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Is your feature request related to a problem? Please describe.
I need to call a 3rd party library by passing a large pandas dataframe. I also need to validate the dataframe before passing that across. The 3rd party library provides JSON schema for the dataframe. My current validation gets slow as the dataframe gets bigger. Switching to pandera is an option but I need to convert JSON schema to pandera specific yaml schema. This is a bit clumsy, error prone and not future proof.
Describe the solution you'd like
Pandera to support JSON schema. Instead of all users convert existing JSON into specific format, it would be very practical for pandera library to do this. So, something like this:
schema = pandera.from_json(json_schema_filename)
Describe alternatives you've considered
Alternative is to convert from JSON to pandera specific format manually, which is clumsy, prone to error and not future proof.
Additional context
None
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
I need to call a 3rd party library by passing a large pandas dataframe. I also need to validate the dataframe before passing that across. The 3rd party library provides JSON schema for the dataframe. My current validation gets slow as the dataframe gets bigger. Switching to pandera is an option but I need to convert JSON schema to pandera specific yaml schema. This is a bit clumsy, error prone and not future proof.
Describe the solution you'd like
Pandera to support JSON schema. Instead of all users convert existing JSON into specific format, it would be very practical for pandera library to do this. So, something like this:
schema = pandera.from_json(json_schema_filename)
Describe alternatives you've considered
Alternative is to convert from JSON to pandera specific format manually, which is clumsy, prone to error and not future proof.
Additional context
None
The text was updated successfully, but these errors were encountered: