TimedeltaIndex.strides return the strides of the underlying data

Warning In v0.16.0, the pandas.rpy interface has been deprecated and will be removed in a future version. Similar functionality can be accessed through the rpy2 project. See the updating section for a guide to port your code from the pandas.rpy to rpy2 functions. Updating your code to use rpy2 functions In v0.16.0, the pandas.rpy module has been deprecated and users are pointed to the similar functionality in rpy2 itself (rpy2 >= 2.4). Instead of importing import pandas.rpy.common as com

Panel4D.cummin(axis=None, skipna=True, *args, **kwargs) [source] Return cumulative minimum 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: cummin : Panel

pandas.get_option(pat) = Retrieves the value of the specified option. 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, notebook_repr_html, pprint_nest_depth, precision, sh

TimedeltaIndex.reshape(*args, **kwargs) [source] NOT IMPLEMENTED: do not call this method, as reshaping is not supported for Index objects and will raise an error. Reshape an Index.

MultiIndex.dtype_str = None

DatetimeIndex.drop_duplicates(*args, **kwargs) [source] Return Index with duplicate values removed Parameters: keep : {?first?, ?last?, False}, default ?first? first : Drop duplicates except for the first occurrence. last : Drop duplicates except for the last occurrence. False : Drop all duplicates. take_last : deprecated Returns: deduplicated : Index

DatetimeIndex.nlevels

Series.dt.to_pytimedelta() [source]

MultiIndex.ndim return the number of dimensions of the underlying data, by definition 1