folium | Python Data Leafletjs Maps | Map library
kandi X-RAY | folium Summary
kandi X-RAY | folium Summary
Python Data. Leaflet.js Maps.
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Top functions reviewed by kandi - BETA
- Compute the bounding box of the topoJSON
- Returns the minimum value of x and y
- Return the maximum value of x
- Compute the bounds of the GeoJSON object
- Helper function to mirror locations
- Compute bounding box for a list of locations
- Convert an image to a PNG URL
- Return whether the given URL is a valid URL
- Write a PNG image to PNG
- Render the figure
- Warn if a GeoJSON feature collection is not configured
- Render the heat map
- Add child
- Render layer
- Compares two objects
- Walk the subpkg directory and return a list of filenames
- Get the bounds of the image
- Render data
- Render the map
- Render this GeoJSON object
- Parse kwargs
- Get the bounds of the mesh
- Render the image overlay
- Process data
- Render this element
- Fit a bounding box
folium Key Features
folium Examples and Code Snippets
Lines of Code : 110License : Strong Copyleft (CC BY-SA 4.0)
Copyimport geopandas as gpd
import pandas as pd
import osmnx as ox
import folium
import requests
from pathlib import Path
from zipfile import ZipFile
url = "https://data.geo.admin.ch/ch.astra.unfaelle-personenschaeden_alle/unfaelle-personenscfrom pathlib import Path
import pandas as pd
import geopandas as gpd
import shapely
import folium
# downloaded data
df = pd.read_csv(
Path.home().joinpath("Downloads/SaobracajBeograd.csv"),
names=["ID", "Date,Time", "E", "N", "Outimport pandas as pd
import requests
import folium
# source data, requires https://pypi.org/project/odfpy/
df = pd.read_excel(
"https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1048354/eleimport pandas as pd
import numpy as np
import io
import folium
import branca.colormap as cm
data = '''
id lon lat segment
ABMF00GLP -61.528 16.262 41
ABPO00MDG 47.229 -19.018 71
ACRG00GHA -0.207 5.641 16
AGGtext = text.replace(". ", ".
")
import textwrap
desc = r['Oligarch_Description']
splited = textwrap.wrap(desc, 50)
desc = '
'.join(splitted)
print(desc)
import folium
from foliumloc_bog = gpd.read_file("dataset/localidades-bogota.geojson")
style_loc = {'fillColor':"#ff000020", "color":"#000000"}
loc_layer = folium.GeoJson(
loc_bog,
name = "Localidades",
show=False,
style_function=lambda x:style_locdata_loc
longitude_depart latitude_depart dep
0 3.696269 49.150781 [3.6962692140575397, 49.15078065211988]
1 3.950767 49.247604 [3.9507668707665, 4import streamlit as st
from streamlit_folium import folium_static
import folium
if "radius" not in st.session_state:
st.session_state.radius = "0.1 mile"
def miles_to_meters(miles):
return miles*1609
data = {
"0.1 mile": import xyzservices.providers as xyz
import geopandas as gpd
import matplotlib.colors as colors
import folium
gdf = gpd.read_file(gpd.datasets.get_path("naturalearth_cities"))
gdf["Hemisphere"] = gdf["geometry"].apply(lambda x: "Norte" if import math
from shapely.geometry import Point
from shapely.affinity import scale, rotate
#input parameters
A = Point(-95.5, 41.25)
B = Point(-96.5, 41.25)
R = .25
d = A.distance(B)
#first, rotate B to B' around A so that |AB'| = |AB| aCommunity Discussions
Trending Discussions on folium
QUESTION
I have a list of of ploygons that have areas mapped out on a map
...ANSWER
Answered 2022-Apr-05 at 07:20- start by buffering polygons
- using this approach https://gis.stackexchange.com/questions/370521/erase-overlapping-qgis-polygon-using-geopandas-within-jupyter
- full MWE using your data
QUESTION
I'm trying to load a module called folium into my Jupyter Notebook environment. When I attempt to load this module, a ModuleNotFoundError is returned.
When I run !pip list in the same Jupyter Notebook environment,
folium is listed amongst my installed modules.
How do I successfully load this module?
...ANSWER
Answered 2022-Mar-22 at 16:14Could it be that you expect a certain Python installation (virtual environment) to be used in Jupyter, but Jupyter is using a different kernel?
