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Patch-1: Correção da chamada da função replace na função overdisp #1

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Patch-1: Correção da chamada da função replace na função overdisp #1

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72f6afc
Correção de erro ao chamar função replace para renomear as colunas do…
renartius Feb 20, 2024
6beeac8
Inclusão de teste (pytest) para validar alteração
renartius Feb 20, 2024
b7907f9
Update test.py
renartius Sep 22, 2024
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14 changes: 14 additions & 0 deletions statstests/pytests/test.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,14 @@
import pytest
import pandas as pd

def test_replace():
"""
Test to validate changes
"""
df = pd.DataFrame({'[col.1]': [1, 2], '[col.2]': [3, 4]})
df.columns = df.columns.str.replace('\[', '', regex=True)
df.columns = df.columns.str.replace('\.', '_', regex=True)
df.columns = df.columns.str.replace('\]', '', regex=True)

df_expected = pd.DataFrame({'col_1': [1, 2], 'col_2': [3, 4]})
assert df.columns.all() == df_expected.columns.all()
6 changes: 3 additions & 3 deletions statstests/tests.py
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Original file line number Diff line number Diff line change
Expand Up @@ -123,9 +123,9 @@ def overdisp(model, data):
model.model.data.orig_exog], axis=1)

# adjust column names with special characters from categorical columns
df.columns = df.columns.str.replace('[', '', regex=True)
df.columns = df.columns.str.replace('.', '_', regex=True)
df.columns = df.columns.str.replace(']', '', regex=True)
df.columns = df.columns.str.replace('\[', '', regex=True)
df.columns = df.columns.str.replace('\.', '_', regex=True)
df.columns = df.columns.str.replace('\]', '', regex=True)

# adjust formula with special characters from categorical columns
formula = formula.replace("[", "")
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