DatetimeIndex or TimedeltaIndex DatetimeIndex or TimedeltaIndex

DatetimeIndex or array-like DatetimeIndex or array-like

DeepChainMap DeepChainMap

Drop groups that do not pass the filter. True by default; Drop groups that do not pass the filter. True by default;

Either left or right is not an instance of cls. Either left or right is not an instance of cls.

Exception Exception

Exception or sub-class Exception or sub-class

False (don't create an index), True (create all columns False (don't create an index), True (create all columns

False, int, default None False, int, default None

Grouped DataFrame Grouped DataFrame

How to join individual DataFrames How to join individual DataFrames

If key does not exist, or key is not unique and index is If key does not exist, or key is not unique and index is

Index Index

Index of maximum of values Index of maximum of values

Index of minimum of values Index of minimum of values

Index of the result Index of the result

Index or DatetimeIndex Index or DatetimeIndex

Index or MultiIndex Index or MultiIndex

Index or TimedeltaIndex Index or TimedeltaIndex

Index or array-like Index or array-like

Index or index-like, default None Index or index-like, default None

Index or list/tuple of indices Index or list/tuple of indices

Index, optional Index, optional

Index-like Index-like

Index-like (unique), optional Index-like (unique), optional

IndexSlice IndexSlice

Interval Interval

IntervalIndex IntervalIndex

Jinja2 Environment Jinja2 Environment

Jinja2 Loader Jinja2 Loader

Jinja2 Template Jinja2 Template

Matplotlib axis object Matplotlib axis object

Matplotlib axis object, default None Matplotlib axis object, default None

Matplotlib axis object, optional Matplotlib axis object, optional

MultiIndex MultiIndex

MultiIndex or array / Index of tuples MultiIndex or array / Index of tuples

MultiIndex, list-of-tuples, or single tuple MultiIndex, list-of-tuples, or single tuple

NDFrame NDFrame

NDFrame, default None NDFrame, default None

NaN or another value NaN or another value

None None

None or int or array_like of ints. Default: None. None or int or array_like of ints. Default: None.

None or str, optional None or str, optional

None or string-encoding None or string-encoding

None, integer or string axis name, optional None, integer or string axis name, optional

None|'copy'|'same', default None None|'copy'|'same', default None

NumPy array NumPy array

NumPy dtype (default: object) NumPy dtype (default: object)

Object Object

Op Op

Panel Panel

Panel (or nd) Panel (or nd)

Panel or list of Panels Panel or list of Panels

Panel, or object coercible to Panel Panel, or object coercible to Panel

PanelGroupBy PanelGroupBy

Period frequency Period frequency

Period or object Period or object

PeriodIndex PeriodIndex

PeriodIndex with the new frequency PeriodIndex with the new frequency

Python write mode, default 'w' Python write mode, default 'w'

Resolution Resolution

SQLAlchemy MetaData object, default None SQLAlchemy MetaData object, default None

SQLAlchemy connectable SQLAlchemy connectable

SQLAlchemy connectable (engine/connection) or database string URI SQLAlchemy connectable (engine/connection) or database string URI

SQLAlchemy connectable (or database string URI) SQLAlchemy connectable (or database string URI)

SQLAlchemy connectable(engine/connection) or database string URI SQLAlchemy connectable(engine/connection) or database string URI

SQLAlchemy connectable(engine/connection) or sqlite3 connection SQLAlchemy connectable(engine/connection) or sqlite3 connection

SQLAlchemy connectable(engine/connection), database string URI, SQLAlchemy connectable(engine/connection), database string URI,

SQLAlchemy engine or DBAPI2 connection (legacy mode) SQLAlchemy engine or DBAPI2 connection (legacy mode)

Scope Scope

Scope, optional, default None Scope, optional, default None

Series Series

Series (bool dtype) Series (bool dtype)

Series (new object) Series (new object)

Series (or DataFrame if level specified) Series (or DataFrame if level specified)

Series or DataFrame Series or DataFrame

Series or DataFrame if func returns a Series Series or DataFrame if func returns a Series

Series or DataFrame, depending on the value of typ. Series or DataFrame, depending on the value of typ.

Series or SparseDataFrame Series or SparseDataFrame

Series or list/tuple of Series Series or list/tuple of Series

Series or scalar value Series or scalar value

Series with DatetimeIndex Series with DatetimeIndex

Series with PeriodIndex Series with PeriodIndex

Series, DataFrame Series, DataFrame

Series, with -1 indicated where nan values are present Series, with -1 indicated where nan values are present

Series/Index of integer values Series/Index of integer values

Series/Index of lists Series/Index of lists

Series/Index of objects Series/Index of objects

Series/Index of objects or str Series/Index of objects or str

Series/Index or DataFrame/MultiIndex of objects Series/Index or DataFrame/MultiIndex of objects

Series/array of boolean values Series/array of boolean values

Setting this to True will show the grid Setting this to True will show the grid

SparseArray SparseArray

SparseDataFrame SparseDataFrame

SparseSeries SparseSeries

StataWriter instance StataWriter instance

String term expression, Expr, or list-like of Exprs. String term expression, Expr, or list-like of Exprs.

StringIO-like, optional StringIO-like, optional

Styler Styler

Term Term

Term or Op Term or Op

The class type to check against. The class type to check against.

The coerced dtype. The coerced dtype.

The data to convert. The data to convert.

The dtype could not be casted to a date-like dtype. The dtype could not be casted to a date-like dtype.

The dtype is an illegal date-like dtype (e.g. the The dtype is an illegal date-like dtype (e.g. the

The dtype that we want to coerce. The dtype that we want to coerce.

The error message provided does not match The error message provided does not match

The error message to display. The error message to display.

The extract dtype instance from the The extract dtype instance from the

The extract type instance from the The extract type instance from the

The extracted numpy dtype.type-style object. The extracted numpy dtype.type-style object.

The first dtype to compare The first dtype to compare

The first object being compared. The first object being compared.

The month in which fiscal years end. {1, 2, ... 12} The month in which fiscal years end. {1, 2, ... 12}

The name of the index returned. The name of the index returned.

The number of decimal places to use when encoding The number of decimal places to use when encoding

The object to check. The object to check.

The original array cast as a Categorical. If it already The original array cast as a Categorical. If it already

The original array cast to the float dtype if The original array cast to the float dtype if

The original where clause if the check was successful. The original where clause if the check was successful.

The passed in object is None. The passed in object is None.

The quarter number that has the leap The quarter number that has the leap

The row number of the line being parsed. The row number of the line being parsed.

The row number where the parsing error occurred. The row number where the parsing error occurred.

The second dtype to compare The second dtype to compare

The second object being compared. The second object being compared.

TimeSeries TimeSeries

TimeSeries with PeriodIndex TimeSeries with PeriodIndex

Timedelta Timedelta

TimedeltaIndex TimedeltaIndex

TimedeltaIndex or array-like TimedeltaIndex or array-like

Timestamp giving most recent fiscal year end Timestamp giving most recent fiscal year end

Union[Index, MultiIndex], inferred Union[Index, MultiIndex], inferred

Warning, default FutureWarning Warning, default FutureWarning

Whether or not columns could become a MultiIndex Whether or not columns could become a MultiIndex

Whether or not the array or dtype is of a Whether or not the array or dtype is of a

Whether or not the array or dtype is of a boolean dtype. Whether or not the array or dtype is of a boolean dtype.

