python畫條形圖實例
更新時間:2022年04月20日 16:29:22 作者:水澤木蘭@野蠻生長
這篇文章主要為大家詳細(xì)介紹了python畫條形圖實例,文中示例代碼介紹的非常詳細(xì),具有一定的參考價值,感興趣的小伙伴們可以參考一下
本文實例為大家分享了python畫條形圖的具體代碼,供大家參考,具體內(nèi)容如下
在做畢設(shè)的過程中有些數(shù)據(jù)用表格來展現(xiàn),會很難看出數(shù)據(jù)之間的差別,凸顯不出數(shù)據(jù)的特點,所以想制作一個條形圖,這里特地記錄下,已備以后用到。
import numpy as np import matplotlib.pyplot as plt import matplotlib #指定默認(rèn)字體 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 groups width = 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')
豎起來的
%matplotlib notebook import matplotlib.pyplot as plt import pandas as pd import numpy as np import seaborn as sns import matplotlib #指定默認(rèn)字體 matplotlib.rcParams['font.sans-serif'] = ['FangSong'] matplotlib.rcParams['font.family']='sans-serif' #解決負(fù)號'-'顯示為方塊的問題 matplotlib.rcParams['axes.unicode_minus'] = False data = [[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')
以上就是本文的全部內(nèi)容,希望對大家的學(xué)習(xí)有所幫助,也希望大家多多支持腳本之家。
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