Index.values

Index.values return the underlying data as an ndarray

CategoricalIndex.argmax()

CategoricalIndex.argmax(axis=None) [source] return a ndarray of the maximum argument indexer See also numpy.ndarray.argmax

DatetimeIndex.is_categorical()

DatetimeIndex.is_categorical() [source]

Cookbook

This is a repository for short and sweet examples and links for useful pandas recipes. We encourage users to add to this documentation. Adding interesting links and/or inline examples to this section is a great First Pull Request. Simplified, condensed, new-user friendly, in-line examples have been inserted where possible to augment the Stack-Overflow and GitHub links. Many of the links contain expanded information, above what the in-line examples offer. Pandas (pd) and Numpy (np) are the only

MultiIndex.get_values()

MultiIndex.get_values() [source] return the underlying data as an ndarray

DataFrame.shape

DataFrame.shape Return a tuple representing the dimensionality of the DataFrame.

TimedeltaIndex.str()

TimedeltaIndex.str() [source] Vectorized string functions for Series and Index. NAs stay NA unless handled otherwise by a particular method. Patterned after Python?s string methods, with some inspiration from R?s stringr package. Examples >>> s.str.split('_') >>> s.str.replace('_', '')

DatetimeIndex.size

DatetimeIndex.size return the number of elements in the underlying data

DatetimeIndex.is_quarter_end

DatetimeIndex.is_quarter_end Logical indicating if last day of quarter (defined by frequency)

formats.style.Styler()

class pandas.formats.style.Styler(data, precision=None, table_styles=None, uuid=None, caption=None, table_attributes=None) [source] Helps style a DataFrame or Series according to the data with HTML and CSS. New in version 0.17.1. Warning This is a new feature and is under active development. We?ll be adding features and possibly making breaking changes in future releases. Parameters: data: Series or DataFrame precision: int precision to round floats to, defaults to pd.options.display.