update the first table
Browse files
main.py
CHANGED
@@ -476,23 +476,38 @@ new_dataset_comparison1 = pd.DataFrame(
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# Apply table styling: Light green for the header, alternating white and light grey for rows
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styled_table = (
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new_dataset_comparison1.style.set_properties(
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**{"background-color": "#E1EEDB"},
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subset=pd.IndexSlice[0
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)
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.apply(
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lambda x: [
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"background-color:
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else "background-color: rgb(237, 242, 251)" # Blue background for other rows
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for i in range(len(x))
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],
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axis=
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)
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.hide(axis="index")
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)
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# Use _repr_html_() method to get the HTML representation of the styled DataFrame
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table_html = styled_table._repr_html_()
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)
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# # Apply table styling: Light green for the header, alternating white and light grey for rows
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# styled_table = (
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# new_dataset_comparison1.style.set_properties(
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# **{"background-color": "#E1EEDB"},
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# subset=pd.IndexSlice[0, :], # Row 0 with a light green background
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# )
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# .apply(
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# lambda x: [
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# "background-color: #E1EEDB" # Green background for row 0
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# if i == 0
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# else "background-color: rgb(237, 242, 251)" # Blue background for other rows
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# for i in range(len(x))
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# ],
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# axis=0,
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# )
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# .hide(axis="index")
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# ) # Hide the row index
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styled_table = (
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new_dataset_comparison1.style.set_properties(
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**{"background-color": "#E1EEDB"}, # Set col 1 with a green background
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subset=pd.IndexSlice[:, 0], # Apply green to all rows of column 1
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)
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.apply(
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lambda x: [
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"background-color: white" # White background for other columns
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for _ in range(len(x))
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],
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axis=1,
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)
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.hide(axis="index") # Hide the row index
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)
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# Use _repr_html_() method to get the HTML representation of the styled DataFrame
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table_html = styled_table._repr_html_()
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