| Name | pandas-fuzz JSON |
| Version |
0.1.4
JSON |
| download |
| home_page | None |
| Summary | Extension for `pandas` to use `rapidfuzz` for fuzzy matching. |
| upload_time | 2024-11-02 16:00:13 |
| maintainer | None |
| docs_url | None |
| author | Christoph Dörrer |
| requires_python | <4.0,>=3.9 |
| license | MIT |
| keywords |
pandas
rapidfuzz
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
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|
# pandas-fuzz
[](https://pypi.org/project/pandas_fuzz/)
[](https://pypi.org/project/pandas_fuzz/)
[](https://pypi.org/project/pandas_fuzz/)
[](https://raw.githubusercontent.com/d-chris/pandas_fuzz/main/LICENSE)
[](https://github.com/d-chris/pandas_fuzz/actions/workflows/pytest.yml)
[](https://d-chris.github.io/pandas_fuzz)
[](https://github.com/d-chris/pandas_fuzz)
[](https://codecov.io/gh/d-chris/pandas_fuzz)
[](https://github.com/pre-commit/pre-commit)
---
Extension for `pandas` to use `rapidfuzz` for fuzzy matching.
## Requirements
- Python 3.9 or later
- On Windows the [Visual C++ 2019 redistributable](https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads) is required
## Installation
```bash
pip install pandas_fuzz
```
## Usage
To register the extension make sure to import `pandas_fuzz` before using it`.
```python
import pandas as pd
import pandas_fuzz
```
Alternatively, you can import `pandas` from `pandas_fuzz` directly.
```python
from pandas_fuzz import pandas as pd
```
## rapidfuzz.fuzz
`pandas_fuzz` integrates the following functions from `rapidfuzz.fuzz` into `pandas`. These functions are available in the `fuzz` namespace for both `pandas.Series` and `pandas.DataFrame`.
- `rapidfuzz.fuzz.ratio`
- `rapidfuzz.fuzz.partial_ratio`
- `rapidfuzz.fuzz.partial_ratio_alignment`
- `rapidfuzz.fuzz.token_sort_ratio`
- `rapidfuzz.fuzz.token_set_ratio`
- `rapidfuzz.fuzz.token_ratio`
- `rapidfuzz.fuzz.partial_token_sort_ratio`
- `rapidfuzz.fuzz.partial_token_set_ratio`
- `rapidfuzz.fuzz.partial_token_ratio`
- `rapidfuzz.fuzz.WRatio`
- `rapidfuzz.fuzz.QRatio`
## pandas.Series
apply `fuzz.ratio` element wise to `pd.Series`.
```python
>>> pd.Series(["this is a test", "this is a test!"]).fuzz.ratio("this is a test!")
0 96.551724
1 100.000000
dtype: float64
```
## pandas.DataFrame
apply `fuzz.ratio` row wise to columns `s1` and `s2`
```python
>>> pd.DataFrame({
"s1": ["this is a test", "this is a test!"],
"s2": ["this is a test", "this is a test!"]
}).fuzz.ratio("s1", "s2")
0 100.0
1 100.0
dtype: float64
```
## Dependencies
[](https://pypi.org/project/pandas/)
[](https://pypi.org/project/rapidfuzz/)
---
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"description": "# pandas-fuzz\n\n[](https://pypi.org/project/pandas_fuzz/)\n[](https://pypi.org/project/pandas_fuzz/)\n[](https://pypi.org/project/pandas_fuzz/)\n[](https://raw.githubusercontent.com/d-chris/pandas_fuzz/main/LICENSE)\n[](https://github.com/d-chris/pandas_fuzz/actions/workflows/pytest.yml)\n[](https://d-chris.github.io/pandas_fuzz)\n[](https://github.com/d-chris/pandas_fuzz)\n[](https://codecov.io/gh/d-chris/pandas_fuzz)\n[](https://github.com/pre-commit/pre-commit)\n\n---\n\nExtension for `pandas` to use `rapidfuzz` for fuzzy matching.\n\n## Requirements\n\n- Python 3.9 or later\n- On Windows the [Visual C++ 2019 redistributable](https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads) is required\n\n## Installation\n\n```bash\npip install pandas_fuzz\n```\n\n## Usage\n\nTo register the extension make sure to import `pandas_fuzz` before using it`.\n\n```python\nimport pandas as pd\nimport pandas_fuzz\n```\n\nAlternatively, you can import `pandas` from `pandas_fuzz` directly.\n\n```python\nfrom pandas_fuzz import pandas as pd\n```\n\n## rapidfuzz.fuzz\n\n`pandas_fuzz` integrates the following functions from `rapidfuzz.fuzz` into `pandas`. These functions are available in the `fuzz` namespace for both `pandas.Series` and `pandas.DataFrame`.\n\n- `rapidfuzz.fuzz.ratio`\n- `rapidfuzz.fuzz.partial_ratio`\n- `rapidfuzz.fuzz.partial_ratio_alignment`\n- `rapidfuzz.fuzz.token_sort_ratio`\n- `rapidfuzz.fuzz.token_set_ratio`\n- `rapidfuzz.fuzz.token_ratio`\n- `rapidfuzz.fuzz.partial_token_sort_ratio`\n- `rapidfuzz.fuzz.partial_token_set_ratio`\n- `rapidfuzz.fuzz.partial_token_ratio`\n- `rapidfuzz.fuzz.WRatio`\n- `rapidfuzz.fuzz.QRatio`\n\n## pandas.Series\n\napply `fuzz.ratio` element wise to `pd.Series`.\n\n```python\n>>> pd.Series([\"this is a test\", \"this is a test!\"]).fuzz.ratio(\"this is a test!\")\n0 96.551724\n1 100.000000\ndtype: float64\n```\n\n## pandas.DataFrame\n\napply `fuzz.ratio` row wise to columns `s1` and `s2`\n\n```python\n>>> pd.DataFrame({\n \"s1\": [\"this is a test\", \"this is a test!\"],\n \"s2\": [\"this is a test\", \"this is a test!\"]\n}).fuzz.ratio(\"s1\", \"s2\")\n0 100.0\n1 100.0\ndtype: float64\n```\n\n## Dependencies\n\n[](https://pypi.org/project/pandas/)\n[](https://pypi.org/project/rapidfuzz/)\n\n---\n",
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