Stable non-cryptographic and cryptographic hashing functions for Polars
Project description
This plugin provides stable hashing functionality across different polars versions.
Examples
Cryptographic Hashers
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
df = pl.DataFrame({
"foo":["hello_world"]
})
result = df.select(plh.col('foo').nchash.wyhash())
print(result)
┌──────────────────────┐
│ foo │
│ --- │
│ u64 │
╞══════════════════════╡
│ 16737367591072095403 │
└──────────────────────┘
Geo Hashers
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} │
└───────────────────────┘
Create hash from multiple columns
df = pl.DataFrame({
"foo":["hello_world"],
"bar": ["today"]
})
result = df.select(plh.concat_str('foo','bar').chash.sha256())
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- Download URL: polars_hash-0.5.0.tar.gz
- Upload date:
- Size: 30.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.7.4
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File details
Details for the file polars_hash-0.5.0-cp38-abi3-win_amd64.whl.
File metadata
- Download URL: polars_hash-0.5.0-cp38-abi3-win_amd64.whl
- Upload date:
- Size: 3.7 MB
- Tags: CPython 3.8+, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a2d10c4ac757d48df6e6cdeca4cd3e0aaace19ad6b3e82409c337ad1709137a2 |
|
| MD5 | c1e03e60f779b35febb65e479b20da6a |
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File details
Details for the file polars_hash-0.5.0-cp38-abi3-win32.whl.
File metadata
- Download URL: polars_hash-0.5.0-cp38-abi3-win32.whl
- Upload date:
- Size: 3.4 MB
- Tags: CPython 3.8+, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6e5be1c47c90c28220b9ee380ae4be7343a19edb5a00bd22fd9ac11a1e4e3ca2 |
|
| MD5 | 3eb2d15f04e305007f47185ecdfa1382 |
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File details
Details for the file polars_hash-0.5.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
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- Download URL: polars_hash-0.5.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 4.5 MB
- Tags: CPython 3.8+, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6c46a18950a3eee3ead5073a6e7728f7641762d49bf6e70eb5d690e9c1815fe4 |
|
| MD5 | 2f40389c924894724d79f7207dfdacce |
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File details
Details for the file polars_hash-0.5.0-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.
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- Download URL: polars_hash-0.5.0-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
- Upload date:
- Size: 4.5 MB
- Tags: CPython 3.8+, manylinux: glibc 2.17+ ppc64le
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9407fc0c42b881ade1591c14b041d6f3213535aaaa6e2df39811a894e8550d47 |
|
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File details
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File metadata
- Download URL: polars_hash-0.5.0-cp38-abi3-manylinux_2_17_i686.manylinux2014_i686.whl
- Upload date:
- Size: 4.7 MB
- Tags: CPython 3.8+, manylinux: glibc 2.17+ i686
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c488268b05267da90212ca6a3c89dab11e0ba8c4332fbf6d9586fc9d5de7c6f0 |
|
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File details
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File metadata
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- Upload date:
- Size: 4.2 MB
- Tags: CPython 3.8+, manylinux: glibc 2.17+ ARMv7l
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cdf2af9e1aa0bbfd3833fba8c452bb36e504cff65415501b7d8950172d4222ba |
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File details
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File metadata
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- Upload date:
- Size: 4.0 MB
- Tags: CPython 3.8+, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fa294e8328ab508a342e6c9cdd5a187e9fec851f9ebf8a4d8c18cdc5490c57b7 |
|
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File details
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- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.7.4
File hashes
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|---|---|---|
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- Tags: CPython 3.8+, macOS 10.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: maturin/1.7.4
File hashes
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|---|---|---|
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