Python 如何在Matplotlib中将颜色设置为矩形?
如何将颜色设置为矩形(例如在matplotlib中)?我尝试使用参数颜色,但没有成功 我有以下代码:Python 如何在Matplotlib中将颜色设置为矩形?,python,matplotlib,Python,Matplotlib,如何将颜色设置为矩形(例如在matplotlib中)?我尝试使用参数颜色,但没有成功 我有以下代码: fig=pylab.figure() ax=fig.add_subplot(111) pylab.xlim([-400, 400]) pylab.ylim([-400, 400]) patches = [] polygon = Rectangle((-400, -400), 10, 10, color='y') patches.append(polygon) p = PatchCol
fig=pylab.figure()
ax=fig.add_subplot(111)
pylab.xlim([-400, 400])
pylab.ylim([-400, 400])
patches = []
polygon = Rectangle((-400, -400), 10, 10, color='y')
patches.append(polygon)
p = PatchCollection(patches, cmap=matplotlib.cm.jet)
ax.add_collection(p)
ax.xaxis.set_major_locator(MultipleLocator(20))
ax.yaxis.set_major_locator(MultipleLocator(20))
pylab.show()
我无法使您的代码正常工作,但希望这将有助于:
import matplotlib
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)
rect1 = matplotlib.patches.Rectangle((-200,-100), 400, 200, color='yellow')
rect2 = matplotlib.patches.Rectangle((0,150), 300, 20, color='red')
rect3 = matplotlib.patches.Rectangle((-300,-50), 40, 200, color='#0099FF')
circle1 = matplotlib.patches.Circle((-200,-250), radius=90, color='#EB70AA')
ax.add_patch(rect1)
ax.add_patch(rect2)
ax.add_patch(rect3)
ax.add_patch(circle1)
plt.xlim([-400, 400])
plt.ylim([-400, 400])
plt.show()
产生:
结果是,您需要执行
ax。添加艺术家(矩形)
以使颜色规范正常工作;使用patches.append(矩形)
时,矩形以蓝色显示(至少在我的电脑上),忽略任何颜色规范
顺便说一句,请注意
-用于笔划颜色edgecolor
-用于填充颜色facecolor
color
——它基本上同时设置笔划和填充颜色
下面是我在Linux(Ubuntu 11.04)、python 2.7、matplotlib 0.99.3上测试过的修改后的操作代码:
import matplotlib.pyplot as plt
import matplotlib.collections as collections
import matplotlib.ticker as ticker
import matplotlib
print matplotlib.__version__ # 0.99.3
fig=plt.figure() #pylab.figure()
ax=fig.add_subplot(111)
ax.set_xlim([-400, -380]) #pylab.xlim([-400, 400])
ax.set_ylim([-400, -380]) #pylab.ylim([-400, 400])
patches = []
polygon = plt.Rectangle((-400, -400), 10, 10, color='yellow') #Rectangle((-400, -400), 10, 10, color='y')
patches.append(polygon)
pol2 = plt.Rectangle((-390, -390), 10, 10, facecolor='yellow', edgecolor='violet', linewidth=2.0)
ax.add_artist(pol2)
p = collections.PatchCollection(patches) #, cmap=matplotlib.cm.jet)
ax.add_collection(p)
ax.xaxis.set_major_locator(ticker.MultipleLocator(20)) # (MultipleLocator(20))
ax.yaxis.set_major_locator(ticker.MultipleLocator(20)) # (MultipleLocator(20))
plt.show() #pylab.show()
这是输出:
为了避免调用
。多次添加补丁()
(通常是为了首先使用PatchCollection),您可以通过cmap=
将ListedColormap
传递到PatchCollection
如下所示(修改自):
结果:
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from matplotlib.collections import PatchCollection
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(111)
patches_list = []
color_list = []
patches_list.append(matplotlib.patches.Rectangle((-200,-100), 400, 200))
color_list.append('yellow')
patches_list.append(matplotlib.patches.Rectangle((0,150), 300, 20))
color_list.append('red')
patches_list.append(matplotlib.patches.Rectangle((-300,-50), 40, 200))
color_list.append('#0099FF')
patches_list.append(matplotlib.patches.Circle((-200,-250), radius=90))
color_list.append('#EB70AA')
our_cmap = ListedColormap(color_list)
patches_collection = PatchCollection(patches_list, cmap=our_cmap)
patches_collection.set_array(np.arange(len(patches_list)))
ax.add_collection(patches_collection)
plt.xlim([-400, 400])
plt.ylim([-400, 400])
plt.show()