Welcome to param_types's documentation!

Cross-reference results were generated using, the aliases dictionary below.

numpydoc_xref_aliases = {
    # python
    'sequence': ':term:`python:sequence`',
    'iterable': ':term:`python:iterable`',
    'class': ':term:`python:class`',
    'lambda': ':term:`python:lambda`',
    'file-like': ':term:`file-like<python:file-like object>`',
    'file_like': ':term:`file_like<python:file-like object>`',
    'string': 'str',
    'strings': 'str',
    'dictionary': 'dict',
    'dictionaries': 'dict',
    'tuples': 'tuple',
    'boolean': 'bool',
    'integer': 'int',
    'integers': 'int',
    'Integer': 'int',
    'ints': 'int',
    'floats': 'float',
    'double': 'float',
    # numpy
    'array': 'numpy.ndarray',
    'dtype': 'numpy.dtype',
    'ndarray': 'numpy.ndarray',
    'matrix': 'numpy.matrix',
    'MaskedArray': 'numpy.ma.MaskedArray',
    'array-like': ':term:`array-like<numpy:array_like>`',
    'array_like': ':term:`numpy:array_like`',
    # scipy
    'sparse': 'scipy.sparse.spmatrix',
    # pandas
    'dataframe': 'pandas.DataFrame',
    'DataFrame': 'pandas.DataFrame',
    'Series': 'pandas.Series',
    'series': 'pandas.Series',
}

Contents:

Indices and tables