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The `SchemaModel.validate` arguments `sample`, `head`, and `tail` only work with hashable column types. Sometimes it's desirable to put unhashable types (like `numpy.ndarray`) into the columns of a Da…
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#### Using regex for column names in SchemaModel
Is it possible to write a `SchemaModel` class in which the column names follow a regex pattern, e.g., `^[0-9]+$` for 0, 1, 2, 3, 4, etc?
If not,…
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**Is your feature request related to a problem? Please describe.**
I'd like to include pandera *SchemaModel*s as a type within a [*pydantic*](https://pydantic-docs.helpmanual.io/usage/models/) model.…
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`SchemaModel` does not support annotations without a data type, which is supported by `DataFrameSchema`.
- [x] I have checked that this issue has not already been reported.
- [x] I have confirmed …
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**Describe the bug**
A clear and concise description of what the bug is.
`P.STRING` fails validation / coercion when using `pandera[modin-ray]`.
- [x] I have checked that this issue has not al…
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**Describe the bug**
When field is set as nullable, calling `example()` is more than ten times slower. I believe there is no reason for this.
- [x] I have checked that this issue has not already b…
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#### Question about pandera
Hi there, Thanks for the package. Love what you are doing with this project. I'm posing this as a question because I am unsure if this is a bug, an implemenatation error o…
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#### Question about pandera
Defining a schema as:
```python
import pandas as pd
import pandera
from pandera.typing import DataFrame, Index, Series
class ForecastSchema(pandera.SchemaModel)…
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Usually, I write code like this:
```python
df1 = pd.read_csv(...)
df2 = pd.read_csv(...)
df = df1.join(df2)
df.groupby(["a", "b"]).agg({
"c": ["min", "max"],
"d": ["mean"],
})
```
an…
Hoeze updated
2 years ago
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**Describe the bug**
As in the described in the title, the example code below will throw exception while I believe it should not.
- [x] I have checked that this issue has not already been reported…