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Update datetime detection after transformations #24

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Merged
NeurArk merged 1 commit into from
May 22, 2025
Merged

Update datetime detection after transformations #24

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1 change: 1 addition & 0 deletions pages/data_explorer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -321,6 +321,7 @@ def _corr(df):
st.error(f"Transformation error: {exc}")
else:
st.session_state["data"] = df_trans
st.session_state["datetime_cols"] = eda.detect_datetime_columns(df_trans)
data = df_trans
st.success("Transformations applied!")

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20 changes: 20 additions & 0 deletions tests/test_pages.py
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Expand Up @@ -111,3 +111,23 @@ def test_time_series_page_contents():
assert "time_series_plot" in content
assert "decomposition_plot" in content


def test_datetime_cols_persist_after_transforms():
import streamlit as st
from utils import transform, eda

df = pd.DataFrame(
{
"date": pd.date_range("2021-01-01", periods=3, freq="D"),
"value": [1.0, 2.0, 3.0],
}
)
st.session_state.clear()
st.session_state["data"] = df

df_trans = transform.scale_features(df.copy(), ["value"], method="standard")
st.session_state["data"] = df_trans
st.session_state["datetime_cols"] = eda.detect_datetime_columns(df_trans)

assert st.session_state["datetime_cols"] == ["date"]