Whether or not the array or dtype is of a compex dtype. Whether or not the array or dtype is of a compex dtype.

Whether or not the array or dtype is of a float dtype. Whether or not the array or dtype is of a float dtype.

Whether or not the array or dtype is of a numeric dtype. Whether or not the array or dtype is of a numeric dtype.

Whether or not the array or dtype is of a signed integer dtype Whether or not the array or dtype is of a signed integer dtype

Whether or not the array or dtype is of an Whether or not the array or dtype is of an

Whether or not the array or dtype is of an integer dtype Whether or not the array or dtype is of an integer dtype

Whether or not the array or dtype is of an integer dtype. Whether or not the array or dtype is of an integer dtype.

Whether or not the array or dtype is of the Whether or not the array or dtype is of the

Whether or not the array or dtype is of the datetime64 dtype. Whether or not the array or dtype is of the datetime64 dtype.

Whether or not the array or dtype is of the datetime64[ns] dtype. Whether or not the array or dtype is of the datetime64[ns] dtype.

Whether or not the array or dtype is of the int64 dtype. Whether or not the array or dtype is of the int64 dtype.

Whether or not the array or dtype is of the string dtype. Whether or not the array or dtype is of the string dtype.

Whether or not the array or dtype should be converted to int64. Whether or not the array or dtype should be converted to int64.

Whether or not the array-like is a Whether or not the array-like is a

Whether or not the array-like is a datetime Whether or not the array-like is a datetime

Whether or not the array-like is a datetime array-like with Whether or not the array-like is a datetime array-like with

Whether or not the array-like is a datetime-like array-like. Whether or not the array-like is a datetime-like array-like.

Whether or not the array-like is a pandas sparse array. Whether or not the array-like is a pandas sparse array.

Whether or not the array-like is a periodical Whether or not the array-like is a periodical

Whether or not the array-like is a periodical index. Whether or not the array-like is a periodical index.

Whether or not the array-like is of a Categorical instance. Whether or not the array-like is of a Categorical instance.

Whether or not the array-like is of a pandas Whether or not the array-like is of a pandas

Whether or not the array-like or dtype is Whether or not the array-like or dtype is

Whether or not the array-like or dtype is of Whether or not the array-like or dtype is of

Whether or not the array-like or dtype is of the Period dtype. Whether or not the array-like or dtype is of the Period dtype.

Whether or not the array-like or dtype is of the object dtype. Whether or not the array-like or dtype is of the object dtype.

Whether or not the exception raised is an unorderable exception. Whether or not the exception raised is an unorderable exception.

Whether or not the line is empty. Whether or not the line is empty.

Whether or not the two dtypes are equal. Whether or not the two dtypes are equal.

Whether the object is a DateOffset or listlike of DatetOffsets Whether the object is a DateOffset or listlike of DatetOffsets

Whether to copy the data or not. Whether to copy the data or not.

Whether we return a comparing a datetime-like Whether we return a comparing a datetime-like

Whether we return a comparing a string-like Whether we return a comparing a string-like

_HtmlFrameParser subclass _HtmlFrameParser subclass

Categorical Categorical

DataFrameFormatter DataFrameFormatter

mask, applies to both sides (array like) mask, applies to both sides (array like)

new values either scalar or an array like aligned with values new values either scalar or an array like aligned with values

values, updated in-place (array like) values, updated in-place (array like)

a "kinds" map (dict of column name -> kind), or None if column a "kinds" map (dict of column name -> kind), or None if column

a DataFrame containing the original Index data. a DataFrame containing the original Index data.

a DataFrame containing the original MultiIndex data. a DataFrame containing the original MultiIndex data.

a Table object a Table object

a TimeGrouper object a TimeGrouper object

a boolean array a boolean array

a collections.Mapping subclass or other constructor a collections.Mapping subclass or other constructor

a comparable array of values representing bins into which to bin a comparable array of values representing bins into which to bin

a dict of dtype -> BlockManager a dict of dtype -> BlockManager

a dict of dtype -> Constructor Types a dict of dtype -> Constructor Types

a dict of table_name to table_columns, None is acceptable as the a dict of table_name to table_columns, None is acceptable as the

a intp array a intp array

a list of columns that if not None, will limit the return a list of columns that if not None, will limit the return

a list of the tables a list of the tables

a ndarray a ndarray

a ndarray/object a ndarray/object

a numpy array of object dtype a numpy array of object dtype

a pandas object a pandas object

a path in native format a path in native format

a sequence or mapping of Series, DataFrame, or Panel objects a sequence or mapping of Series, DataFrame, or Panel objects

a string that designates the indexable table; all of its a string that designates the indexable table; all of its

a url, filepath (str, py.path.local or pathlib.Path), a url, filepath (str, py.path.local or pathlib.Path),

a valid JSON string or file-like, default: None a valid JSON string or file-like, default: None

an array of the indexes an array of the indexes

an array of the masks an array of the masks

an array of the values an array of the values

an empty memory space where we are putting the chunk an empty memory space where we are putting the chunk

an encoding that will encode the query terms an encoding that will encode the query terms

an expanded filepath or the an expanded filepath or the

an integer indexer an integer indexer

an iterable an iterable

an object or objects to serialize an object or objects to serialize

any any

any iterable which has a len() any iterable which has a len()

any object any object

any, default np.nan any, default np.nan

anything to be formatted anything to be formatted

array array

array addend. array addend.

array of Holiday objects array of Holiday objects

array of arrays array of arrays

array of grouping array of grouping

array of int64 array of int64

array of integers suitable for passing to iloc array of integers suitable for passing to iloc

array of offsets (into 'values' argument) of bins. array of offsets (into 'values' argument) of bins.

array of pandas.tseries.offsets or array of pandas.tseries.offsets or

array of values array of values

array or boolean, default None array or boolean, default None

array or dtype array or dtype

array or scalar addend. array or scalar addend.

array-like array-like

array-like (1-dimensional) array-like (1-dimensional)

array-like (1-dimensional), optional array-like (1-dimensional), optional

array-like of bool or bool array-like of bool or bool

array-like or Categorical, (1-dimensional) array-like or Categorical, (1-dimensional)

array-like or Index (1d) array-like or Index (1d)

array-like or None array-like or None

array-like, Series, or DataFrame array-like, Series, or DataFrame

array-like, Series, or list of arrays/Series array-like, Series, or list of arrays/Series

array-like, callable, or None array-like, callable, or None

array-like, dict, or scalar value array-like, dict, or scalar value

array-like, integers array-like, integers

array-like, object to be reshaped array-like, object to be reshaped

array-like, optional array-like, optional

array-like, scalar array-like, scalar

array_like array_like

array_like of bool array_like of bool

array_like or list of array-likes array_like or list of array-likes

arraylike arraylike

axis to provide concatenation axis to provide concatenation

axis to shift, default 0 axis to shift, default 0

basestring basestring

binary operator binary operator

bool bool

bool (default False) bool (default False)

bool (default True) bool (default True)

bool (default: True) bool (default: True)

bool (default=False) bool (default=False)

bool / string {'equiv'}, default 'equiv' bool / string {'equiv'}, default 'equiv'

bool / string {'equiv'}, default False bool / string {'equiv'}, default False

bool or None, default True bool or None, default True

bool or int, default False bool or int, default False

bool or same types as to_replace, default False bool or same types as to_replace, default False

bool, (optional) bool, (optional)

bool, default False bool, default False

bool, default NaN bool, default NaN

bool, default True bool, default True

bool, default True. bool, default True.

