这篇文章主要介绍“怎么用python画条形图”，在日常操作中，相信很多人在怎么用python画条形图问题上存在疑惑，小编查阅了各式资料，整理出简单好用的操作方法，希望对大家解答”怎么用python画条形图”的疑惑有所帮助！接下来，请跟着小编一起来学习吧！
在做毕设的过程中有些数据用表格来展现，会很难看出数据之间的差别，凸显不出数据的特点，所以想制作一个条形图，这里特地记录下，已备以后用到。
import numpy as npimport matplotlib.pyplot as pltimport matplotlib#指定默认字体matplotlib.rcParams['font.sans-serif'] = ['FangSong']matplotlib.rcParams['font.family']='sans-serif' c101= (8,7,3,7,10,4,11,8,11,10,8,9)c102= (21,21,24,25,16,17,11,24,24,25,36,33)c103= (4,4,10,3,9,8,12,2,4,5,2,6)c104= (1,5,1,3,2,3,3,3,6,5,1,0)c105= (3,1,0,1,3,3,1,2,0,0,0,0)c106= (1,2,0,0,1,1,0,0,1,1,0,0)c107= (1,0,1,0,0,1,0,0,0,0,0,0)c108= (0,1,0,0,0,2,1,1,0,1,0,0)c109= (1,0,1,1,0,0,1,1,0,0,0,0) ind = np.arange(0,24,2) # the x locations for the groupswidth = 0.2 # the width of the bars fig,ax = plt.subplots()rects1 = ax.bar(ind + width, c101, width, color='SkyBlue',align='edge', label='101')rects2 = ax.bar(ind + 2*width, c102, width,color='IndianRed',align='edge', label='102')rects3 = ax.bar(ind + 3*width, c103, width, color='Cyan',align='edge', label='103')rects4 = ax.bar(ind + 4*width, c104, width, color='Magenta',align='edge', label='104')rects5 = ax.bar(ind + 5*width, c105, width, color='Purple',align='edge', label='105')rects6 = ax.bar(ind + 6*width, c106, width, color='Green',align='edge', label='106')rects7 = ax.bar(ind + 7*width, c107, width, color='Yellow',align='edge', label='107')rects8 = ax.bar(ind + 8*width, c108, width, color='Blue',align='edge', label='108')rects9 = ax.bar(ind + 9*width, c109, width, color='Orange',align='edge', label='109') # Add some text for labels, title and custom x-axis tick labels, etc.#ax.set_title('Scores by group and gender')plt.xticks(ind,('1班', '2班', '3班', '4班', '5班','6班','7班','8班','9班','10班','11班','12班'))ax.legend(loc='upper center') plt.show()fig.savefig('./test77.jpg')
竖起来的
%matplotlib notebookimport matplotlib.pyplot as pltimport pandas as pdimport numpy as npimport seaborn as snsimport matplotlib#指定默认字体matplotlib.rcParams['font.sans-serif'] = ['FangSong']matplotlib.rcParams['font.family']='sans-serif'#解决负号'-'显示为方块的问题matplotlib.rcParams['axes.unicode_minus'] = Falsedata = [[8, 21, 4, 1, 3, 1, 1, 0, 1], [7,21,4,5,1,2,0,1,0], [3,24,10,1,0,0,1,0,1], [7,25,3,3,1,0,0,0,1], [10,16,9,2,3,1,0,0,0], [4,17,8,3,3,1,1,2,0], [11,11,12,3,1,0,0,1,1], [8,24,2,3,2,0,0,1,1], [11,24,4,6,0,1,0,0,0], [10,25,5,5,0,1,0,1,0], [8,36,2,1,0,0,0,0], [9,33,6,0,0,0,0,0]]df = pd.DataFrame(data, index=['1班','2班','3班','4班','5班','6班','7班','8班','9班','10班','11班','12班'], columns=pd.Index(['101','102','103','104','105','106','107','108','109']), )df.plot(kind='barh',figsize=(5,8)) plt.show()#fig.savefig('./test2.jpg')
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