15 lines
607 B
Plaintext
15 lines
607 B
Plaintext
pandas data structures contain information that pandera
|
|
explicitly validates at runtime. This is useful in
|
|
production-critical or reproducible research settings.
|
|
With pandera, you can:
|
|
|
|
Check the types and properties of columns in a DataFrame
|
|
or values in a Series.
|
|
Perform more complex statistical validation like hypothesis testing.
|
|
Seamlessly integrate with existing data analysis/processing
|
|
pipelines via function decorators.
|
|
|
|
pandera provides a flexible and expressive API for performing
|
|
data validation on tidy (long-form) and wide data to make
|
|
data processing pipelines more readable and robust
|