geopandas

问题 I am running a loop that computes a networkx.classes.multidigraph.MultiDiGraph for each row (neighbourhood) of a list of GeoDataFrames (cities). It then computes some statistics for each row and writes the file out to disk. The problem is that the loop is extremely long to compute because the graph is computed for each row. The way I want to quicken the loop is by computing the graph for the whole GeoDataFrame and then clipping the graph into each row (each row has a polygon). You can do this

问题 I am following the example here and successfully created convex hulls. But I have a question on how to calculate the shared areas between each convex hull in the following figure: Thanks! 回答1: Here's an example to get the intersection of Manhattan and the Bronx. You could use pd.concat() before .overlay() if you want to combine boroughs. import geopandas as gpd nybb_path = gpd.datasets.get_path('nybb') boros = gpd.read_file(nybb_path) boros.set_index('BoroCode', inplace=True) boros.sort_index

问题 This question already has answers here : Link each point in one GeoPandas dataframe to polygons in another dataframe (2 answers) Closed 19 days ago . I have a shapefile of London with over 4000 unique polygons representing lsoa areas. I have also created a geodataframe of points representing sensors in the city. I need to work out which lsoa area (ie which polygon) each sensor belongs to/is within. So ideally I would have a list of each sesnsor_id_location and their respective lsoa number

问题 This question already has answers here : Link each point in one GeoPandas dataframe to polygons in another dataframe (2 answers) Closed 19 days ago . I have a shapefile of London with over 4000 unique polygons representing lsoa areas. I have also created a geodataframe of points representing sensors in the city. I need to work out which lsoa area (ie which polygon) each sensor belongs to/is within. So ideally I would have a list of each sesnsor_id_location and their respective lsoa number

问题 This question already has answers here : Link each point in one GeoPandas dataframe to polygons in another dataframe (2 answers) Closed 19 days ago . I have a shapefile of London with over 4000 unique polygons representing lsoa areas. I have also created a geodataframe of points representing sensors in the city. I need to work out which lsoa area (ie which polygon) each sensor belongs to/is within. So ideally I would have a list of each sesnsor_id_location and their respective lsoa number

问题 I have a map of Chile (http://labgeo.ufro.cl/fichas/chile_geo/ficha_cl_geo.html first link that says "Chile continental) and would like to plot it and add some points of centers for which I have latitude and longitud data. I am newbie with geopandas and matplotlib but I managed to plot the map with the centers as dots of different colors using the suggested answer for matplotlib from this post: Color by Column Values in Matplotlib Here is my code: #Loading data, since I am making the

问题 I'm trying to selection objects within a region from a pandas dataframe which contains a list of item ids and lat lon pairs. Is there a selection method for this? I think this would be similar to this SO question but using PANDAS instead of SQL Selecting geographical points within area Here is my table saved in locations.csv ID, LAT, LON 001,35.00,-75.00 002,35.01,-80.00 ... 999,25.76,-64.00 I can load the dataframe, and select a rectangular region: import pandas as pd df = pd.read_csv(

问题 I'm trying to selection objects within a region from a pandas dataframe which contains a list of item ids and lat lon pairs. Is there a selection method for this? I think this would be similar to this SO question but using PANDAS instead of SQL Selecting geographical points within area Here is my table saved in locations.csv ID, LAT, LON 001,35.00,-75.00 002,35.01,-80.00 ... 999,25.76,-64.00 I can load the dataframe, and select a rectangular region: import pandas as pd df = pd.read_csv(

问题 Is there a tutorial (step by step) to install geopandas on a windows pc? or which way works better? I have tried the solutions in the documentation using anaconda but I ended up receiving errors (even creating an environment as recommended). I even tried installing what are called wheels for the different associated packages as suggested in another similar question. For someone new like me into python I was looking for something easy to follow to install, or there is not such thing when

问题 I created a circle using geopandas and it returned a shapely polygon: POLYGON: ((...)) I want this same polygon as a geojson object. I ran across this: shapely.geometry.mapping(shapelyObject) which returns this: {'type': 'Polygon', 'coordinates': (((570909.9247264927, 125477.71811034005)...} But when I try to map this in mapbox it does not show anything. I think maybe it is not fully a geojson object. 回答1: If you don't want to create this dict manually, you can also rely on geopandas creating