4 examples of 'pandas std' in Python

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def std(self, axis=None, dtype=None, out=None, ddof=1, keepdims=False, skipna=True):
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    nv.validate_stat_ddof_func(
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        (), dict(dtype=dtype, out=out, keepdims=keepdims), fname="std"
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    )
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    return nanops.nanstd(self._ndarray, axis=axis, skipna=skipna, ddof=ddof)

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def std(a,axis=None):
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    return ma.asarray(a).std(axis=axis,ddof=1)

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def std(idadf):
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    """
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    See IdaDataFrame.std
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    """
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    columns = idadf._get_numerical_columns()
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    if not columns:
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        warnings.warn("%s has no numeric columns"%idadf.name)
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        return pd.Series()
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    std_tuple = _numeric_stats(idadf, "std", columns)
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    result = pd.Series(std_tuple)
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    result.index = columns
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    if isinstance(idadf, ibmdbpy.IdaSeries):
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        result = result[0]
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    return result

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@sdc_overload_method(DataFrameType, 'std')
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def std_overload(df, axis=None, skipna=None, level=None, ddof=1, numeric_only=None):
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    """
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    Intel Scalable Dataframe Compiler User Guide
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    ********************************************
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    Pandas API: pandas.DataFrame.std
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    Limitations
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    -----------
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    Parameters ``axis``, ``level`` and ``numeric_only`` are unsupported.
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    Examples
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    --------
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    .. literalinclude:: ../../../examples/dataframe/dataframe_std.py
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       :language: python
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       :lines: 35-
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       :caption: Return sample standard deviation over columns.
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       :name: ex_dataframe_std
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    .. command-output:: python ./dataframe/dataframe_std.py
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       :cwd: ../../../examples
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    .. seealso::
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        :ref:`Series.std `
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            Returns sample standard deviation over Series.
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        :ref:`Series.var `
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            Returns unbiased variance over Series.
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        :ref:`DataFrame.var `
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            Returns unbiased variance over DataFrame.
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    Intel Scalable Dataframe Compiler Developer Guide
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    *************************************************
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    Pandas DataFrame method :meth:`pandas.DataFrame.std` implementation.
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    .. only:: developer
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        Test: python -m sdc.runtests -k sdc.tests.test_dataframe.TestDataFrame.test_std*
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    """
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    name = 'std'
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    check_type(name, df, axis=axis, skipna=skipna, level=level, numeric_only=numeric_only, ddof=ddof)
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    params = {'axis': None, 'skipna': None, 'level': None, 'ddof': 1, 'numeric_only': None}
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    ser_par = {'skipna': 'skipna', 'level': 'level', 'ddof': 'ddof'}
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    return sdc_pandas_dataframe_reduce_columns(df, name, params, ser_par)