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Fix KeyError: 0 on pandas 3 by using .iloc for positional access #45

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Merged
carloscinelli merged 2 commits into from
Oct 18, 2026
Merged

Fix KeyError: 0 on pandas 3 by using .iloc for positional access #45

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4df584d
fix: use .iloc for positional Series access (pandas 3 compatibility)
1106maxi Sep 30, 2026
2a66d6f
Update .gitignore
1106maxi Sep 30, 2026
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27 changes: 26 additions & 1 deletion .gitignore
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Original file line number Diff line number Diff line change
@@ -1,4 +1,29 @@
.idea
# Python
__pycache__/
*.py[cod]

# Virtual environments
.venv/
venv/

# Packaging / build artifacts
*.egg-info/
build/
dist/

# Testing and coverage
.pytest_cache/
.coverage
.coverage.*
htmlcov/
coverage.xml

# Jupyter
.ipynb_checkpoints

# Editors / IDEs
.idea/
.vscode/

# Project specific
backup/
2 changes: 1 addition & 1 deletion sensemakr/sensitivity_plots.py
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Expand Up @@ -624,7 +624,7 @@ def extract_from_model(model, treatment, benchmark_covariates, kd, ky, r2dz_x, r
se = model_data['se']
dof = model_data['dof']
try:
estimate, se = float(estimate), float(se)
estimate, se = float(estimate.iloc[0]), float(se.iloc[0])
except:
sys.exit('Error: The estimated effect and standard error must be numeric.')

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2 changes: 1 addition & 1 deletion sensemakr/sensitivity_statistics.py
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Expand Up @@ -174,7 +174,7 @@ def partial_r2(model=None, covariates=None, t_statistic=None, dof=None):
model_data = model_helper(model, covariates=covariates)
t_statistic = model_data['t_statistics']
dof = model_data['dof']
return (t_statistic ** 2 / (t_statistic ** 2 + dof))[0] # extracts float
return (t_statistic ** 2 / (t_statistic ** 2 + dof)).iloc[0] # extracts float
else:
return t_statistic ** 2 / (t_statistic ** 2 + dof)

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