Does anyone know how to add a loading bar to Google's Heatmap API while generating?
0
For some reason Google's gmplot takes a horribly long time to load a heat map with coordinates when generating a heatmap.html. I'm building a Twitter analysis tool and the user would like to know how long it's taking to create. I'm currently using tqdm's loading bars.
def heat_map(df_H1, df_H2):
# Create heat map
heat_promt = input("Load heat map? [yn]")
if heat_promt == 'y' or heat_promt == 'Y':
print(colored("Loading heat map ..", "green"))
# Bypass for SSL: CERTIFICATE_VERIFY_FAILED error
# import certifi
# import ssl
ctx = ssl.create_default_context(cafile=certifi.where())
geopy.geocoders.options.default_ssl_context = ctx
geolocator = Nominatim(timeout=10)
coordinates = {'latitude': , 'longitude': }
for i in range(df_H2):
location = geolocator.geocode(df_H1["Location"][i])
if location:
coordinates['latitude'].append(location.latitude)
coordinates['longitude'].append(location.longitude)
gmap = gmplot.GoogleMapPlotter(30, 0, 3)
gmap.heatmap(coordinates['latitude'],
coordinates['longitude'], radius=20)
gmap.draw("heatmap.html")
elif(heat_promt == 'n' or heat_promt == 'N'):
passpython sql data-visualization twitter
asked 9 mins ago
Garrett
1
New contributor
Garrett is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
0
For some reason Google's gmplot takes a horribly long time to load a heat map with coordinates when generating a heatmap.html. I'm building a Twitter analysis tool and the user would like to know how long it's taking to create. I'm currently using tqdm's loading bars.
def heat_map(df_H1, df_H2):
# Create heat map
heat_promt = input("Load heat map? [yn]")
if heat_promt == 'y' or heat_promt == 'Y':
print(colored("Loading heat map ..", "green"))
# Bypass for SSL: CERTIFICATE_VERIFY_FAILED error
# import certifi
# import ssl
ctx = ssl.create_default_context(cafile=certifi.where())
geopy.geocoders.options.default_ssl_context = ctx
geolocator = Nominatim(timeout=10)
coordinates = {'latitude': , 'longitude': }
for i in range(df_H2):
location = geolocator.geocode(df_H1["Location"][i])
if location:
coordinates['latitude'].append(location.latitude)
coordinates['longitude'].append(location.longitude)
gmap = gmplot.GoogleMapPlotter(30, 0, 3)
gmap.heatmap(coordinates['latitude'],
coordinates['longitude'], radius=20)
gmap.draw("heatmap.html")
elif(heat_promt == 'n' or heat_promt == 'N'):
passpython sql data-visualization twitter
asked 9 mins ago
Garrett
1
New contributor
Garrett is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
0
0
0
For some reason Google's gmplot takes a horribly long time to load a heat map with coordinates when generating a heatmap.html. I'm building a Twitter analysis tool and the user would like to know how long it's taking to create. I'm currently using tqdm's loading bars.
def heat_map(df_H1, df_H2):
# Create heat map
heat_promt = input("Load heat map? [yn]")
if heat_promt == 'y' or heat_promt == 'Y':
print(colored("Loading heat map ..", "green"))
# Bypass for SSL: CERTIFICATE_VERIFY_FAILED error
# import certifi
# import ssl
ctx = ssl.create_default_context(cafile=certifi.where())
geopy.geocoders.options.default_ssl_context = ctx
geolocator = Nominatim(timeout=10)
coordinates = {'latitude': , 'longitude': }
for i in range(df_H2):
location = geolocator.geocode(df_H1["Location"][i])
if location:
coordinates['latitude'].append(location.latitude)
coordinates['longitude'].append(location.longitude)
gmap = gmplot.GoogleMapPlotter(30, 0, 3)
gmap.heatmap(coordinates['latitude'],
coordinates['longitude'], radius=20)
gmap.draw("heatmap.html")
elif(heat_promt == 'n' or heat_promt == 'N'):
passpython sql data-visualization twitter
asked 9 mins ago
Garrett
1
New contributor
Garrett is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
For some reason Google's gmplot takes a horribly long time to load a heat map with coordinates when generating a heatmap.html. I'm building a Twitter analysis tool and the user would like to know how long it's taking to create. I'm currently using tqdm's loading bars.
