TimedeltaIndex.get_indexer_non_unique(target) [source] return an indexer suitable for taking from a non unique index return the labels in the same order as the target, and return a missing indexer into the target (missing are marked as -1 in the indexer); target must be an iterable

TimedeltaIndex.is_unique = None

CategoricalIndex.asi8 = None

pandas.concat(objs, axis=0, join='outer', join_axes=None, ignore_index=False, keys=None, levels=None, names=None, verify_integrity=False, copy=True) [source] Concatenate pandas objects along a particular axis with optional set logic along the other axes. Can also add a layer of hierarchical indexing on the concatenation axis, which may be useful if the labels are the same (or overlapping) on the passed axis number Parameters: objs : a sequence or mapping of Series, DataFrame, or Panel obje

Series.blocks Internal property, property synonym for as_blocks()

DatetimeIndex.dtype_str = None

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

Series.item() [source] return the first element of the underlying data as a python scalar

Index.all(*args, **kwargs) [source] Return whether all elements are True Parameters: All arguments to numpy.all are accepted. Returns: all : bool or array_like (if axis is specified) A single element array_like may be converted to bool.

pandas.describe_option(pat, _print_desc=False) = Prints the description for one or more registered options. Call with not arguments to get a listing for all registered 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,