bool, default try bool, default try

bool, defaults to False bool, defaults to False

bool, defaults to True bool, defaults to True

bool, optional bool, optional

bool, optional, default True bool, optional, default True

bool, optional, default=False bool, optional, default=False

boolean boolean

boolean (default False) boolean (default False)

boolean (default True) boolean (default True)

boolean (default: False) boolean (default: False)

boolean array or None boolean array or None

boolean array or boolean or None boolean array or boolean or None

boolean ndarray boolean ndarray

boolean o rstring, default True boolean o rstring, default True

boolean or None, default None boolean or None, default None

boolean or dict, default True boolean or dict, default True

boolean or list of string, default True boolean or list of string, default True

boolean or string, default True boolean or string, default True

boolean to set whether this categorical is ordered (True) or boolean to set whether this categorical is ordered (True) or

boolean whether to append to an existing msgpack boolean whether to append to an existing msgpack

boolean whether to treat passed axes as boolean whether to treat passed axes as

boolean, boolean,

boolean, (default False) boolean, (default False)

boolean, (default: False) boolean, (default: False)

boolean, True by default boolean, True by default

boolean, automatically close the store at the end of boolean, automatically close the store at the end of

boolean, default False boolean, default False

boolean, default False. boolean, default False.

boolean, default False. Do the block manager boolean, default False. Do the block manager

boolean, default None boolean, default None

boolean, default True boolean, default True

boolean, default True if ax is None else False boolean, default True if ax is None else False

boolean, default is True, boolean, default is True,

boolean, default to False boolean, default to False

boolean, default to self.center boolean, default to self.center

boolean, defaults to True boolean, defaults to True

boolean, if True, return an iterator to the unpacker boolean, if True, return an iterator to the unpacker

boolean, optional boolean, optional

boolean, perform alignment on other/cond boolean, perform alignment on other/cond

boolean, perform alignment on other/cond, default is True boolean, perform alignment on other/cond, default is True

boolean, return an iterator, default False boolean, return an iterator, default False

boolean, should automatically close the store when boolean, should automatically close the store when

boolean, whether to use the default iterator boolean, whether to use the default iterator

boolean, {'all', 'index', 'columns'}, or {0,1}, default False boolean, {'all', 'index', 'columns'}, or {0,1}, default False

boolean/string, default None boolean/string, default None

bytes bytes

callable callable

callable accepting (1d-mask, 1d values, indexer) callable accepting (1d-mask, 1d values, indexer)

callable bound to pandas object callable bound to pandas object

callable or tuple of (callable, string) callable or tuple of (callable, string)

callable(1d-array) -> 1d-array<boolean>, default None callable(1d-array) -> 1d-array<boolean>, default None

callable, default None callable, default None

callable, optional callable, optional

category or list of categories category or list of categories

category or list-like of category category or list-like of category

character, default "," character, default ","

character, default ',' character, default ','

class class

class, default dict class, default dict

closed end of interval; 'left' or 'right' closed end of interval; 'left' or 'right'

collections.Mapping collections.Mapping

collections.Mapping like {column -> {index -> value}} collections.Mapping like {column -> {index -> value}}

column identifier, defaults to None column identifier, defaults to None

column label column label

column label or list of column labels / arrays column label or list of column labels / arrays

column label or sequence of labels, optional column label or sequence of labels, optional

column name column name

column name or list of column names column name or list of column names

column name or list of names, or vector column name or list of names, or vector

conformed data (may be resampled) conformed data (may be resampled)

converted object converted object

data converted to either an Int64Index or a data converted to either an Int64Index or a

data for new Categorical data for new Categorical

data type, or dict of column name -> data type data type, or dict of column name -> data type

date or array of dates date or array of dates

date, string, int date, string, int

datetime datetime

datetime (default None) datetime (default None)

datetime if parsing succeeded. datetime if parsing succeeded.

datetime of converted dates datetime of converted dates

datetime or Timestamp datetime or Timestamp

datetime.time or string datetime.time or string

default NaN, fill value for missing values. default NaN, fill value for missing values.

default None, provide an encoding for strings default None, provide an encoding for strings

deprecated, cursor is obtained from connection, default: None deprecated, cursor is obtained from connection, default: None

deprecated, use expand deprecated, use expand

dict dict

dict (python 3), str or None (python 2) dict (python 3), str or None (python 2)

dict of column name to SQL type, default None dict of column name to SQL type, default None

dict of columns that specify minimum string sizes dict of columns that specify minimum string sizes

dict of {axis: indexer} dict of {axis: indexer}

dict or DataFrame dict or DataFrame

dict or None, optional dict or None, optional

dict or None, optional, default None dict or None, optional, default None

dict or Scope or None, optional, default None dict or Scope or None, optional, default None

dict or callable dict or callable

dict or dict-like dict or dict-like

dict or list of dicts dict or list of dicts

dict, default None dict, default None

dict, optional dict, optional

dict-like dict-like

dtype dtype

dtype of data dtype of data

dtype will be based on the type of the Index values. dtype will be based on the type of the Index values.

dtype, default None dtype, default None

dtype, default np.uint8 dtype, default np.uint8

dtype, type dtype, type

end value, period-like, optional end value, period-like, optional

ending date, datetime-like, optional ending date, datetime-like, optional

expected TOTAL row size of this table expected TOTAL row size of this table

file object file object

file-like file-like

file-like object or list file-like object or list

fixed length string dtyped array fixed length string dtyped array

float float

float or Series float or Series

float or array-like, default 0.5 (50% quantile) float or array-like, default 0.5 (50% quantile)

float or array_like float or array_like

float or array_like, default None float or array_like, default None

float or object float or object

float, default NaN float, default NaN

float, default None float, default None

float, defaults to NaN (missing) float, defaults to NaN (missing)

float, optional float, optional

force encoded string to be ASCII, default True. force encoded string to be ASCII, default True.

frequency frequency

frequency string frequency string

function function

function (optional) function (optional)

function or dict function or dict

function, default None function, default None

function, default to _use_window function, default to _use_window

function, dict, or Series function, dict, or Series

function, optional function, optional

function, optional, function, optional,

generator generator

group identifier in the store. Can be omitted if the HDF file group identifier in the store. Can be omitted if the HDF file

hashable hashable

hint to the hashtable sizer hint to the hashtable sizer

holiday calendar holiday calendar

how axes slice to others (dict) how axes slice to others (dict)

identifier of index column, defaults to None identifier of index column, defaults to None

if None, then use the dtype of the values, else coerce to this type if None, then use the dtype of the values, else coerce to this type

if True always make a copy even if no upcast is required if True always make a copy even if no upcast is required

if evaluates to True, drop rows from all tables if any single if evaluates to True, drop rows from all tables if any single

if the Grouping is a column in self.obj and hence among if the Grouping is a column in self.obj and hence among

if we do not have a passed timezone, coerce to M8[ns] ndarray if we do not have a passed timezone, coerce to M8[ns] ndarray

ignored ignored

index index

index for the new Series index for the new Series

index-like index-like

input object input object

instance or subclass of collections.Mapping instance or subclass of collections.Mapping

int int

int (can only be zero) int (can only be zero)

int (default 10000) int (default 10000)

int (default: 0) int (default: 0)

int (default: 0), or other RangeIndex instance. int (default: 0), or other RangeIndex instance.

