Spaces:
Sleeping
Sleeping
Upload folder using huggingface_hub
Browse files
app.py
CHANGED
|
@@ -79,6 +79,17 @@ df['Name'] = df['address'].apply(lambda x : address_map[x])
|
|
| 79 |
df = df[['Name'] + [col for col in df.columns if col != 'Name']]
|
| 80 |
df = df.fillna(0)
|
| 81 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 82 |
numeric_cols = df.select_dtypes(include='number').columns
|
| 83 |
|
| 84 |
# Create the total row with summed values
|
|
|
|
| 79 |
df = df[['Name'] + [col for col in df.columns if col != 'Name']]
|
| 80 |
df = df.fillna(0)
|
| 81 |
|
| 82 |
+
priority_names = ['Taker 1', 'Taker 2']
|
| 83 |
+
|
| 84 |
+
df = df.sort_values(
|
| 85 |
+
by='Name',
|
| 86 |
+
key=lambda col: col.apply(
|
| 87 |
+
lambda x: (0, priority_names.index(x)) if x in priority_names else (1, x)
|
| 88 |
+
)
|
| 89 |
+
).reset_index(drop=True)
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
|
| 93 |
numeric_cols = df.select_dtypes(include='number').columns
|
| 94 |
|
| 95 |
# Create the total row with summed values
|