build(deps): bump pandera in /packages/grid_helpers_pkg

[dependabot]

Bumps pandera in /packages/grid_helpers_pkg from 0.22.1 to 0.31.1.

Updates pandera from 0.22.1 to 0.31.1

Release notes

Sourced from pandera's releases.

v0.31.1

What's Changed

• Fix pandera[polars] import without pandas by @​cosmicBboy in unionai-oss/pandera#2291

Full Changelog: unionai-oss/pandera@v0.31.0...v0.31.1

v0.31.0: Validate Xarray DataArray, Dataset, and DataTree

⭐️ Highlights

This is the release for all of you geospatial and multidimensional array-handling folks out there.

xarray support

Pandera now provides full support for xarray 🚀

Write a DatasetSchema with the object-based API

import numpy as np
import xarray as xr
import pandera.xarray as pa
schema = pa.DatasetSchema(
data_vars={
"temperature": pa.DataVar(dtype=np.float64, dims=("x", "y")),
"pressure": pa.DataVar(dtype=np.float64, dims=("x", "y")),
},
coords={"x": pa.Coordinate(dtype=np.float64)},
)
ds = xr.Dataset(
{
"temperature": (("x", "y"), np.random.rand(3, 4)),
"pressure": (("x", "y"), np.random.rand(3, 4)),
},
coords={"x": np.arange(3, dtype=np.float64)},
)
schema.validate(ds)

Or a DatasetModel with the class-based API:

from pandera.typing.xarray import Coordinate
class Surface(pa.DatasetModel):
temperature: np.float64 = pa.Field(dims=("x", "y"))
pressure: np.float64 = pa.Field(dims=("x", "y"))
x: Coordinate[np.float64]
</tr></table>

... (truncated)

Commits

• df7cb7d Fix pandera[polars] import without pandas (#2291)
• 1921c1d Rename test functions for clarity
• 0502361 test(pyspark): add str_length regressions for issues #1311 and #1314
• 7773eb8 fix: support Spark Connect DataFrame in cache_check_obj decorator
• 52f9805 tests(mypy): add polars Column Decimal/Struct typing regression
• e61e02c fix(geopandas): re-export errors in module all
• 3d95fc1 fix(pandas): export errors in pandera.pandas public API
• 1370d6d docs: fix xarray guide link in banner
• 356f1a6 docs: update xarray integration info for v0.31.0
• 99fbb48 fix(pandas): remove deprecated applymap from parser backend (#2281)
• Additional commits viewable in compare view

Updates pandera from 0.22.1 to 0.31.1

Release notes

Sourced from pandera's releases.

v0.31.1

What's Changed

• Fix pandera[polars] import without pandas by @​cosmicBboy in unionai-oss/pandera#2291

Full Changelog: unionai-oss/pandera@v0.31.0...v0.31.1

v0.31.0: Validate Xarray DataArray, Dataset, and DataTree

⭐️ Highlights

This is the release for all of you geospatial and multidimensional array-handling folks out there.

xarray support

Pandera now provides full support for xarray 🚀

Write a DatasetSchema with the object-based API

import numpy as np
import xarray as xr
import pandera.xarray as pa
schema = pa.DatasetSchema(
data_vars={
"temperature": pa.DataVar(dtype=np.float64, dims=("x", "y")),
"pressure": pa.DataVar(dtype=np.float64, dims=("x", "y")),
},
coords={"x": pa.Coordinate(dtype=np.float64)},
)
ds = xr.Dataset(
{
"temperature": (("x", "y"), np.random.rand(3, 4)),
"pressure": (("x", "y"), np.random.rand(3, 4)),
},
coords={"x": np.arange(3, dtype=np.float64)},
)
schema.validate(ds)

Or a DatasetModel with the class-based API:

from pandera.typing.xarray import Coordinate
class Surface(pa.DatasetModel):
temperature: np.float64 = pa.Field(dims=("x", "y"))
pressure: np.float64 = pa.Field(dims=("x", "y"))
x: Coordinate[np.float64]
</tr></table>

... (truncated)

Commits

• df7cb7d Fix pandera[polars] import without pandas (#2291)
• 1921c1d Rename test functions for clarity
• 0502361 test(pyspark): add str_length regressions for issues #1311 and #1314
• 7773eb8 fix: support Spark Connect DataFrame in cache_check_obj decorator
• 52f9805 tests(mypy): add polars Column Decimal/Struct typing regression
• e61e02c fix(geopandas): re-export errors in module all
• 3d95fc1 fix(pandas): export errors in pandera.pandas public API
• 1370d6d docs: fix xarray guide link in banner
• 356f1a6 docs: update xarray integration info for v0.31.0
• 99fbb48 fix(pandas): remove deprecated applymap from parser backend (#2281)
• Additional commits viewable in compare view

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