I've got a map of the world on which I am iteratively plotting drought areas in a for-loop.
For reproducibility, data is here: https://data.humdata.org/dataset/global-droughts-events-1980-2001
import pandas as pd
import geopandas as gpd
import matplotlib.pyplot as plt
import seaborn as sns
from IPython.display import clear_output
sns.set_theme(style='whitegrid')
dr_geometry = gpd.read_file('data/dr_events.shp')
world_geometry = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
for y in dr_geometry.year.unique():
clear_output(wait=True)
fig, ax = plt.subplots(1, 1, figsize=(15, 15))
world_geometry.plot(ax=ax)
dr_geometry[dr_geometry.year == y].plot(ax=ax, color='red', edgecolor='black', linewidth=0.1)
plt.show();
This is working fine, except that the y-axis shrinks or expands on each iteration by a small but very noticeable amount, resulting in a choppy animation. How can I eliminate this behavior?
Note: Setting the ylim
explicitly does not change this. Also I have tried moving the subplots
instantiation outside of the for-loop, but this results in empty outputs.
An iteration output:
ax.set_aspect('equal')
prevents the shifting on my end:
for y in dr_geometry.year.unique():
clear_output(wait=True)
fig, ax = plt.subplots(1, 1, figsize=(15, 15))
world_geometry.plot(ax=ax)
dr_geometry[dr_geometry.year == y].plot(ax=ax, color='red', edgecolor='black', linewidth=0.1)
# set aspect ratio explicitly
ax.set_aspect('equal')
plt.show();
Thanks to @martinfleis for pointing out the reason for the shifting:
.plot()
now automatically determines whether GeoSeries (or GeoDataFrame) is in geographic or projected CRS and calculates aspect for geographic using1/cos(s_y * pi/180)
withs_y
as the y coordinate of the mean of y-bounds of GeoSeries. This leads to better representation of the actual shapes than current hard-coded 'equal' aspect.