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https://github.com/ion-elgreco/polars-hash

Polars plugin for stable hashing functionality
https://github.com/ion-elgreco/polars-hash

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Polars plugin for stable hashing functionality

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README

        

This plugin provides stable hashing functionality across different polars versions.

## Examples
### Cryptographic Hashers

```python
import polars
import polars_hash as plh

df = pl.DataFrame({
"foo":["hello_world"]
})

result = df.select(plh.col('foo').chash.sha256())

print(result)

┌──────────────────────────────────────────────────────────────────┐
│ foo │
│ --- │
│ str │
╞══════════════════════════════════════════════════════════════════╡
│ 35072c1ae546350e0bfa7ab11d49dc6f129e72ccd57ec7eb671225bbd197c8f1 │
└──────────────────────────────────────────────────────────────────┘
```

### Non-cryptographic Hashers
```python
df = pl.DataFrame({
"foo":["hello_world"]
})

result = df.select(plh.col('foo').nchash.wyhash())
print(result)
┌──────────────────────┐
│ foo │
│ --- │
│ u64 │
╞══════════════════════╡
│ 16737367591072095403 │
└──────────────────────┘

```

### Geo Hashers
```python
df = pl.DataFrame(
{"coord": [{"longitude": -120.6623, "latitude": 35.3003}]},
schema={
"coord": pl.Struct(
[pl.Field("longitude", pl.Float64), pl.Field("latitude", pl.Float64)]
),
},
)

df.with_columns(
plh.col('coord').geohash.from_coords().alias('geohash')
)
shape: (1, 2)
┌─────────────────────┬────────────┐
│ coord ┆ geohash │
│ --- ┆ --- │
│ struct[2] ┆ str │
╞═════════════════════╪════════════╡
│ {-120.6623,35.3003} ┆ 9q60y60rhs │
└─────────────────────┴────────────┘

pl.select(pl.lit('9q60y60rhs').geohash.to_coords().alias('coordinates'))
shape: (1, 1)
┌───────────────────────┐
│ coordinates │
│ --- │
│ struct[2] │
╞═══════════════════════╡
│ {-120.6623,35.300298} │
└───────────────────────┘
```

### H3 Spatial Index
```python
df = pl.DataFrame(
{"coord": [{"longitude": -120.6623, "latitude": 35.3003}]},
schema={
"coord": pl.Struct(
[pl.Field("longitude", pl.Float64), pl.Field("latitude", pl.Float64)]
),
},
)

df.with_columns(
plh.col('coord').h3.from_coords().alias('h3')
)
shape: (1, 2)
┌─────────────────────┬─────────────────┐
│ coord ┆ h3 │
│ --- ┆ --- │
│ struct[2] ┆ str │
╞═════════════════════╪═════════════════╡
│ {-120.6623,35.3003} ┆ 8c29adc423821ff │
└─────────────────────┴─────────────────┘
```

## Create hash from multiple columns
```python
df = pl.DataFrame({
"foo":["hello_world"],
"bar": ["today"]
})

result = df.select(plh.concat_str('foo','bar').chash.sha256())
```