lyse.dataframe_utilities

Functions

asdatetime(timestr)
concat_with_padding(*dataframes)	Concatenates dataframes with MultiIndex column labels, padding shallower hierarchies such that the MultiIndexes have the same nlevels.
flat_dict_to_flat_series(dictionary)
flat_dict_to_hierarchical_dataframe(dictionary)	Make all the keys tuples of the same length
flatten_dict(dictionary[, keys])	Takes a nested dictionary whose keys are strings, and returns a flat dictionary whose keys are tuples of strings, each element of which is the key for one level of the hierarchy.
get_dataframe_from_shot(filepath)
get_dataframe_from_shots(filepaths)
get_nested_dict_from_shot(filepath)
get_series_from_shot(filepath)
pad_columns(df, n)	Add depth to hiererchical column labels with empty strings
replace_with_padding(df, row, index)