folium

I am trying to use Folium for geographical information reading from a pandas dataframe. The code I have is this one: import folium from folium import plugins import pandas as pd ...operations on dataframe df... map_1 = folium.Map(location=[51.5073219, -0.1276474], zoom_start=12, tiles='Stamen Terrain') markerCluster = folium.plugins.MarkerCluster().add_to(map_1) lat=0. lon=0. for index,row in df.iterrows(): lat=row['lat] lon=row['lon'] folium.Marker([lat, lon], popup=row['name']).add_to(markerCluster) map_1 df is a dataframe with longitude, latitude and name information. Longitude and latitude

I am trying to create a choropleth map using folium, following the example here: https://pypi.python.org/pypi/folium . The goal is to produce a choropleth map of US unemployment rates, but when I open my map US states are not shaded in. Any suggestions? import folium import pandas as pd state_geo = r'data/us-states.json' state_unemployment = r'data/US_Unemployment_Oct2012.csv' state_data = pd.read_csv(state_unemployment) #Let Folium determine the scale map = folium.Map(location=[48, -102], zoom_start=3) map.geo_json(geo_path=state_geo, data=state_data, columns=['State', 'Unemployment'], key_on

I have successfully rendered folium maps on my jupyter notebook by increasing the data limit when launching jupyter from anaconda prompt like this: "jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10" However, when I have uploaded the notebook to Github, rather than the map I had processed, I got a blank window. How can I render these maps? Is it possible to increase the data_rate_limit on the notebook when it is being launched through github? 来源： https://stackoverflow.com/questions/46431442/folium-maps-not-showing-up-on-jupyter-notebook-uploaded-on-github

The Folium documentation is incomplete at this time: https://folium.readthedocs.io/en/latest/ According to the index of the incomplete docs Legends and Layers are, or will be supported. I've spent some time looking for examples on the web but have found nothing so far. If anyone has any idea how to create these things, or can point me to a document or tutorial I would be most grateful. You can add a legend quite easily; #specify the min and max values of your data colormap = branca.colormap.linear.YlOrRd_09.scale(0, 8500) colormap = colormap.to_step(index=[0, 1000, 3000, 5000, 8500]) colormap

My problem is that suburbs are not displaying the correct color on the Folium map. For example, Dandenong and Frankston should be shaded with the darkest color as they have the highest count in the dataframe, but they are shaded with a lighter color. The dataframe is missing some suburbs. Those suburbs are being colored with the darkest color. Another problem is the csv has all suburbs in UPPERCASE but the geojson has a mixture of cases such as "Frankston", "St Kilda", or "McKinnon". It would be helpful if the choropleth code didn't care about case. I can change the text in the dataframe to

I am using folium to create a choropleth map of a set of countries. I am following the documentation . However. for some reason the map doesn't show any shades. I am using the world geojson from natural earth (see the gist ). My dataframe looks like: >>> spatial_scores.head() Out[1]: id Country Score PER Peru 2.810300 HND Honduras 2.734521 GUF French Guiana 2.730886 SLV El Salvador 2.473134 CRI Costa Rica 2.454963 The world geojson looks like: >>> world_json['features'][0]['id'] Out [2]: u'AFG' The relevant portions of the choropleth codes are as below: map1 = folium.Map(location=[-15., -60],