int (default: 1) int (default: 1)

int if unique index, slice if monotonic index, else mask int if unique index, slice if monotonic index, else mask

int level int level

int or None int or None

int or None, optional, default None int or None, optional, default None

int or Series (if level specified) int or Series (if level specified)

int or array int or array

int or axis name int or axis name

int or basestring int or basestring

int or float int or float

int or level name, default None int or level name, default None

int or list int or list

int or list of ints int or list of ints

int or list, default None int or list, default None

int or list, optional int or list, optional

int or list-like or None, optional int or list-like or None, optional

int or list-like or slice or None, optional int or list-like or slice or None, optional

int or ndarray int or ndarray

int or numpy.random.RandomState, optional int or numpy.random.RandomState, optional

int or sequence, default 0 int or sequence, default 0

int or str int or str

int or str, default 0 int or str, default 0

int or str, default last level int or str, default last level

int or str, optional int or str, optional

int or string int or string

int or string axis name int or string axis name

int or string axis name, optional int or string axis name, optional

int or string, default 0 int or string, default 0

int or string, optional int or string, optional

int or tuple of ints, the new shape int or tuple of ints, the new shape

int, 0-9, default None int, 0-9, default None

int, Series, or array-like int, Series, or array-like

int, array, or Series, default None int, array, or Series, default None

int, array-like int, array-like

int, default -1 int, default -1

int, default -1 (all) int, default -1 (all)

int, default 0 int, default 0

int, default 0 (no flags) int, default 0 (no flags)

int, default 1 int, default 1

int, default 2 int, default 2

int, default 5 int, default 5

int, default None int, default None

int, defaults None int, defaults None

int, defaults to None int, defaults to None

int, dict, Series int, dict, Series

int, float, Interval int, float, Interval

int, level name, or sequence of int/level names (default None) int, level name, or sequence of int/level names (default None)

int, level name, or sequence of such, default None int, level name, or sequence of such, default None

int, np.random.RandomState, None. int, np.random.RandomState, None.

int, optional int, optional

int, optional, > 0 int, optional, > 0

int, optional, default 0 int, optional, default 0

int, optional, default 2 int, optional, default 2

int, or offset int, or offset

int, sequence of scalars, or IntervalIndex int, sequence of scalars, or IntervalIndex

int, slice object or boolean mask int, slice object or boolean mask

int, slice, container int, slice, container

int, slice, or sequence of integers int, slice, or sequence of integers

int, str or None int, str or None

int, str, default None int, str, default None

int, str, tuple, or list, default None int, str, tuple, or list, default None

int, string, or list of these, default -1 (last level) int, string, or list of these, default -1 (last level)

int, string, or list of these, default last level int, string, or list of these, default last level

int/array, default to _get_window() int/array, default to _get_window()

int/level name or list thereof int/level name or list thereof

int/level name or list thereof, optional int/level name or list thereof, optional

integer (defaults to None), row number to start selection integer (defaults to None), row number to start selection

integer or Timedelta, optional, default None integer or Timedelta, optional, default None

integer or array of quantiles integer or array of quantiles

integer, default 1 integer, default 1

integer, default 10 integer, default 10

integer, default 4 integer, default 4

integer, default None integer, default None

integer, float, string, datetime, list, tuple, 1-d array, Series integer, float, string, datetime, list, tuple, 1-d array, Series

integer, optional integer, optional

integer, optional, defaults to the max length of the strings integer, optional, defaults to the max length of the strings

internal use only. pprint_thing() is mutually-recursive internal use only. pprint_thing() is mutually-recursive

interpret the index as indexers, default False interpret the index as indexers, default False

interpret the index/col as indexers, default False interpret the index/col as indexers, default False

interpret the passed labels as indexers, default False interpret the passed labels as indexers, default False

interval boundary to use for labeling; 'left' or 'right' interval boundary to use for labeling; 'left' or 'right'

intp array, optional intp array, optional

io.excel.ExcelFile io.excel.ExcelFile

item label (panel item) item label (panel item)

iterable iterable

iterable of int iterable of int

iterable of names iterable of names

iterable of node-like iterable of node-like

iterable of strings (optional) iterable of strings (optional)

iterable of usecols iterable of usecols

iterable, Series, DataFrame or dictionary iterable, Series, DataFrame or dictionary

iterable, default None iterable, default None

iterable, optional iterable, optional

keyword arguments to pass on to the constructor keyword arguments to pass on to the constructor

keyword, value pairs keyword, value pairs

label label

label of the slice bound label of the slice bound

label or list label or list

label or list, or array-like label or list, or array-like

label or position, optional label or position, optional

label or sequence of labels label or sequence of labels

label or tuple label or tuple

label or tuple of labels (one for each level) label or tuple of labels (one for each level)

label or tuple, can be partial. Default None label or tuple, can be partial. Default None

label or tuple, default None label or tuple, default None

label rotation angle label rotation angle

label, default None label, default None

label/slice/list/mask or a sequence of such label/slice/list/mask or a sequence of such

list list

list (column labels) list (column labels)

list (row labels) list (row labels)

list / sequence of array-likes list / sequence of array-likes

list / sequence of iterables list / sequence of iterables

list / sequence of strings or None list / sequence of strings or None

list / sequence of tuple-likes list / sequence of tuple-likes

list of (BlockManager, {axis: indexer,...}) tuples list of (BlockManager, {axis: indexer,...}) tuples

list of (BlockPlacement, JoinUnit) tuples list of (BlockPlacement, JoinUnit) tuples

list of Block list of Block

list of DataFrames list of DataFrames

list of DataFrames before operation is applied list of DataFrames before operation is applied

list of Grouping objects list of Grouping objects

list of Index list of Index

list of Index objects list of Index objects

list of Indexes list of Indexes

list of SingleBlockManagers list of SingleBlockManagers

list of Term (or convertible) objects, optional list of Term (or convertible) objects, optional

list of Terms (or convertible to) list of Terms (or convertible to)

list of acceptable numpy.dtype list of acceptable numpy.dtype

list of arrays list of arrays

list of blocks list of blocks

list of boolean list of boolean

list of columns to create as data columns, or True to list of columns to create as data columns, or True to

list of dict-like or None, optional list of dict-like or None, optional

list of dicts, optional list of dicts, optional

list of dtypes list of dtypes

list of file-like objects list of file-like objects

list of int or list of str list of int or list of str

list of int representing new level order. list of int representing new level order.

