Welcome to trashpanda’s documentation!

trashpanda is a collection of helper methods composing tasks around pandas.DataFrames and Series. Either they are to specific (or I didn’t found them).

Installation

Install the latest release from pip.

$ pip install trashpanda

API reference

DataFrame & Series related functions

trashpanda.add_blank_rows()	Adds blank rows into a Series or DataFrame with numpy.nan by default.
trashpanda.get_intersection()	Intersects Series or DataFrame by requested indexes.
trashpanda.get_unique_index_positions()	Determines positions of unique indexes from a Series or DataFrame.
trashpanda.cut_after()	Cuts a dataframe dropping the part after the cutting index.
trashpanda.cut_before(source_to_cut, ...)	Cuts a dataframe dropping the part after the cutting index.
trashpanda.meld_along_columns(left, right[, ...])	Melds two DataFrames of Series into a single DataFrame with a common index.
trashpanda.remove_duplicated_indexes()	Removes rows of duplicated indexes from a DataFrame.

Series related functions

trashpanda.add_missing_indexes_to_series(...)	Adds different (missing) indexes to series.
trashpanda.cut_series_after_max(series_to_cut)	Cuts a Series after its maximum value.
trashpanda.find_consecutive_value_blocks_in_series(source)	Creates a MultiIndex for consecutive values within a Series.
trashpanda.find_index_of_value_in_series(...)	Finds the index of an value within a Series.
trashpanda.keep_consecutive_values_of_series(source)	Keeps consecutive values of a Series.
trashpanda.override_left_with_right_series(...)	Overrides overlapping items of left with right.

DataFrame related functions

trashpanda.add_columns_to_dataframe(...[, ...])	Adds columns to a dataframe.
trashpanda.cut_dataframe_after_max(frame_to_cut)	Cuts a DataFrame after the maximum value of its condition column.
trashpanda.override_left_with_right_dataframe(...)	Overrides overlapping items of left with right.

Indices and tables

• Index