CODEWITHSUNDEEP
pythonmatplotlibcoordinatesgeopandas
Matthi9000
Matthi9000

Reputation: 1237

Geopandas plot empty when changing crs and plotting with fig,ax (without fig,ax everything is fine)?

When using fig,ax from matplotlib in combination with a geopandas dataframe AND when changing the .crs, the plot is empty. Anyone an idea why this happens and how to fix it?

Dataset: https://hub.arcgis.com/datasets/esribeluxdata::belgium-municipalities-1 

import geopandas as gpd
import matplotlib.pyplot as plt
from fiona.crs import from_epsg

belgium = gpd.read_file("BELGIUM__Municipalities.shp")

fig,ax = plt.subplots()
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_visible(False)
ax.get_xaxis().set_visible(False)
ax.get_yaxis().set_visible(False)

municipalities.plot(ax = ax) -> crs=WGS84 (lat/long)
plt.show()

municipalities = municipaliteis.to_crs("epsg:3395") -> crs to Mercator projection
municipalities.crs
municipalities.plot(ax = ax) -> plot = empty: Why does this happen, how to fix it?
plt.show()
municipalities.plot() -> plot = Mercator plot
plt.show()

Upvotes: 2

Views: 902

Answers (1)

david
david

Reputation: 1501

It is OK to change crs, below I made it with subplots. If you keep same ax object I think it could be difficult to see them both cause limits are not at all the same.

import geopandas as gpd
import matplotlib.pyplot as plt
from fiona.crs import from_epsg

municipalities = gpd.read_file("BELGIUM__Municipalities.shp")

fig, ax = plt.subplots(1, 2)
for a in ax:
    a.spines['top'].set_visible(False)
    a.spines['right'].set_visible(False)
    a.spines['left'].set_visible(False)
    a.spines['bottom'].set_visible(False)
    a.get_xaxis().set_visible(False)
    a.get_yaxis().set_visible(False)

municipalities.plot(ax=ax[0], color='red')

municipalities = municipalities.to_crs("epsg:3395")
municipalities.plot(ax=ax[1])

plt.show()

EDIT: In your second call, your ax is no more referring to an visually existing area so, you can do that to recreate it:


import geopandas as gpd
import matplotlib.pyplot as plt
from fiona.crs import from_epsg

municipalities = gpd.read_file("BELGIUM__Municipalities.shp")

def init():
    fig,ax = plt.subplots()
    ax.spines['top'].set_visible(False)
    ax.spines['right'].set_visible(False)
    ax.spines['left'].set_visible(False)
    ax.spines['bottom'].set_visible(False)
    ax.get_xaxis().set_visible(False)
    ax.get_yaxis().set_visible(False)
    return ax

ax = init()
municipalities.plot(ax = ax) 
plt.show()

ax = init()
municipalities = municipalities.to_crs("epsg:3395")
municipalities.plot(ax=ax) 
plt.show()
municipalities.plot()
plt.show()

In the last call, matplotlib creates a new axes object as you do not mention any axes to work with.

Upvotes: 2

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