Series.combine(other, func, fill_value=nan) [source] Perform elementwise binary operation on two Series using given function with optional fill value when an index is missing from one Series or the other Parameters: other : Series or scalar value func : function fill_value : scalar value Returns: result : Series

DataFrame.truncate(before=None, after=None, axis=None, copy=True) [source] Truncates a sorted NDFrame before and/or after some particular index value. If the axis contains only datetime values, before/after parameters are converted to datetime values. Parameters: before : date Truncate before index value after : date Truncate after index value axis : the truncation axis, defaults to the stat axis copy : boolean, default is True, return a copy of the truncated section Returns: trunc

DataFrame.head(n=5) [source] Returns first n rows

Series.dt.ceil(*args, **kwargs) [source] ceil the index to the specified freq Parameters: freq : freq string/object Returns: index of same type Raises: ValueError if the freq cannot be converted

DatetimeIndex.daysinmonth The number of days in the month New in version 0.16.0.

DatetimeIndex.floor(freq) [source] floor the index to the specified freq Parameters: freq : freq string/object Returns: index of same type Raises: ValueError if the freq cannot be converted

DatetimeIndex.drop(labels, errors='raise') [source] Make new Index with passed list of labels deleted Parameters: labels : array-like errors : {?ignore?, ?raise?}, default ?raise? If ?ignore?, suppress error and existing labels are dropped. Returns: dropped : Index

pandas.pivot(index, columns, values) [source] Produce ?pivot? table based on 3 columns of this DataFrame. Uses unique values from index / columns and fills with values. Parameters: index : ndarray Labels to use to make new frame?s index columns : ndarray Labels to use to make new frame?s columns values : ndarray Values to use for populating new frame?s values Returns: DataFrame Notes Obviously, all 3 of the input arguments must have the same length

Resampler.asfreq() [source] return the values at the new freq, essentially a reindex with (no filling)

Styler.use(styles) [source] Set the styles on the current Styler, possibly using styles from Styler.export. New in version 0.17.1. Parameters: styles: list list of style functions Returns: self : Styler See also Styler.export