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有人可以張貼一個繪圖到一個圖上的圖像的例子,他們都是barcharts。 每個人都應該是這樣的一個位置: http://matplotlib.org/examples/api/barchart_demo.htmlMatplotlib多功能條形圖
的問題,這個例子中,它並沒有告訴怎麼另一個圖表添加到它,如果,如何設置他們每個人的配置。
有人可以張貼一個繪圖到一個圖上的圖像的例子,他們都是barcharts。 每個人都應該是這樣的一個位置: http://matplotlib.org/examples/api/barchart_demo.htmlMatplotlib多功能條形圖
的問題,這個例子中,它並沒有告訴怎麼另一個圖表添加到它,如果,如何設置他們每個人的配置。
您應該使用fig = plt.figure(),然後添加兩個子圖ax = fig.add_subplot(2,2,1)和ax2 = fig.add_subplot(2,2,2)。之後,你可以用ax和ax2做所有事情。
一種改性從參考例如:
import numpy as np
import matplotlib.pyplot as plt
N = 5
menMeans = (20, 35, 30, 35, 27)
menStd = (2, 3, 4, 1, 2)
ind = np.arange(N) # the x locations for the groups
width = 0.35 # the width of the bars
fig = plt.figure()
ax = fig.add_subplot(2,2,1)
rects1 = ax.bar(ind, menMeans, width, color='r', yerr=menStd)
womenMeans = (25, 32, 34, 20, 25)
womenStd = (3, 5, 2, 3, 3)
rects2 = ax.bar(ind+width, womenMeans, width, color='y', yerr=womenStd)
# add some text for labels, title and axes ticks
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'))
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)
ax2 = fig.add_subplot(2,2,2)
rects3 = ax2.bar(ind, menMeans, width, color='r', yerr=menStd)
womenMeans = (20, 32, 34, 20, 25)
womenStd = (3, 7, 2, 3, 3)
rects4 = ax2.bar(ind+width, womenMeans, width, color='y', yerr=womenStd)
ax2.set_ylabel('Scores_2')
ax2.set_title('Scores by group and gender_2')
ax2.set_xticks(ind+width)
ax2.set_xticklabels(('G1_2', 'G2_2', 'G3_2', 'G4_2', 'G5_2'))
ax2.legend((rects1[0], rects2[0]), ('Men_2', 'Women_2'))
def autolabel(rects):
# attach some text labels
for rect in rects:
height = rect.get_height()
ax2.text(rect.get_x()+rect.get_width()/2., 1.05*height, '%d'%int(height),
ha='center', va='bottom')
autolabel(rects3)
autolabel(rects4)
plt.show()