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我正在处理一个范围非常大的图表，我发现条形图偏离了轴。我怎样才能阻止这个？这是我在教程中编写的一个示例，因为我的数据是从大量文件中读取的。这说明了我遇到的问题。我给出了标准，意味着像我的数据一样的大范围。

import numpy as np
import matplotlib.pyplot as plt

N = 5
menMeans = (20, 35, 30, 35, 27,43,444,44)
menStd =   (2, 3, 4, 1, 2,43,4,33)

ind = np.arange(8)  # the x locations for the groups
width = 0.35       # the width of the bars

fig = plt.figure()
ax = fig.add_subplot(111)
rects1 = ax.bar(ind, menMeans, width, color='r', yerr=menStd)

womenMeans = (25, 32, 34, 25,322,3,443,3)
womenStd =   (3, 5, 2, 3, 3,32,33,322)
rects2 = ax.bar(ind+width, womenMeans, width, color='y', yerr=womenStd)

# add some
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(ind+width)
ax.set_xticklabels( ('G1', 'G2', 'G3', 'G4', 'G5','K','K','Z') )

ax.legend( (rects1[0], rects2[0]), ('Men', 'Women') )

def autolabel(rects):
    # attach some text labels
    for rect in rects:
        height = rect.get_height()
        ax.text(rect.get_x()+rect.get_width()/2., 1.05*height, '%d'%int(height),
                ha='center', va='bottom')

autolabel(rects1)
autolabel(rects2)

plt.show()
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1 回答 1

2

只需在 y 轴上添加限制：

import numpy as np
import matplotlib.pyplot as plt

N = 5
menMeans = (20, 35, 30, 35, 27,43,444,44)
menStd =   (2, 3, 4, 1, 2,43,4,33)

ind = np.arange(8)  # the x locations for the groups
width = 0.35       # the width of the bars

fig = plt.figure()
ax = fig.add_subplot(111)
rects1 = ax.bar(ind, menMeans, width, color='r', yerr=menStd)

womenMeans = (25, 32, 34, 25,322,3,443,3)
womenStd =   (3, 5, 2, 3, 3,32,33,322)
rects2 = ax.bar(ind+width, womenMeans, width, color='y', yerr=womenStd)

# add some
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(ind+width)
ax.set_xticklabels( ('G1', 'G2', 'G3', 'G4', 'G5','K','K','Z') )

ax.legend( (rects1[0], rects2[0]), ('Men', 'Women') )
ax.set_ylim(0)

def autolabel(rects):
    # attach some text labels
    for rect in rects:
        height = rect.get_height()
        ax.text(rect.get_x()+rect.get_width()/2., 1.05*height, '%d'%int(height),
                ha='center', va='bottom')

autolabel(rects1)
autolabel(rects2)

plt.show()

这条线ax.set_ylim(0)可以解决问题。

于 2012-04-27T16:14:16.237 回答