如何为我的杆和楔子添加纹理？

我正在使用绘制几个条形图和饼图matplotlib.pyplot.bar() http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.bar and matplotlib.pyplot.pie() http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.pie。在这两个函数中，我都可以更改条形和楔形的颜色。

但是，我需要以黑白方式打印这些图表。能够在条形和楔形上放置纹理会更有用，类似于Line2D http://matplotlib.org/api/artist_api.html#matplotlib.lines.Line2D标记属性可用于绘制线条。我可以用一致的方式用这些标记填充条形和楔形吗？或者还有其他方法可以实现类似的目标吗？

import matplotlib.pyplot as plt

fig = plt.figure()

patterns = [ "/" , "\\" , "|" , "-" , "+" , "x", "o", "O", ".", "*" ]

ax1 = fig.add_subplot(111)
for i in range(len(patterns)):
    ax1.bar(i, 3, color='red', edgecolor='black', hatch=patterns[i])


plt.show()

它在文档中here https://matplotlib.org/api/_as_gen/matplotlib.patches.Patch.html#matplotlib.patches.Patch.set_hatch.

好的 - 要对饼图进行纹理处理，您需要执行以下操作：

如果你看here http://matplotlib.org/api/pyplot_api.html?highlight=pie#matplotlib.pyplot.pie:

Return value:
If autopct is None, return the tuple (patches, texts):

patches is a sequence of matplotlib.patches.Wedge instances
texts is a list of the label matplotlib.text.Text instances.

那么我们看看Wedges http://matplotlib.org/api/artist_api.html#matplotlib.patches.Wedge页面，并看到它有一个 set_hatch() 方法。

所以我们只需要在饼图演示中添加几行然后......

示例1：

import matplotlib.pyplot as plt

fig = plt.figure()

patterns = [ "/" , "\\" , "|" , "-" , "+" , "x", "o", "O", ".", "*" ]

ax1 = fig.add_subplot(111)
for i in range(len(patterns)):
    ax1.bar(i, 3, color='red', edgecolor='black', hatch=patterns[i])


plt.show()

示例2：

"""
Make a pie chart - see
http://matplotlib.sf.net/matplotlib.pylab.html#-pie for the docstring.

This example shows a basic pie chart with labels optional features,
like autolabeling the percentage, offsetting a slice with "explode",
adding a shadow, and changing the starting angle.

"""

from pylab import *
import math
import numpy as np

patterns = [ "/" , "\\" , "|" , "-" , "+" , "x", "o", "O", ".", "*" ]


def little_pie(breakdown,location,size):
    breakdown = [0] + list(np.cumsum(breakdown)* 1.0 / sum(breakdown))
    for i in xrange(len(breakdown)-1):
        x = [0] + np.cos(np.linspace(2 * math.pi * breakdown[i], 2 * math.pi *    
                          breakdown[i+1], 20)).tolist()
        y = [0] + np.sin(np.linspace(2 * math.pi * breakdown[i], 2 * math.pi * 
                          breakdown[i+1], 20)).tolist()
        xy = zip(x,y)
        scatter( location[0], location[1], marker=(xy,0), s=size, facecolor=
               ['gold','yellow', 'orange', 'red','purple','indigo','violet'][i%7])

figure(1, figsize=(6,6))

little_pie([10,3,7],(1,1),600)
little_pie([10,27,4,8,4,5,6,17,33],(-1,1),800)

fracs = [10, 8, 7, 10]
explode=(0, 0, 0.1, 0)

piechart = pie(fracs, explode=explode, autopct='%1.1f%%')
for i in range(len(piechart[0])):
    piechart[0][i].set_hatch(patterns[(i)%len(patterns)])


show()