Panel.to_pickle()

Panel.to_pickle(path) [source] Pickle (serialize) object to input file path. Parameters: path : string File path

CategoricalIndex[source]

class pandas.CategoricalIndex [source] Immutable Index implementing an ordered, sliceable set. CategoricalIndex represents a sparsely populated Index with an underlying Categorical. New in version 0.16.1. Parameters: data : array-like or Categorical, (1-dimensional) categories : optional, array-like categories for the CategoricalIndex ordered : boolean, designating if the categories are ordered copy : bool Make a copy of input ndarray name : object Name to be stored in the index

Index.shift()

Index.shift(periods=1, freq=None) [source] Shift Index containing datetime objects by input number of periods and DateOffset Returns: shifted : Index

Index.is_lexsorted_for_tuple()

Index.is_lexsorted_for_tuple(tup) [source]

Series.dt.is_month_start

Series.dt.is_month_start Logical indicating if first day of month (defined by frequency)

DatetimeIndex.nunique()

DatetimeIndex.nunique(dropna=True) [source] Return number of unique elements in the object. Excludes NA values by default. Parameters: dropna : boolean, default True Don?t include NaN in the count. Returns: nunique : int

Series.plot.bar()

Series.plot.bar(**kwds) [source] Vertical bar plot New in version 0.17.0. Parameters: **kwds : optional Keyword arguments to pass on to pandas.Series.plot(). Returns: axes : matplotlib.AxesSubplot or np.array of them

Series.add_suffix()

Series.add_suffix(suffix) [source] Concatenate suffix string with panel items names. Parameters: suffix : string Returns: with_suffix : type of caller

DataFrame.first_valid_index()

DataFrame.first_valid_index() [source] Return label for first non-NA/null value

Series.dt.nanoseconds

Series.dt.nanoseconds Number of nanoseconds (>= 0 and less than 1 microsecond) for each element.