piper.io.read_csvs¶
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piper.io.read_csvs(source='inputs/', glob_pattern='*.csv', sep=',', strip_blanks=True, clean_cols=True, encoding='latin-1', include_file=False, info=False)[source]¶ pd.read_csv wrapper function
- Parameters
source – source folder containing csv text files (that is, files ending with ‘*.csv’)
glob_pattern – global pattern for file selection
sep – Column separator
strip_blanks – Default True If True, strip all column (row) values of leading and trailing blanks
clean_cols – default True. Lowercase column names, replace spaces with underscore (‘_’)
encoding – default ‘latin-1’
include_file – include filename in returned dataframe - default False
info – if True, display additional logging information
- Returns
- Return type
pandas dataframe