With that assumption, I believe all you need to do is to add the virtual environment to Jupyter as a kernel. In more detail:
- Install & activate your virtual environment. Below I'll use
virtualenv, which nowadays seems to be the recommended way of working (see Python docs), but there are other options as well:pip install --user virtualenvif it is not installed yet (it is installed by default for the newer Python versions). By the way, personally, I use Poetry instead ofpipfor a while now, and I like it a lot.- Go to the desired directory (with
cd) and create the environment withpython3 -m venv. - Activate the environment with
source /bin/activate(deactivate withdeactivate).
- Make sure
ipykernelis installed (pip install --user ipykernel) - Add the venv to Jupyter with
python3 -m ipykernel install --user --name=.
Now you should be able to select in Jupyter this environment as a kernel, and all packages installed in that venv should be picked up by Jupyter automatically as well (you'll need to restart the kernel in that case though).
QUESTION
I'm trying to plot an interactive map using Geopandas and its explore() method in Colab.
However, when I write:
...ANSWER
Answered 2022-Feb-23 at 21:21The first positional argument to geopandas.GeoDataFrame.explore is column:
column: str, np.array, pd.Series (default None)
The name of the dataframe column, numpy.array, or pandas.Series to be plotted. If numpy.array or pandas.Series are used then it must have same length as dataframe.
If you're plotting a dataframe with more than one column, be sure to provide the name of the column you would like to explore, as in:
QUESTION
I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:
...ANSWER
Answered 2022-Feb-07 at 09:19It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason
QUESTION
I have tried to plot polygons to map with Geopandas and Folium using Geopandas official tutorial and this dataset. I tried to follow the tutorial as literally as I could but still Folium don't draw polygons. Matplotlib map works and I can create Folium map too. Code:
...ANSWER
Answered 2021-Dec-25 at 22:21The trick here is to realize that your data is not in units of degrees. You can determine this by looking at the centroid of your polygons:
QUESTION
Folium allow to create Markers with tooltip or popup text. I would like to do the same with my GeoJSON polygons.
My GeoJSON has a property called "name" (feature.properties.name -> let's assume it is the name of each US state). I would like to be able to display this as a label in my choropleth map, in addition to the unemployment rate in each state. I also have the same information in the "State" column from the pandas dataframe.
Is this possible? I would be happy with a solution that allows this to be a popup, tooltip or a simple text label written on top.
...ANSWER
Answered 2021-Dec-24 at 17:53I've had to use folium's GeoJsonTooltip() and some other steps to get this done in the past. I'm curious to know if someone has a better way
- Capture the return value of the Choropleth function
- Add a value(eg unemployment) to the Chorpleth's underlying geojson obj
- Create GeoJsonTooltip with that value from step 2
- Add that tooltip to the choropleth's geojson
QUESTION
My Data is just a simple csv with a Zip Code column with an Uninsured Column to represent the percentage of uninsured population in that zip code. Also the geojson file for the zip codes is attached here
My Code is as follows:
...ANSWER
Answered 2021-Dec-03 at 05:08The reason you could not draw the graph may be that the geometry of geopandas is a line segment. I got the zip code geojson file from here to deal with this. This file is in polygon format. Also, if you reference it as it is in goepandas, the key referenced in key_on will be 'feature.propeties.zipcode'. One important point is that the zip code to be associated with geojson is a string, so the user data must also be a string.
QUESTION
I wanted to try Geopanda's interactive visualization, and the function .explore() unfortunatly I have this error message : 'GeoDataFrame' object has no attribute 'explore' Which is quite weird as GeoDataFrame should be compatible with explore (https://geopandas.org/docs/reference/api/geopandas.GeoDataFrame.explore.html). I'm using Geopandas v. 0.9.0. and my code is :
ANSWER
Answered 2021-Oct-12 at 12:01Try to output all attributes of your objects.
Use: print(dir(query)) and print(dir(gpd))
There is explore() inside?
QUESTION
So I have gone through the forums in search for an answer but haven't found one that works for me. I am using Windows machine and my Django application works on Localhost but when I try to deploy the same application to Heroku it gives me this error.
...ANSWER
Answered 2021-Nov-14 at 11:37In your current requirements.txt you marked pywin32 with environment marker platform_system == "Windows". I think the syntax is wrong. The correct syntax from PEP 496 is:
QUESTION
EDIT : Adding code that generates the polygons. df is the base data loaded from csv and processed into clusters :
ANSWER
Answered 2021-Nov-10 at 09:33frm probably does not have the correct crs to be show on the folium map.
Even if creating a GeoDataFrame with the crs parameter it seems to not change the original crs.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install folium
You can use folium like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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