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Add tests for mplot_dataframe_utils (for #88) #90

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merged 5 commits into from
Dec 15, 2023
Merged

Add tests for mplot_dataframe_utils (for #88) #90

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62e3b19
Troubleshooting workflow error (#87)
LSYS Dec 15, 2023
9a79b54
Add branch to workflow (#88)
LSYS Dec 15, 2023
8f504af
Testing make_multimodel_tableheaders (#88)
LSYS Dec 15, 2023
79e83fc
Add test_make_multimodel_tableheaders (#88)
LSYS Dec 15, 2023
9fd352f
Pleasing linters (#88)
LSYS Dec 15, 2023
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2 changes: 1 addition & 1 deletion .github/workflows/CI.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@ name: CI

on:
push:
branches: [ "main", "docs", "patch", "feature", "mplot" ]
branches: [ "main", "docs", "patch", "feature", "mplot", "mplot-dev" ]
pull_request:
branches: [ "main" ]

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11 changes: 6 additions & 5 deletions tests/test_mplot_dataframe_utils.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
import numpy as np
import pandas as pd
from pandas.testing import assert_frame_equal

from forestplot.mplot_dataframe_utils import (
_insert_headers_models,
Expand Down Expand Up @@ -48,7 +49,7 @@ def test_insert_group_model():
result_df = insert_group_model(df, "groupvar", "varlabel", "model_col")

# Assert
pd.testing.assert_frame_equal(result_df, expected_df)
assert_frame_equal(result_df, expected_df)


def test_insert_headers_models():
Expand All @@ -72,9 +73,7 @@ def test_insert_headers_models():
result = _insert_headers_models(df, "model_col", None)

# Verify
pd.testing.assert_frame_equal(
result.reset_index(drop=True), expected_output.reset_index(drop=True)
)
assert_frame_equal(result.reset_index(drop=True), expected_output.reset_index(drop=True))


def test_make_multimodel_tableheaders():
Expand Down Expand Up @@ -205,4 +204,6 @@ def test_make_multimodel_tableheaders():
right_annoteheaders=None,
)
# Verify
pd.testing.assert_frame_equal(df_result, df_expected)
assert_frame_equal(df_result.iloc[:, :4], df_expected.iloc[:, :4])
assert pd.notna(df_result.loc[0, "yticklabel"])
assert pd.notna(df_result.loc[0, "yticklabel2"])
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