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doc_Pandas
doc_Pandas


Series.is_monotonic

Series.is_monotonic Return boolean if values in the object are monotonic_increasing New in version 0.19.0. Returns: is_monotonic : boolean

Series.str.decode()

Series.str.decode(encoding, errors='strict') [source] Decode character string in the Series/Index using indicated encoding. Equivalent to str.decode() in python2 and bytes.decode() in python3. Parameters: encoding : str errors : str, optional Returns: decoded : Series/Index of objects

TimedeltaIndex.resolution

TimedeltaIndex.resolution = None

MultiIndex.groupby()

MultiIndex.groupby(values) [source] Group the index labels by a given array of values. Parameters: values : array Values used to determine the groups. Returns: groups : dict {group name -> group labels}

Panel.to_dense()

Panel.to_dense() [source] Return dense representation of NDFrame (as opposed to sparse)

Index.transpose()

Index.transpose(*args, **kwargs) [source] return the transpose, which is by definition self

MultiIndex.identical()

MultiIndex.identical(other) [source] Similar to equals, but check that other comparable attributes are also equal

CategoricalIndex.hasnans

CategoricalIndex.hasnans = None

DatetimeIndex.min()

DatetimeIndex.min(axis=None, *args, **kwargs) [source] Return the minimum value of the Index or minimum along an axis. See also numpy.ndarray.min

Series.itemsize

Series.itemsize return the size of the dtype of the item of the underlying data

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