我正在尝试绘制印度不同年份和不同地点的污染水平。
我能够独立获取散点图和 basemap 。但是,我在 map 上指定的地理位置上绘制此散点图时遇到困难。结果是 map 被放置在散点图的顶部,这不是我想要的。
这是我正在使用的代码:
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import pandas as pd
m = Basemap(projection='mill',
llcrnrlat = -80,#llcrncrlat=lower left corner latitude
llcrnrlon = -180,
urcrnrlat = 80,
urcrnrlon = 180,
resolution = 'l')
df = pd.read_csv('dust.csv')
x = df[['y']]
y = df[['x']]
colors = df[['y1']]
#m.drawcoastlines()
#m.drawcountries(linewidth=2)
#m.scatter(df['x'],df['y'],s=colors, alpha=0.5, cmap='viridis')
plt.scatter(x,y,s=colors, alpha=0.5, cmap='viridis')
plt.colorbar()
plt.show()
最佳答案
import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
# make up some data for scatter plot
df = pd.read_csv('dust.csv')
x = df[['y']].values
y = df[['x']].values
fig = plt.gcf()
fig.set_size_inches(8, 6.5)
m = Basemap(projection='mill',
llcrnrlat = 6.5,#llcrncrlat=lower left corner latitude
llcrnrlon = 66,
urcrnrlat = 36,
urcrnrlon = 98,
resolution = 'l')
#m.bluemarble(scale=0.2) # full scale will be overkill
m.drawcoastlines(linewidth=1)# add coastlines
m.drawcountries(linewidth=1)
# transform coordinates
#plt.subplot(221)
x,y=m(x,y)
plt.scatter(x, y,s=df.iloc[1:,2], alpha = 0.5, cmap='viridis')
plt.colorbar()
plt.show()
关于python - 如何在 basemap 顶部绘制不同密度的散点图,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/58016749/