pandas_profiling.utils.dataframe

Utils for pandas DataFrames.

Functions

expand_mixed(df[, types])	Expand non-nested lists, dicts and tuples in a DataFrame into columns with a prefix.
hash_dataframe(df)	Hash a DataFrame (wrapper around joblib.hash, might change in the future)
is_supported_compression(file_extension)	Determine if the given file extension indicates a compression format that pandas can handle automatically.
read_pandas(file_name)	Read DataFrame based on the file extension.
remove_suffix(text, suffix)	Removes the given suffix from the given string.
rename_index(df)	If the DataFrame contains a column or index named index, this will produce errors.
slugify(value[, allow_unicode])	Taken from https://github.com/django/django/blob/master/django/utils/text.py Convert to ASCII if 'allow_unicode' is False.
sort_column_names(dct, sort)	rtype dict
uncompressed_extension(file_name)	Returns the uncompressed extension of the given file name.
warn_read(extension)	Warn the user when an extension is not supported.