Pandas extension adding data dictionary accessor for describing and validating data.

import pandas as pd
from pandas_data_dictionary import pd_dd

All pandas data frames will now have an attached data dictionary accessible via the dd accessor.

Allowed values for each data frame column can be set including:

• minimum value: min_value
• maximum value: max_value
• minimum length: min_length
• maximum length: max_length
• categories: categories For example:

# set the minimum value for column1 to 10
df.dd.set_min_value('column1',10)

Use df.dd.validate_all() to check data in all columns is valid. If invalid data is found, validate_all will print those column names.

Use df.dd.validate('column') to validate a specific column. This will return a True/False series representing each data point in that column.

python setup.py install

• pandas
• numpy

MIT

pandas-data-dictionary was written by Tom Couch <[email protected]>_.