Spaces:
Running
Running
Update main.py
Browse files
main.py
CHANGED
|
@@ -289,11 +289,11 @@ dataset_comparison1 = pd.DataFrame(
|
|
| 289 |
|
| 290 |
# Apply table styling: Light green for the header, alternating white and light grey for rows
|
| 291 |
styled_table = dataset_comparison1.style.set_properties(
|
| 292 |
-
**{'background-color': '
|
| 293 |
).apply(
|
| 294 |
-
lambda x: ['background-color: white' if i % 2 == 0 else 'background-color: rgb(237, 242, 251)' for i in range(len(x))],
|
| 295 |
axis=0
|
| 296 |
-
)
|
| 297 |
|
| 298 |
# Use _repr_html_() method to get the HTML representation of the styled DataFrame
|
| 299 |
table_html = styled_table._repr_html_()
|
|
@@ -377,11 +377,11 @@ dataset_comparison2 = pd.DataFrame(
|
|
| 377 |
)
|
| 378 |
# Apply table styling: Light green for the header, alternating white and light grey for rows
|
| 379 |
styled_table = dataset_comparison2.style.set_properties(
|
| 380 |
-
|
| 381 |
).apply(
|
| 382 |
-
lambda x: ['background-color: white' if i % 2 == 0 else 'background-color: rgb(237, 242, 251)' for i in range(len(x))],
|
| 383 |
axis=0
|
| 384 |
-
)
|
| 385 |
|
| 386 |
# Use _repr_html_() method to get the HTML representation of the styled DataFrame
|
| 387 |
table_html2 = styled_table._repr_html_()
|
|
@@ -448,7 +448,8 @@ dataset_sources = pd.DataFrame(
|
|
| 448 |
styled_table = dataset_sources.style.apply(
|
| 449 |
lambda x: ['background-color: white' if i % 2 == 0 else 'background-color: rgb(237, 242, 251)' for i in range(len(x))],
|
| 450 |
axis=0
|
| 451 |
-
)
|
|
|
|
| 452 |
table_html_data = styled_table._repr_html_()
|
| 453 |
# table_html_data = dataset_sources.to_html(index=False, border=0)
|
| 454 |
table_div_data = Div(NotStr(table_html_data), style="margin: 40px;")
|
|
|
|
| 289 |
|
| 290 |
# Apply table styling: Light green for the header, alternating white and light grey for rows
|
| 291 |
styled_table = dataset_comparison1.style.set_properties(
|
| 292 |
+
**{'background-color': '#E1EEDB'}, subset=pd.IndexSlice[0,:] # Row 0 with a light yellow background
|
| 293 |
).apply(
|
| 294 |
+
lambda x: ['background-color: white' if i % 2 == 0 else 'background-color: rgb(237, 242, 251)' for i in range(1, len(x))],
|
| 295 |
axis=0
|
| 296 |
+
).hide(axis="index") # Hide the row index
|
| 297 |
|
| 298 |
# Use _repr_html_() method to get the HTML representation of the styled DataFrame
|
| 299 |
table_html = styled_table._repr_html_()
|
|
|
|
| 377 |
)
|
| 378 |
# Apply table styling: Light green for the header, alternating white and light grey for rows
|
| 379 |
styled_table = dataset_comparison2.style.set_properties(
|
| 380 |
+
**{'background-color': '#E1EEDB'}, subset=pd.IndexSlice[0,:] # Row 0 with a light yellow background
|
| 381 |
).apply(
|
| 382 |
+
lambda x: ['background-color: white' if i % 2 == 0 else 'background-color: rgb(237, 242, 251)' for i in range(1, len(x))],
|
| 383 |
axis=0
|
| 384 |
+
).hide(axis="index") # Hide the row index
|
| 385 |
|
| 386 |
# Use _repr_html_() method to get the HTML representation of the styled DataFrame
|
| 387 |
table_html2 = styled_table._repr_html_()
|
|
|
|
| 448 |
styled_table = dataset_sources.style.apply(
|
| 449 |
lambda x: ['background-color: white' if i % 2 == 0 else 'background-color: rgb(237, 242, 251)' for i in range(len(x))],
|
| 450 |
axis=0
|
| 451 |
+
).hide(axis="index") # Hide the row index
|
| 452 |
+
|
| 453 |
table_html_data = styled_table._repr_html_()
|
| 454 |
# table_html_data = dataset_sources.to_html(index=False, border=0)
|
| 455 |
table_div_data = Div(NotStr(table_html_data), style="margin: 40px;")
|