io module¶

`duplicate_files`([source, glob_pattern, …])	select files that have the same file size.
`list_files`([source, glob_pattern, recurse, …])	return a list of files.
`to_csv`(df, args, *kwargs)	to CSV
`to_excel`(df[, file_name])	to excel
`to_parquet`(df, args, *kwargs)	to parquet
`to_tsv`(df, file_name[, sep])	to TSV
`read_csv`(file_name[, sep, strip_blanks, …])	pd.read_csv wrapper function
`read_csvs`([source, glob_pattern, sep, …])	pd.read_csv wrapper function
`read_excel_sheets`([filename, sheets, …])	For given Excel file name, return all or selected (list of) sheets as a consolidated pandas DataFrame
`read_excels`([source, glob_pattern, func, …])	Read, concatenate, combine and return a pandas dataframe based on workbook(s) data within a given source folder.
`read_sql`(sql[, con, sql_info, trim_blanks, …])	Custom pandas pd.read_sql wrapper function
`read_text`(file_name[, count])	read and return text/string data from a text file
`write_text`(file_name, text)	write text/string data to text file
`zip_data`([source, filter, target, …])	Compress files from source to target folder