Created
March 19, 2020 15:34
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import numpy as np | |
import matplotlib.pyplot as plt | |
import cartopy.crs as ccrs | |
import cartopy.feature as cfeature | |
lon = 10 + 15 * np.random.random(30) | |
lat = 55 + 15 * np.random.random(30) | |
data = np.random.randn(30) | |
land_10m = cfeature.NaturalEarthFeature('physical', 'land', '10m', | |
edgecolor='k', facecolor='none') | |
borders_10m = cfeature.NaturalEarthFeature('cultural', 'admin_0_boundary_lines_land', | |
'10m', edgecolor='grey', facecolor='none') | |
subborders_10m = cfeature.NaturalEarthFeature('cultural', 'admin_1_states_provinces', | |
'10m', edgecolor='grey', alpha=0.3, facecolor='none') | |
projection = ccrs.TransverseMercator(central_longitude=15, scale_factor=0.9996) #SWEREF89 | |
plate = ccrs.PlateCarree() | |
fig, ax = plt.subplots(1, 1, constrained_layout=True, | |
subplot_kw=dict(projection=projection), | |
figsize=(4, 8)) | |
ax.add_feature(land_10m) | |
ax.add_feature(borders_10m) | |
ax.add_feature(subborders_10m) | |
c = ax.scatter(lon, lat, c=data, transform=plate, | |
s=5, vmin=-2.5, vmax=2.5, cmap='bwr') | |
ax.set_title('Data') | |
plt.colorbar(c, ax=ax) | |
plt.show() | |
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