Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -26,6 +26,10 @@ def load_data(url):
|
|
26 |
right_on="school_id_giga",
|
27 |
how="inner"
|
28 |
)
|
|
|
|
|
|
|
|
|
29 |
return merged_data
|
30 |
|
31 |
# Perform clustering to find data center location
|
@@ -40,10 +44,11 @@ def plot_map(df, center):
|
|
40 |
|
41 |
# Add school locations
|
42 |
for idx, row in df.iterrows():
|
|
|
43 |
folium.Marker(
|
44 |
location=[row["latitude"], row["longitude"]],
|
45 |
popup=(
|
46 |
-
f"School Name: {row['school_name']}<br>"
|
47 |
f"Download Speed: {row['download_speed']} Mbps<br>"
|
48 |
f"Upload Speed: {row['upload_speed']} Mbps<br>"
|
49 |
f"Latency: {row['latency']} ms"
|
|
|
26 |
right_on="school_id_giga",
|
27 |
how="inner"
|
28 |
)
|
29 |
+
|
30 |
+
# Print columns to check if 'school_name' exists
|
31 |
+
print("Columns in merged data:", merged_data.columns)
|
32 |
+
|
33 |
return merged_data
|
34 |
|
35 |
# Perform clustering to find data center location
|
|
|
44 |
|
45 |
# Add school locations
|
46 |
for idx, row in df.iterrows():
|
47 |
+
# Update column names according to the correct ones
|
48 |
folium.Marker(
|
49 |
location=[row["latitude"], row["longitude"]],
|
50 |
popup=(
|
51 |
+
f"School Name: {row['school_name']}<br>" # Assuming 'school_name' is the correct column name
|
52 |
f"Download Speed: {row['download_speed']} Mbps<br>"
|
53 |
f"Upload Speed: {row['upload_speed']} Mbps<br>"
|
54 |
f"Latency: {row['latency']} ms"
|