问题描述
我想在极坐标散点图上绘制大量数据点.我知道我的数据从笛卡尔图中看起来如何，我很快注意到它在极坐标图中扭曲了.现在，如果我只是绘制绘制数据的网格，它已经是不规则和扭曲的.
I want to plot a large number of data points on a polar scatter plot. I know how my data looks like from a cartesian plot, and I quickly noticed it got distorted on the polar plot. Now if I just plot the grid over which the data is plotted, it is already non-regular and distorted.
这是我的代码:
import numpy as np
import matplotlib.pyplot as plt
azimuths = np.linspace(0,2*np.pi,2000) # azimuthal angles
zeniths = np.linspace(0,100,200) # zenith is basically the radial extent of the plot
phi,r = np.meshgrid(azimuths,zeniths) # make the grid for the polar plot
fig, ax = plt.subplots(subplot_kw=dict(projection='polar'),figsize=(10,10)) # initialize figure
j=ax.scatter(phi,r,s=0.01) # make scatter plot
ax.set_rlim(0,100) # set radial limits
产生下图:
我想知道是否有人知道一种在极坐标图上创建统一网格的方法，对于这个数量的数据点，不会出现奇怪的波纹.
I wonder if someone knows a way to create a uniform grid over the polar plot where no weird ripples appear, for this number of data points.
推荐答案
增加 dpi 参数 - 默认为 100.同时考虑增加 figsize.涟漪效应是显示故障，因此应该可以解决问题.
Increase the dpi parameter - the default is 100. Also consider increasing the figsize. The ripple effect is a display glitch, so this should fix things.
fig, ax = plt.subplots(subplot_kw=dict(projection='polar'),figsize=(10,10), dpi=200)
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