Python（3.4.2）如何绘制具有给定半径的二维数组作为圆？

Question

from matplotlib.pyplot import * 

例如，我有一个二维数组，下变量名存储：“R”：

([[ 0.680979 , 0.8126483 ], 
    [ 0.4634487 , 0.14742914], 
    [ 0.27596818, 0.70073533], 
    [ 0.52843694, 0.54878972], 
    [ 0.13926434, 0.4223568 ], 
    [ 0.39956441, 0.31257942], 
    [ 0.06566612, 0.65883135], 
    [ 0.44879016, 0.33009628], 
    [ 0.68340944, 0.67422729], 
    [ 0.25075741, 0.08038742]]) 

我要绘制半径r的圆在以下坐标，例如磁盘1：

x-coordinate: 0.680979 y-coordinate:0.8126483 

我想所有的圆圈都绘制在1图上。

Answer 1

如果你想在屏幕指定圆的大小单位使用scatter

import matplotlib.pyplot as plt 
import numpy as np 

X, Y = np.array ([[ 0.680979 , 0.8126483 ], 
    [ 0.4634487 , 0.14742914], 
    [ 0.27596818, 0.70073533], 
    [ 0.52843694, 0.54878972], 
    [ 0.13926434, 0.4223568 ], 
    [ 0.39956441, 0.31257942], 
    [ 0.06566612, 0.65883135], 
    [ 0.44879016, 0.33009628], 
    [ 0.68340944, 0.67422729], 
    [ 0.25075741, 0.08038742]]).T 

r = 10 # in units of sq pixels 

fig, ax = plt.subplots() 
sc = ax.scatter(X, Y, s=r) 

scatter docs

，如果你想设置的大小数据单位：

import matplotlib.patches as mpatches 
import matplotlib.collections as mcoll 
fig, ax = plt.subplots() 
circles = [mpatches.Circle((x, y), radius=.1) for x, y in zip(X, Y)] 
coll = mcoll.PatchCollection(circles) 
ax.add_collection(coll) 
ax.set_aspect('equal') 
# you may have to set the x and y limits your self. 
ax.set_xlim(...) 
ax.set_ylim(...) 

circle doc，PatchCollection doc