Closed peterk87 closed 4 years ago
This PR fixes issue #112 (also adds test for metadata merging of "#N/A" subtype value)
Metadata NA value can be any of the following values and will be automatically converted by Pandas into a Pandas NaN value:
‘’, ‘#N/A’, ‘#N/A N/A’, ‘#NA’, ‘-1.#IND’, ‘-1.#QNAN’, ‘-NaN’, ‘-nan’, ‘1.#IND’, ‘1.#QNAN’, ‘N/A’, ‘NA’, ‘NULL’, ‘NaN’, ‘n/a’, ‘nan’, ‘null’.
See pandas.read_table na_values argument
na_values
This PR fixes issue #112 (also adds test for metadata merging of "#N/A" subtype value)
Metadata NA value can be any of the following values and will be automatically converted by Pandas into a Pandas NaN value:
See pandas.read_table
na_values
argument