Open zxdawn opened 2 years ago
If we plot the data first and then add the landcolor, the land will cover the data. It's better to set the land to the lowest zorder.
import proplot as pplt import numpy as np offset = -40 lon = pplt.arange(offset, 360 + offset - 1, 60) lat = pplt.arange(60, 70, 1) state = np.random.RandomState(51423) data = state.rand(len(lat), len(lon)) fig, axs = pplt.subplots(proj='npstere') axs.pcolor(lon, lat, data, cmap='viridis') axs.format(boundinglat=60, land=True, landcolor='gray5')
Expected behavior: Format axis before plot data:
axs.format(boundinglat=60, land=True, landcolor='gray5') axs.pcolor(lon, lat, data, cmap='viridis')
Actual behavior:
3.5.1 0.9.5.post202
Note that the coast should be kept as the highest zorder.
Description
If we plot the data first and then add the landcolor, the land will cover the data. It's better to set the land to the lowest zorder.
Steps to reproduce
Expected behavior: Format axis before plot data:
Actual behavior:
Proplot version