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Bump the python-minor-and-patch group across 1 directory with 6 updates #34

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Merged
github-actions merged 2 commits into from
Aug 15, 2026
Merged

Bump the python-minor-and-patch group across 1 directory with 6 updates #34

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e4575ab
Bump the python-minor-and-patch group across 1 directory with 6 updates
dependabot[bot] Aug 10, 2026
07217fd
Reformat the README examples for the new ruff
soodoku Aug 15, 2026
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14 changes: 7 additions & 7 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -91,11 +91,11 @@ import pandas as pd
from naampy import in_rolls_fn_gender, predict_fn_gender

# Create a DataFrame with names
names_df = pd.DataFrame({'name': ['Priyanka', 'Rahul', 'Anjali']})
names_df = pd.DataFrame({"name": ["Priyanka", "Rahul", "Anjali"]})

# Get gender predictions from electoral roll data
result = in_rolls_fn_gender(names_df, 'name')
print(result[['name', 'prop_female', 'prop_male']])
result = in_rolls_fn_gender(names_df, "name")
print(result[["name", "prop_female", "prop_male"]])
```

### Using the ML Model
Expand All @@ -104,7 +104,7 @@ For names not in the electoral roll database:

```python
# Use the neural network model for predictions
names = ['Aadhya', 'Reyansh', 'Kiara']
names = ["Aadhya", "Reyansh", "Kiara"]
predictions = predict_fn_gender(names)
print(predictions)
```
Expand All @@ -120,11 +120,11 @@ import pandas as pd
from naampy import in_rolls_fn_gender

# Sample data
names = [{'name': 'gaurav'}, {'name': 'yasmin'}, {'name': 'deepti'}]
names = [{"name": "gaurav"}, {"name": "yasmin"}, {"name": "deepti"}]
df = pd.DataFrame(names)

result = in_rolls_fn_gender(df, 'name')
print(result[['name', 'n_male', 'n_female', 'prop_female', 'prop_male']])
result = in_rolls_fn_gender(df, "name")
print(result[["name", "n_male", "n_female", "prop_female", "prop_male"]])
```

**Output:**
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