How to show geopandas interactive map with .explore()

I made a geopandas dataframe and I want to use geopandas_dataframe.explore() to create an interactive map. Here is my code. First I create the geopandas dataframe, I check the dtypes and I try to map the dataframe with gdf.explore(). Unfortunately, my code just finishes without errors and no map is shown.

code:

geometry = [Point(xy) for xy in zip(df[1], df[0])]
gdf = geopandas.GeoDataFrame(df, geometry=geometry)
print(gdf.head())
print(gdf.dtypes)
gdf.explore()

output:

           0         1                  geometry
0  51.858306  5.778404  POINT (5.77840 51.85831)
1  51.858322  5.778410  POINT (5.77841 51.85832)
2  51.858338  5.778416  POINT (5.77842 51.85834)
3  51.858354  5.778422  POINT (5.77842 51.85835)
4  51.858370  5.778429  POINT (5.77843 51.85837)
0            float64
1            float64
geometry    geometry
dtype: object

Process finished with exit code 0

Why don't I get a map? I already tried gdf.show() but that doesn't exist. What do I need to do to show the geopandas map?

Solution 1:

What IDE are you using? In Jupyter Notebook your code (slightly modified) works for me. However, when I run it in PyCharm I get, "Process finished with exit code 0" with no plot.

import geopandas as gpd
import pandas as pd
from shapely.geometry import Point

data_dict = {'x': {0: 51.858306, 1: 51.858322, 2: 51.858338, 3: 51.858354, 4: 51.85837},
 'y': {0: 5.778404, 1: 5.77841, 2: 5.778416, 3: 5.778422, 4: 5.778429}}

df = pd.DataFrame(data_dict)

geometry = [Point(xy) for xy in zip(df['x'], df['y'])]
gdf = gpd.GeoDataFrame(df, geometry=geometry)
print(gdf.head())
print(gdf.dtypes)
gdf.explore()

Edit: Looks like you can save your folium figure to a html. This worked for me from PyCharm.

m = gdf.explore()

outfp = r"<your dir path>\base_map.html"

m.save(outfp)