caf.toolkit.pandas_utils.df_handling

Helper functions for handling pandas DataFrames.

Functions

chunk_df(df, chunk_size)	Split a dataframe into chunks, usually for multiprocessing.
filter_df(df, df_filter[, throw_error])	Filter a pandas DataFrame by a filter.
filter_df_mask(df, df_filter)	Generate a mask for filtering a pandas DataFrame by a filter.
get_full_index(dimension_cols)	Create a pandas Index from a mapping of {col_name: col_values}.
long_df_to_wide_ndarray(*args, **kwargs)	Convert a DataFrame from long to wide format, infilling missing values.
long_product_infill()	Infill columns with a complete product of one another.
long_to_wide_infill(matrix, *[, infill, ...])	Convert a DataFrame from long to wide format, infilling missing values.
overload(func)	Decorator for overloaded functions/methods.
reindex_and_groupby_sum(df, index_cols, ...)	Reindexes and groups a pandas DataFrame.
reindex_cols(df, columns[, throw_error, ...])	Reindexes a pandas DataFrame.
reindex_rows_and_cols(df, index, columns[, ...])	Reindex a pandas DataFrame, making sure index/col types don't clash.
str_join_cols(df, columns[, separator])	Equivalent to separator.join(columns) for all rows of pandas DataFrame.
wide_to_long_infill(df[, out_name, ...])	Convert a matrix from wide to long format, infilling missing values.

Classes

Any(*args, **kwargs)	Special type indicating an unconstrained type.
ChunkDf(df, chunk_size)	Generator to split a dataframe into chunks.
Hashable()