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frictionlessdata
Data management framework for Python that provides functionality to describe, extract, validate, and transform tabular data
# Overview Adding `skip_errors` to the `validate()` function has a dramatic impact in the performance of the function: The following is an output on some data I'm working on and...
### **Problem**: While using Frictionless to validate data, foreign key-related errors are not being displayed when the `cell_convert` transformation is applied to specific fields. While other foreign key validation errors...
Hi, I have a schema that contains a field 'date' which also specifies an ISO 8601 date format: ``` { "fields": [ { "name": "date", "type": "date", "description": "Week in...
Using the `frictionless validate --parallel` flag at the command line or `validate(parallel = True)` in the python code does not seem to trigger any parallel treatment. Performance of the validation...
With a schema specifying an enum constraint on a field of type array, the enum constraints does not validate the array items but the whole array value. # Expected behavior...
# Overview I'm running an example on the tutorial pages and not getting expected output. In the tutorial on this page (https://framework.frictionlessdata.io/docs/basic-examples.html) I do not get the `foreignKeys` section. Is...
I am working with multiple sets of CSV files, each requiring validation against a predefined JSON schema. Currently, I can only validate one set of files at a time by...
There should be a format option for writing a field with type `yearmonth` differently. In German it is common to write month and year as `MM.YYYY`. Therefore, it would be...
We are using Frictionless to process CSV files, and we encountered an issue where certain fields with numeric-like values containing hyphens (e.g., 96777-8) are incorrectly split into arrays when converted...
We integrated Frictionless for validating CSV files, and we are receiving validation responses as expected. However, we need to retrieve the original processed data in JSON format, parsed directly from...
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Data management framework for Python that provides functionality to describe, extract, validate, and transform tabular data