list of integers list of integers

list of label arrays list of label arrays

list of list of strings list of list of strings

list of lists list of lists

list of ndarrays list of ndarrays

list of new axis labels list of new axis labels

list of node-like list of node-like

list of openpyxl.styles.Color list of openpyxl.styles.Color

list of paths (string or list of strings), default None list of paths (string or list of strings), default None

list of sequences, default None list of sequences, default None

list of size of the levels list of size of the levels

list of str list of str

list of str to be drawn as titles of left DataFrames list of str to be drawn as titles of left DataFrames

list of strings list of strings

list of strings or None list of strings or None

list or dict, default: None list or dict, default: None

list or dict, optional list or dict, optional

list or str list or str

list or tuple, optional, default: None list or tuple, optional, default: None

list(str) (optional) list(str) (optional)

list, default None list, default None

list, default: None list, default: None

list, if supplied, only call the block if the filter is in list, if supplied, only call the block if the filter is in

list, optional list, optional

list, tuple or dict, optional, default: None list, tuple or dict, optional, default: None

list, tuple, 1-d array, or Series list, tuple, 1-d array, or Series

list-liek of bins list-liek of bins

list-like list-like

list-like of Categorical, CategoricalIndex, list-like of Categorical, CategoricalIndex,

list-like of dtypes or None (default), optional, list-like of dtypes or None (default), optional,

list-like of list-likes list-like of list-likes

list-like of numbers, optional list-like of numbers, optional

list-like or None, default None list-like or None, default None

list-like or None, optional, default None list-like or None, optional, default None

list-like positional indexer list-like positional indexer

list-like which has the same length as collections list-like which has the same length as collections

list-like, containing floats from interval [0,1] list-like, containing floats from interval [0,1]

list-like, default None list-like, default None

list-like, dict-like or callable list-like, dict-like or callable

list-like, int or str, default 0 list-like, int or str, default 0

list-like, optional list-like, optional

list-like, or list of list-likes list-like, or list of list-likes

list_like list_like

major axis label (panel item row) major axis label (panel item row)

mapping, function, label, or list of labels mapping, function, label, or list of labels

matplotlib Artist or its list-like matplotlib Artist or its list-like

matplotlib Axes object matplotlib Axes object

matplotlib Axes object, or its list-like matplotlib Axes object, or its list-like

matplotlib Text object, or its list-like matplotlib Text object, or its list-like

matplotlib axes object, default None matplotlib axes object, default None

matplotlib axis object matplotlib axis object

matplotlib.AxesSubplot or np.array of them matplotlib.AxesSubplot or np.array of them

matplotlib.Figure matplotlib.Figure

maybe a string version of the object maybe a string version of the object

minor axis label (panel item column) minor axis label (panel item column)

my parent HDFStore my parent HDFStore

name of module as a replacement, optional. name of module as a replacement, optional.

name of module to be deprecated. name of module to be deprecated.

name, tuple/list of names, or array-like name, tuple/list of names, or array-like

name/number, defaults to None name/number, defaults to None

ndarray ndarray

ndarray (1-d) ndarray (1-d)

ndarray (1-d) or Index ndarray (1-d) or Index

ndarray (boolean dtype) ndarray (boolean dtype)

ndarray (structured dtype), list of tuples, dict, or DataFrame ndarray (structured dtype), list of tuples, dict, or DataFrame

ndarray of floats ndarray of floats

ndarray of int64 or None ndarray of int64 or None

ndarray or None, default None ndarray or None, default None

ndarray or object value ndarray or object value

ndarray or scalar ndarray or scalar

ndarray with updated values ndarray with updated values

ndarray with values replace by the fill_value ndarray with values replace by the fill_value

ndarray, Categorical ndarray, Categorical

ndarray, scalar, or pandas object ndarray, scalar, or pandas object

ndarray-like ndarray-like

ndarray-like or scalar ndarray-like or scalar

ndim(self)-1 ndim(self)-1

new codes new codes

new ref_items new ref_items

new shape new shape

node-like node-like

non-negative integer non-negative integer

np.array / Series / Index / list-like np.array / Series / Index / list-like

np.dtype, optional np.dtype, optional

np.ndarray np.ndarray

np.ndarray or None np.ndarray or None

np.ndarray or iterable np.ndarray or iterable

nrows to include in iteration, return an iterator nrows to include in iteration, return an iterator

number number

number/name of the axis, defaults to 0 number/name of the axis, defaults to 0

numeric if parsing succeeded. numeric if parsing succeeded.

numeric or datetime-like, default None numeric or datetime-like, default None

numeric, string, or DateOffset, default None numeric, string, or DateOffset, default None

numpy dtype or pandas type numpy dtype or pandas type

numpy dtype or pandas type, optional numpy dtype or pandas type, optional

numpy ndarray (structured or homogeneous), dict, or DataFrame numpy ndarray (structured or homogeneous), dict, or DataFrame

numpy-array numpy-array

numpy.dtype or None numpy.dtype or None

object object

object (the node to index) object (the node to index)

object to be converted object to be converted

object to be converted if possible object to be converted if possible

object to be tested, returned from boxplot object to be tested, returned from boxplot

object, default '' object, default ''

object, default None object, default None

object, defaults to first n levels (n=1 or len(key)) object, defaults to first n levels (n=1 or len(key))

object, optional object, optional

object, optional, default None object, optional, default None

object, type of objs object, type of objs

objects or methods in module that will no longer be objects or methods in module that will no longer be

one of the converted indices either exceeded the number one of the converted indices either exceeded the number

one-parameter function, optional one-parameter function, optional

openpyxl.styles.Alignment openpyxl.styles.Alignment

openpyxl.styles.Border openpyxl.styles.Border

openpyxl.styles.Color openpyxl.styles.Color

openpyxl.styles.Fill openpyxl.styles.Fill

openpyxl.styles.Font openpyxl.styles.Font

openpyxl.styles.Side openpyxl.styles.Side

optional optional

optional (if not supplied, use self.axes) optional (if not supplied, use self.axes)

optional categories, defaults to existing optional categories, defaults to existing

optional constant from csv module optional constant from csv module

optional int optional int

optional list optional list

optional name attribute, defaults to existing optional name attribute, defaults to existing

optional ordered attribute, defaults to existing optional ordered attribute, defaults to existing

optional sequence of objects optional sequence of objects

optional, a list of columns that if not None, will limit the optional, a list of columns that if not None, will limit the

optional, a passed method name ; possibly to take different optional, a passed method name ; possibly to take different

optional, array-like optional, array-like

optional, boolean, return an iterator, default False optional, boolean, return an iterator, default False

optional, defaults False. optional, defaults False.

optional, defaults to tab optional, defaults to tab

optional, integer (defaults to None), row number to start optional, integer (defaults to None), row number to start

optional, nrows to include in iteration, return an iterator optional, nrows to include in iteration, return an iterator

optional, {'a', 'w', 'r+'}, default 'a' optional, {'a', 'w', 'r+'}, default 'a'

other names for a single axis (dict) other names for a single axis (dict)

other plotting keyword arguments other plotting keyword arguments

pandas date offset or offset alias for identifying bin edges pandas date offset or offset alias for identifying bin edges

pandas object pandas object

pandas_dtype pandas_dtype

pandas_dtype / np.dtype pandas_dtype / np.dtype

pandas_dtype, optional pandas_dtype, optional

passed value passed value

path path

path (string), buffer or path object (pathlib.Path or path (string), buffer or path object (pathlib.Path or

path name or buffer path name or buffer

pd.HolidayCalendar or np.busdaycalendar pd.HolidayCalendar or np.busdaycalendar

pd.Index pd.Index

pd.MultiIndex pd.MultiIndex

pd.Series pd.Series

perform inplace modification, default is False perform inplace modification, default is False

possibly a callable possibly a callable

pytz.timezone or dateutil.tz.tzfile pytz.timezone or dateutil.tz.tzfile

raise on invalid input raise on invalid input

recarray recarray

regex regex

replace NaN with this value if the unstack produces replace NaN with this value if the unstack produces

row label row label

same as input object same as input object

same type as caller same type as caller

same types as can be passed to DataFrame or scipy.sparse.spmatrix same types as can be passed to DataFrame or scipy.sparse.spmatrix

scalar scalar

scalar (int) or Series (slice, sequence) scalar (int) or Series (slice, sequence)

scalar item to coerce scalar item to coerce

scalar or Series scalar or Series

scalar or array scalar or array

scalar or array_like scalar or array_like

scalar or array_like, optional scalar or array_like, optional

scalar or ndarray scalar or ndarray

scalar value scalar value

scalar, Series, or array-like scalar, Series, or array-like

scalar, default is 'unix' scalar, default is 'unix'

scalar, dict, Series scalar, dict, Series

scalar, dict, list, str, regex, default None scalar, dict, list, str, regex, default None

scalar, hashable sequence, dict-like or function, optional scalar, hashable sequence, dict-like or function, optional

scalar, list-like, optional scalar, list-like, optional

scalar, str, list-like, or dict, default None scalar, str, list-like, or dict, default None

scipy.sparse.coo_matrix scipy.sparse.coo_matrix

separator character to use separator character to use

sequence sequence

sequence of (key, value) pairs sequence of (key, value) pairs

sequence of arrays sequence of arrays

sequence of column labels, optional sequence of column labels, optional

sequence of sequences sequence of sequences

sequence of str sequence of str

sequence of strings sequence of strings

sequence or list of sequence sequence or list of sequence

sequence, default sequence, default

sequence, default None sequence, default None

sequence, optional sequence, optional

set set

set of to_concat dtypes set of to_concat dtypes

set or list-like set or list-like

set or sequence of values set or sequence of values

setup the axis properties (default True) setup the axis properties (default True)

single SQLtype or dict of column name to SQL type, default None single SQLtype or dict of column name to SQL type, default None

single label or list-like single label or list-like

single tuple single tuple

single type or dict of column name to SQL type, default None single type or dict of column name to SQL type, default None

slice slice

some index contained in the index some index contained in the index

sort by the remaining levels after level. sort by the remaining levels after level.

sqlite connection object sqlite connection object

stack trace object stack trace object

starting date, datetime-like, optional starting date, datetime-like, optional

starting value, datetime-like, optional starting value, datetime-like, optional

starting value, period-like, optional starting value, period-like, optional

starting value, timedelta-like, optional starting value, timedelta-like, optional

str str

str (optional) str (optional)

str or None str or None

str or None, container of strings str or None, container of strings

str or None, optional str or None, optional

str or PeriodDtype, default None str or PeriodDtype, default None

str or buffer str or buffer

str or compiled regular expression, optional str or compiled regular expression, optional

str or csv.Dialect instance, default None str or csv.Dialect instance, default None

str or file-like str or file-like

str or int, optional str or int, optional

str or list str or list

str or list of str str or list of str

str or list-like str or list-like

str or list-like which has the same length as texts str or list-like which has the same length as texts

str or ndarray-like, optional str or ndarray-like, optional

str or numpy.dtype str or numpy.dtype

str or regex str or regex

str or regular expression str or regular expression

str or sequence str or sequence

str or tuple str or tuple

str or unicode str or unicode

str {'E', 'S'} str {'E', 'S'}

str {'dict', 'list', 'series', 'split', 'records', 'index'} str {'dict', 'list', 'series', 'split', 'records', 'index'}

str, Default 'Mon Tue Wed Thu Fri' str, Default 'Mon Tue Wed Thu Fri'

str, array-like str, array-like

str, default "" str, default ""

str, default '.' str, default '.'

str, default 'Attributes' str, default 'Attributes'

str, default 'Categorical' str, default 'Categorical'

str, default 'DataFrame' str, default 'DataFrame'

str, default 'Index' str, default 'Index'

str, default 'Panel' str, default 'Panel'

str, default 'Series' str, default 'Series'

str, default 'SparseDataFrame' str, default 'SparseDataFrame'

str, default 'SparseSeries' str, default 'SparseSeries'

str, default '\d+' str, default '\d+'

str, default 's+'. str, default 's+'.

str, default 'numpy array' str, default 'numpy array'

str, default None str, default None

str, default is 'utf-8' str, default is 'utf-8'

str, dict str, dict

str, method of resampling ('ffill', 'bfill') str, method of resampling ('ffill', 'bfill')

str, optional str, optional

str, optional (python 2) str, optional (python 2)

str, optional, default 'numexpr' str, optional, default 'numexpr'

str, optional, default 'pandas' str, optional, default 'pandas'

str, regex, list, dict, Series, numeric, or None str, regex, list, dict, Series, numeric, or None

str, tuple, datetime.timedelta, DateOffset or None str, tuple, datetime.timedelta, DateOffset or None

str, unicode, or file-like str, unicode, or file-like

str, {'raise', 'ignore'}, default 'raise' str, {'raise', 'ignore'}, default 'raise'

string string

string (if not buffer passed) string (if not buffer passed)

string (length 1), default '"' string (length 1), default '"'

string (length 1), default None string (length 1), default None

string (optional) string (optional)

string (regular expression) string (regular expression)

string / cython mapped function string / cython mapped function

string / dtype string / dtype

string / frequency object, defaults to None string / frequency object, defaults to None

string / list of selections string / list of selections

string File path, BytesIO like or string string File path, BytesIO like or string

string File path, buffer-like, or None string File path, buffer-like, or None

string SQL query or SQLAlchemy Selectable (select or text object) string SQL query or SQLAlchemy Selectable (select or text object)

string file path or file handle / StringIO string file path or file handle / StringIO

string file path, or file-like object string file path, or file-like object

string in time format, datetime.time, list, tuple, 1-d array, Series string in time format, datetime.time, list, tuple, 1-d array, Series

string key to encode, default to _default_hash_key string key to encode, default to _default_hash_key

string list of accessors to add string list of accessors to add

string or DateOffset object, optional (default None) string or DateOffset object, optional (default None)

string or DateOffset, default 'B' (business daily) string or DateOffset, default 'B' (business daily)

string or DateOffset, default 'C' (CustomBusinessDay) string or DateOffset, default 'C' (CustomBusinessDay)

string or DateOffset, default 'D' (calendar daily) string or DateOffset, default 'D' (calendar daily)

string or DateOffset, optional string or DateOffset, optional

string or ExcelWriter object string or ExcelWriter object

string or None string or None

string or None, default 'numexpr', {'python', 'numexpr'} string or None, default 'numexpr', {'python', 'numexpr'}

string or None, default None string or None, default None

string or SQLAlchemy Selectable (select or text object) string or SQLAlchemy Selectable (select or text object)

string or callable string or callable

string or compiled regex string or compiled regex

string or datetime-like, default None string or datetime-like, default None

string or file handle, default None string or file handle, default None

string or file-like object string or file-like object

string or int, optional string or int, optional

string or list of strings, default None string or list of strings, default None

string or list of strings, optional, default: None string or list of strings, optional, default: None

string or np.dtype string or np.dtype

string or object string or object

string or object, optional string or object, optional

string or pandas offset object, optional string or pandas offset object, optional

string or period object, optional string or period object, optional

string or period-like, default None string or period-like, default None

string or pytz.timezone object string or pytz.timezone object

string or sequence string or sequence

string or sequence, default None string or sequence, default None

string or sequence, default: None string or sequence, default: None

string or sequence, or False, default None string or sequence, or False, default None

string or timedelta-like, default None string or timedelta-like, default None

string or tuple string or tuple

string term expression, Expr, or list-like of Exprs string term expression, Expr, or list-like of Exprs

string tz that this represents string tz that this represents

string unit that this represents, currently must be 'ns' string unit that this represents, currently must be 'ns'

string {'xport', 'sas7bdat'} or None string {'xport', 'sas7bdat'} or None

string, string,

string, DateOffset, dateutil.relativedelta string, DateOffset, dateutil.relativedelta

string, Default 'Mon Tue Wed Thu Fri' string, Default 'Mon Tue Wed Thu Fri'

string, default string, default

string, default "Pandas" string, default "Pandas"

string, default "|" string, default "|"

string, default '' string, default ''

string, default ',' string, default ','

string, default '.' string, default '.'

