如何仅使用PCOLORMESH绘制分类数据集的特定值

发布于 2025-02-08 20:57:14 字数 975 浏览 1 评论 0原文

我试图绘制分类降水类型，并且我想用一个结肠座，因为阵列包括-0.99（无爆炸）或0.99（stead）。我想知道如何仅在数据等于0.99时绘制。目前，这是我正在尝试的代码，它只是绘制了我的整个地图粉红色。有更好的方法吗？

import matplotlib as mpl
from matplotlib import colors
import cartopy.crs as ccrs
import matplotlib.pyplot as plt

proj = ccrs.LambertConformal(central_longitude=cLon, 
central_latitude=cLat)

fig = plt.figure(figsize=(12,12),dpi=100) # Increase the dots per inch from default 100 to make plot easier to read
ax = fig.add_subplot(1,1,1,projection=proj)
ax.set_extent ([lonW,lonE,latS,latN])

ptype_colors_fzra = ['deeppink']
cmap_ptype_ext_fzra = mpl.colors.ListedColormap(ptype_colors_fzra)
norm_ptype_ext_fzra = mpl.colors.BoundaryNorm([0.98,1],ncolors = len(ptype_colors_fzra))

ax.contourf(lons, lats, cfzra, cmap = cmap_ptype_ext_fzra, norm = norm_ptype_ext_fzra, 
transform = ccrs.PlateCarree(), zorder = 2)

This is what ends up plotting

原文

I am trying to plot categorial precipitation type and I have a colormap I want to use as the array either includes -0.99 (no precip) or 0.99 (precip). I want to know how to only plot when the data is equal to 0.99. Currently this is the code I am trying and it is just plotting my whole map pink. Is there a better way to do this?

import matplotlib as mpl
from matplotlib import colors
import cartopy.crs as ccrs
import matplotlib.pyplot as plt

proj = ccrs.LambertConformal(central_longitude=cLon, 
central_latitude=cLat)

fig = plt.figure(figsize=(12,12),dpi=100) # Increase the dots per inch from default 100 to make plot easier to read
ax = fig.add_subplot(1,1,1,projection=proj)
ax.set_extent ([lonW,lonE,latS,latN])

ptype_colors_fzra = ['deeppink']
cmap_ptype_ext_fzra = mpl.colors.ListedColormap(ptype_colors_fzra)
norm_ptype_ext_fzra = mpl.colors.BoundaryNorm([0.98,1],ncolors = len(ptype_colors_fzra))

ax.contourf(lons, lats, cfzra, cmap = cmap_ptype_ext_fzra, norm = norm_ptype_ext_fzra, 
transform = ccrs.PlateCarree(), zorder = 2)

This is what ends up plotting