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- Azure Data Studio Version:
- Version: 1.26.0-insider (user setup)
Commit: bcae0d2b02533376cec694455977739c44bb1069
Date: 2021-01-13T06:37:13.136Z
VS Code: 1.48.0
Electron: 9.3.0
Ch…
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**Describe the bug**
When calling *validate* for a SchemaModel on a pandas's data frame with only 1 row, an AssertionError is raised. This appears to be triggered when coerce=True is includex in th…
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- [✅ ] I have checked that this issue has not already been reported.
- [ ✅] I have confirmed this bug exists on the latest version of pandera.
- [ ] (optional) I have confirmed this bug exists on th…
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** Which Category is your question related to? **
Datastore, API
** What AWS Services are you utilizing? **
AppSync, DynamoDB
** Provide additional details e.g. code snippets **
When attemp…
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**Describe the bug**
A clear and concise description of what the bug is.
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest v…
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Hi,
I just found pandera and I am *very* pleased with the pydantic style support for dataframes. However, one feature that is missing is [validators](https://pydantic-docs.helpmanual.io/usage/vali…
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**Describe the bug**
When using the @pa.dataframe_check for a custom *SchemaModel*, validation is not correctly performed on rows if their any of their columns contains NAs/None. These columns need n…
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Hi, below is a minimal example of the question / possible bug. Is it expected that after adding a `dataframe_check` in `SchemaWithDFCheck` that the schema no longer generates valid data according to t…
ghost updated
3 years ago
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#### Question about pandera
Through aliases and regex it is possible to check for an arbitrary number of column names whether they are valid. The column names are strings. In the below example all in…
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**Is your feature request related to a problem? Please describe.**
Currently, `pandera`'s type system is strongly coupled to the `pandas` type system. This works well in pandera's current state sin…