string, default 'All' string, default 'All'

string, default '_' string, default '_'

string, default 'mean' string, default 'mean'

string, default 'ms' (milliseconds) string, default 'ms' (milliseconds)

string, default 'ns' string, default 'ns'

string, default 'pandas', {'pandas', 'python'} string, default 'pandas', {'pandas', 'python'}

string, default 'utf8' string, default 'utf8'

string, default None string, default None

string, default 'inf' string, default 'inf'

string, default '\n' string, default '\n'

string, default frequency of PeriodIndex string, default frequency of PeriodIndex

string, default is None string, default is None

string, defaults to None string, defaults to None

string, dict, function string, dict, function

string, list of fields, array-like string, list of fields, array-like

string, list of strings, or dict of strings, default None string, list of strings, or dict of strings, default None

string, number, or hashable object string, number, or hashable object

string, optional string, optional

string, optional, default: None string, optional, default: None

string, optional, defaults None string, optional, defaults None

string, optional, {'pad', 'ffill', 'bfill'} string, optional, {'pad', 'ffill', 'bfill'}

string, path object (pathlib.Path or py._path.local.LocalPath), string, path object (pathlib.Path or py._path.local.LocalPath),

string, pytz.timezone, dateutil.tz.tzfile or None string, pytz.timezone, dateutil.tz.tzfile or None

string, the type of setting error string, the type of setting error

string, timedelta, list, tuple, 1-d array, or Series string, timedelta, list, tuple, 1-d array, or Series

string, valid regular expression string, valid regular expression

string, {'r', 'r+', 'a'}, default 'r'. Mode to use when opening string, {'r', 'r+', 'a'}, default 'r'. Mode to use when opening

string/callable to apply string/callable to apply

string/dtype or None string/dtype or None

string/pickled tz object string/pickled tz object

subclass of Styler subclass of Styler

text_type text_type

the actual metadata the actual metadata

the axis of the selector dimension (int) the axis of the selector dimension (int)

the axis to convert the axis to convert

the axis to localize the axis to localize

the callable or function name to operate on at the block level the callable or function name to operate on at the block level

the class to add the methods/properties to the class to add the methods/properties to

the class to get methods/properties & doc-strings the class to get methods/properties & doc-strings

the columns I want back the columns I want back

the dtype of the Interval the dtype of the Interval

the encoding of the data, optional the encoding of the data, optional

the encoding to use to decode py3 bytes, default is 'utf-8' the encoding to use to decode py3 bytes, default is 'utf-8'

the indexer to the original array the indexer to the original array

the label list the label list

the names of the axes in order (lowest to highest) the names of the axes in order (lowest to highest)

the ndarray like converted values the ndarray like converted values

the ndarray that we want to maybe upcast the ndarray that we want to maybe upcast

the number of axis for the default stats (int) the number of axis for the default stats (int)

the object from which to get the attributes that we are going the object from which to get the attributes that we are going

the object to be resampled the object to be resampled

the object to write to the clipboard the object to write to the clipboard

the passed chunking value (default is 50000) the passed chunking value (default is 50000)

the passed kwargs the passed kwargs

the passed start value (default is None) the passed start value (default is None)

the path (string) or HDFStore object the path (string) or HDFStore object

the path or buffer to write the result string the path or buffer to write the result string

the reference store the reference store

the return type of func. the return type of func.

the rows to iterate on the rows to iterate on

the split index of binlabels to group the item of axis the split index of binlabels to group the item of axis

the storage repr of NaN, optional the storage repr of NaN, optional

the subject object the subject object

the table to apply the where criteria (defaults to keys[0] the table to apply the where criteria (defaults to keys[0]

the unique Index the unique Index

the values to create the new Index, optional the values to create the new Index, optional

the where of the query the where of the query

timedelta timedelta

timedelta, default timedelta(0) timedelta, default timedelta(0)

timedelta64/arrays of timedelta64 if parsing succeeded timedelta64/arrays of timedelta64 if parsing succeeded

tree-like tree-like

try casting the results to the input type try casting the results to the input type

tuple tuple

tuple (optional) tuple (optional)

tuple of (ndarray, boolean) tuple of (ndarray, boolean)

tuple of 3 elements (ufunc, signature, domain) tuple of 3 elements (ufunc, signature, domain)

tuple of int, str tuple of int, str

tuple or Exception tuple or Exception

tuple, default None tuple, default None

tuple, optional tuple, optional

tuple, slice, scalar tuple, slice, scalar

tuple/list tuple/list

typ typ

type type

type of caller type of caller

type of caller (new object) type of caller (new object)

type of caller or None if inplace=True type of caller or None if inplace=True

type of compressor (zlib or blosc), default to None (no type of compressor (zlib or blosc), default to None (no

type of input type of input

type of input argument type of input argument

type of items contained in object type of items contained in object

type of obj type of obj

type of object stored in file type of object stored in file

type of object to recover (series or frame), default 'frame' type of object to recover (series or frame), default 'frame'

unary callable unary callable

unicode unicode

unit of the arg (D,h,m,s,ms,us,ns) denote the unit, which is an unit of the arg (D,h,m,s,ms,us,ns) denote the unit, which is an

updates the default attributes for this Index updates the default attributes for this Index

upper left cell column to dump data frame upper left cell column to dump data frame

upper left cell row to dump data frame upper left cell row to dump data frame

what we want to fill with what we want to fill with

where to reorder levels where to reorder levels

whether to try to use numexpr (default True) whether to try to use numexpr (default True)

which end of bin is closed; left (default), right which end of bin is closed; left (default), right

writable buffer, defaults to sys.stdout writable buffer, defaults to sys.stdout

{'NFC', 'NFKC', 'NFD', 'NFKD'} {'NFC', 'NFKC', 'NFD', 'NFKD'}

{'a', 'w', 'r', 'r+'}, default 'a' {'a', 'w', 'r', 'r+'}, default 'a'

{'all', 'any'}, default 'any' {'all', 'any'}, default 'any'

{'any', 'all'} {'any', 'all'}

{'auto', 'pyarrow', 'fastparquet'}, default 'auto' {'auto', 'pyarrow', 'fastparquet'}, default 'auto'

{'average', 'min', 'max', 'first', 'dense'} {'average', 'min', 'max', 'first', 'dense'}

{'average', 'min', 'max', 'first', 'dense'}, default 'average' {'average', 'min', 'max', 'first', 'dense'}, default 'average'

{'backfill', 'bfill', 'pad', 'ffill', None}, default None {'backfill', 'bfill', 'pad', 'ffill', None}, default None

{'backfill'/'bfill', 'pad'/'ffill'}, default None {'backfill'/'bfill', 'pad'/'ffill'}, default None

{'block', 'integer'} {'block', 'integer'}

{'block', 'integer'}, default 'block' {'block', 'integer'}, default 'block'

{'columns', 'index'}, default 'columns' {'columns', 'index'}, default 'columns'

{'fail', 'replace', 'append'}, default 'fail' {'fail', 'replace', 'append'}, default 'fail'

{'ffill', None}, default None {'ffill', None}, default None

{'first', 'last', False}, default 'first' {'first', 'last', False}, default 'first'

{'first', 'last'} (optional, default='last') {'first', 'last'} (optional, default='last')

{'first', 'last'}, default 'first' {'first', 'last'}, default 'first'

{'fraction', 'lower', 'higher'}, optional {'fraction', 'lower', 'higher'}, optional

{'hist', 'kde'} {'hist', 'kde'}

{'ignore', 'raise', 'coerce'}, default 'raise' {'ignore', 'raise', 'coerce'}, default 'raise'

{'ignore', 'raise'}, default 'raise' {'ignore', 'raise'}, default 'raise'

{'infer', 'gzip', 'bz2', 'xz', 'zip', None}, default 'infer' {'infer', 'gzip', 'bz2', 'xz', 'zip', None}, default 'infer'

{'infer', 'gzip', 'bz2', 'xz', None}, default 'infer' {'infer', 'gzip', 'bz2', 'xz', None}, default 'infer'

{'infer', 'gzip', 'bz2', 'zip', 'xz', None}, default 'infer' {'infer', 'gzip', 'bz2', 'zip', 'xz', None}, default 'infer'

{'inner', 'outer'}, default 'outer' {'inner', 'outer'}, default 'outer'

{'integer', 'signed', 'unsigned', 'float'} , default None {'integer', 'signed', 'unsigned', 'float'} , default None

{'items', 'major', 'minor'} {'items', 'major', 'minor'}

{'items', 'major', 'minor'} or {0, 1, 2} {'items', 'major', 'minor'} or {0, 1, 2}

{'items', 'major', 'minor}, default 1/'major' {'items', 'major', 'minor}, default 1/'major'

{'items', 'minor', 'major'}, or {0, 1, 2}, or a tuple with two {'items', 'minor', 'major'}, or {0, 1, 2}, or a tuple with two

{'items', 'minor'}, default 'items' {'items', 'minor'}, default 'items'

{'ix', 'loc', 'getitem', 'iloc'} or None {'ix', 'loc', 'getitem', 'iloc'} or None

{'ix', 'loc', 'getitem'} {'ix', 'loc', 'getitem'}

{'ix', 'loc', 'getitem'} or None {'ix', 'loc', 'getitem'} or None

{'keep', 'top', 'bottom'} {'keep', 'top', 'bottom'}

{'keep', 'top'}, default 'keep' {'keep', 'top'}, default 'keep'

{'left', 'right', 'both', 'neither'}, default 'right' {'left', 'right', 'both', 'neither'}, default 'right'

{'left', 'right', 'both'}, default 'both' {'left', 'right', 'both'}, default 'both'

{'left', 'right', 'both'}, default 'left' {'left', 'right', 'both'}, default 'left'

{'left', 'right', 'outer', 'inner'} {'left', 'right', 'outer', 'inner'}

{'left', 'right', 'outer', 'inner'}, default 'outer' {'left', 'right', 'outer', 'inner'}, default 'outer'

{'left', 'right', 'outer', 'inner'}, default: 'left' {'left', 'right', 'outer', 'inner'}, default: 'left'

{'left', 'right'} {'left', 'right'}

{'left', 'right'}, default 'left' {'left', 'right'}, default 'left'

{'left', 'zero',' mid'}, default 'left' {'left', 'zero',' mid'}, default 'left'

{'left'}, default 'left' {'left'}, default 'left'

{'legacy', 'standard'}, default 'legacy' {'legacy', 'standard'}, default 'legacy'

{'linear', 'log'} {'linear', 'log'}

{'linear', 'lower', 'higher', 'midpoint', 'nearest'} {'linear', 'lower', 'higher', 'midpoint', 'nearest'}

{'major', 'minor', 'items'}, default 'major' {'major', 'minor', 'items'}, default 'major'

{'major', 'minor'}, default 'minor' {'major', 'minor'}, default 'minor'

{'mergesort', 'quicksort', 'heapsort'}, default 'quicksort' {'mergesort', 'quicksort', 'heapsort'}, default 'quicksort'

{'pearson', 'kendall', 'spearman'} {'pearson', 'kendall', 'spearman'}

{'raise', 'ignore'}, default 'raise' {'raise', 'ignore'}, default 'raise'

{'raise', 'ignore'}, default 'raise'. {'raise', 'ignore'}, default 'raise'.

{'right', 'left'} {'right', 'left'}

{'s', 'e', 'start', 'end'} {'s', 'e', 'start', 'end'}

{'snappy', 'gzip', 'brotli', 'None'} {'snappy', 'gzip', 'brotli', 'None'}

{'start', 'end', 'e', 's'} {'start', 'end', 'e', 's'}

{'start', 'end', 's', 'e'} {'start', 'end', 's', 'e'}

{'start', 'end'}, default end {'start', 'end'}, default end

{'zlib', 'lzo', 'bzip2', 'blosc'}, default 'zlib' {'zlib', 'lzo', 'bzip2', 'blosc'}, default 'zlib'

{0 or 'index', 1 or 'columns'} {0 or 'index', 1 or 'columns'}

{0 or 'index', 1 or 'columns'}, default 0 {0 or 'index', 1 or 'columns'}, default 0

{0 or 'index', 1 or 'columns'}, or tuple/list thereof {0 or 'index', 1 or 'columns'}, or tuple/list thereof

{0, 1, 'index', 'columns'} {0, 1, 'index', 'columns'}

{0, 1, 'index', 'columns'} (default 0) {0, 1, 'index', 'columns'} (default 0)

{0, 1, ..., 6} {0, 1, ..., 6}

{0, 1, ..., 6}, default None {0, 1, ..., 6}, default None

{0, 1, 2, 3, ...}, default None {0, 1, 2, 3, ...}, default None

{0, 1} {0, 1}

{0, 1}, default 0 {0, 1}, default 0

{0/'index', 1/'columns'}, default 0 {0/'index', 1/'columns'}, default 0

{0} {0}

{BlockIndex, IntIndex} {BlockIndex, IntIndex}

{BlockIndex, IntIndex}, optional {BlockIndex, IntIndex}, optional

{False, True} {False, True}

{False, True}, optional {False, True}, optional

{None, 'epoch', 'iso'} {None, 'epoch', 'iso'}

{None, 'gzip', 'bz2', 'xz'} {None, 'gzip', 'bz2', 'xz'}

{None, 'ignore'} {None, 'ignore'}

{None, True, False}, optional {None, True, False}, optional

{None} {None}

{None}, optional {None}, optional

{Series, DataFrame, Panel} {Series, DataFrame, Panel}

{True, False} {True, False}

{True, False}, optional {True, False}, optional

{True, False}, optional, default False {True, False}, optional, default False

{array-like (1-D), Series, SparseSeries, dict} {array-like (1-D), Series, SparseSeries, dict}

{array-like, Series, SparseSeries, dict} {array-like, Series, SparseSeries, dict}

{default 'raise', 'drop'}, optional {default 'raise', 'drop'}, optional

{int, string} {int, string}

{int}, optional {int}, optional

{np.random.RandomState, int}, optional {np.random.RandomState, int}, optional

{var} {var}