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```python
data = SchemaModel.dict()
imported = SchemaModel.parse_django(data)
```
The `parse_django` maybe would have a different name, but this is what I'm generally thinking for the API.
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#### Question about pandera
Is there a way to specify specify a brute force / naive coercion approach for a series to end up with vanilla dates (no tz info)?
I prefer to use the class based `pa.…
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Hi.
I have a very complicated schema represented in fbs files that works correctly when built with flatc. However, I get a Null Reference Exception when building with FlatSharp.Compiler.
The er…
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- Azure Data Studio Version: 1.32.0
- OS Version: Windows 10
Steps to Reproduce:
1. Created external data sources for reading parquet files in ADLS gen 2
2. Tried `create project fro…
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**Is your feature request related to a problem? Please describe.**
pandera is a great library, but it doesn't support pyspark DataFrame yet
**Describe the solution you'd like**
Schema model for p…
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**Describe the bug**
In a SchemaModel without a config class / coerce=False, a dtype mismatch will throw a validation error.
With coerce=True, no validation error is thrown, but the dtypes are not c…
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I would like to enter metadata in OpenMetadata for which currently no entity is defined, e.g.:
- Product information and/or product models
- Information models
- Thesauruses
- ...
A practical a…
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```python
class SampleSchemaModel(pa.SchemaModel):
foo: pa.typing.Series[int] = pa.Field()
SampleSchemaModel.to_schema().name # None
```
This seems unintuitive to me-- I'd expect the cla…
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**Is your feature request related to a problem? Please describe.**
I am experiencing heavy code duplication with model definitions in my code base. Currently this would be ORM (Sqlalchemy), Schema (P…
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Hi Team,
I'm using the Pandera Schema model to validate my file which as Integer column.
**My Schema Model**
class Retaildata(pa.SchemaModel):
orderid: Series[int] = pa.Field(coerce=True,nu…