DatetimeIndex.strftime(date_format) [source] Return an array of formatted strings specified by date_format, which supports the same string format as the python standard library. Details of the string format can be found in python string format doc New in version 0.17.0. Parameters: date_format : str date format string (e.g. ?%Y-%m-%d?) Returns: ndarray of formatted strings

DatetimeIndex.reindex(target, method=None, level=None, limit=None, tolerance=None) [source] Create index with target?s values (move/add/delete values as necessary) Parameters: target : an iterable Returns: new_index : pd.Index Resulting index indexer : np.ndarray or None Indices of output values in original index

DatetimeIndex.symmetric_difference(other, result_name=None) [source] Compute the symmetric difference of two Index objects. It?s sorted if sorting is possible. Parameters: other : Index or array-like result_name : str Returns: symmetric_difference : Index Notes symmetric_difference contains elements that appear in either idx1 or idx2 but not both. Equivalent to the Index created by idx1.difference(idx2) | idx2.difference(idx1) with duplicates dropped. Examples >>> idx1 = Index(

Panel4D.cumsum(axis=None, skipna=True, *args, **kwargs) [source] Return cumulative sum over requested axis. Parameters: axis : {labels (0), items (1), major_axis (2), minor_axis (3)} skipna : boolean, default True Exclude NA/null values. If an entire row/column is NA, the result will be NA Returns: cumsum : Panel

DatetimeIndex.difference(other) [source] Return a new Index with elements from the index that are not in other. This is the set difference of two Index objects. It?s sorted if sorting is possible. Parameters: other : Index or array-like Returns: difference : Index Examples >>> idx1 = pd.Index([1, 2, 3, 4]) >>> idx2 = pd.Index([3, 4, 5, 6]) >>> idx1.difference(idx2) Int64Index([1, 2], dtype='int64')

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

Series.dt.dayofyear The ordinal day of the year

Index.is_all_dates = None

pandas.reset_option(pat) = Reset one or more options to their default value. Pass ?all? as argument to reset all options. Available options: display.[chop_threshold, colheader_justify, column_space, date_dayfirst, date_yearfirst, encoding, expand_frame_repr, float_format, height, large_repr] display.latex.[escape, longtable, repr] display.[line_width, max_categories, max_columns, max_colwidth, max_info_columns, max_info_rows, max_rows, max_seq_items, memory_usage, mpl_style, multi_sparse,

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