Extension for `pandas` to use `rapidfuzz` for fuzzy matching.
Project description
pandas-fuzz
Extension for pandas
to use rapidfuzz
for fuzzy matching.
Requirements
- Python 3.9 or later
- On Windows the Visual C++ 2019 redistributable is required
Installation
pip install pandas_fuzz
Usage
To register the extension make sure to import pandas_fuzz
before using it`.
import pandas as pd
import pandas_fuzz
Alternatively, you can import pandas
from pandas_fuzz
directly.
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
.
>>> 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
>>> 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
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