def heat_map(df_H1, df_H2):
# Create heat map
heat_promt = input("Load heat map? [yn]")
if heat_promt == 'y' or heat_promt == 'Y':
print(colored("Loading heat map ..", "green"))
# Bypass for SSL: CERTIFICATE_VERIFY_FAILED error
# import certifi
# import ssl
ctx = ssl.create_default_context(cafile=certifi.where())
geopy.geocoders.options.default_ssl_context = ctx
geolocator = Nominatim(timeout=10)
coordinates = {'latitude': , 'longitude': }
for i in range(df_H2):
location = geolocator.geocode(df_H1["Location"][i])
if location:
coordinates['latitude'].append(location.latitude)
coordinates['longitude'].append(location.longitude)
gmap = gmplot.GoogleMapPlotter(30, 0, 3)
gmap.heatmap(coordinates['latitude'],
coordinates['longitude'], radius=20)
gmap.draw("heatmap.html")
elif(heat_promt == 'n' or heat_promt == 'N'):
passdef heat_map(df_H1, df_H2):
# Create heat map
heat_promt = input("Load heat map? [yn]")
if heat_promt == 'y' or heat_promt == 'Y':
print(colored("Loading heat map ..", "green"))
# Bypass for SSL: CERTIFICATE_VERIFY_FAILED error
# import certifi
# import ssl
ctx = ssl.create_default_context(cafile=certifi.where())
geopy.geocoders.options.default_ssl_context = ctx
geolocator = Nominatim(timeout=10)
coordinates = {'latitude': , 'longitude': }
for i in range(df_H2):
location = geolocator.geocode(df_H1["Location"][i])
if location:
coordinates['latitude'].append(location.latitude)
coordinates['longitude'].append(location.longitude)
gmap = gmplot.GoogleMapPlotter(30, 0, 3)
gmap.heatmap(coordinates['latitude'],
coordinates['longitude'], radius=20)
gmap.draw("heatmap.html")
elif(heat_promt == 'n' or heat_promt == 'N'):
passdef heat_map(df_H1, df_H2):
# Create heat map
heat_promt = input("Load heat map? [yn]")
if heat_promt == 'y' or heat_promt == 'Y':
print(colored("Loading heat map ..", "green"))
# Bypass for SSL: CERTIFICATE_VERIFY_FAILED error
# import certifi
# import ssl
ctx = ssl.create_default_context(cafile=certifi.where())
geopy.geocoders.options.default_ssl_context = ctx
geolocator = Nominatim(timeout=10)
coordinates = {'latitude': , 'longitude': }
for i in range(df_H2):
location = geolocator.geocode(df_H1["Location"][i])
if location:
coordinates['latitude'].append(location.latitude)
coordinates['longitude'].append(location.longitude)
gmap = gmplot.GoogleMapPlotter(30, 0, 3)
gmap.heatmap(coordinates['latitude'],
coordinates['longitude'], radius=20)
gmap.draw("heatmap.html")
elif(heat_promt == 'n' or heat_promt == 'N'):
passpython sql data-visualization twitter
python sql data-visualization twitter
asked 9 mins ago
Garrett
1
New contributor
Garrett is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 9 mins ago
Garrett
1
New contributor
Garrett is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 9 mins ago
Garrett
1
New contributor
Garrett is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 9 mins ago
Garrett
1
asked 9 mins ago
Garrett
1
1
New contributor
Garrett is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Garrett is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Garrett is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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