我們先來看一個結果圖
看到這個圖,我個人的思路是
1 設置標題
import numpy as np import matplotlib.pyplot as plt plt.title('Scores by group and gender')
2 x坐標的間隔設置和文字設置
N = 13 ind = np.arange(N) #[ 0 1 2 3 4 5 6 7 8 9 10 11 12] plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5', 'G6', 'G7', 'G8', 'G9', 'G10', 'G11', 'G12', 'G13'))
3 y坐標的文字設置和間隔設置
plt.yticks(np.arange(0, 81, 20)) #0到81 間隔20 plt.ylabel('Scores')
4 開始繪制主題條形圖
Bottom = (52, 49, 48, 47, 44, 43, 41, 41, 40, 38, 36, 31, 29) Center = (38, 40, 45, 42, 48, 51, 53, 54, 57, 59, 57, 64, 62) Top = (10, 11, 7, 11, 8, 6, 6, 5, 3, 3, 7, 5, 9) d = [] for i in range(0, len(Bottom)): sum = Bottom[i] + Center[i] d.append(sum) width = 0.35 # 設置條形圖一個長條的寬度 p1 = plt.bar(ind, Bottom, width, color='blue') p2 = plt.bar(ind, Center, width, bottom=Bottom,color='green') #在p1的基礎上繪制,底部數據就是p1的數據 p3 = plt.bar(ind, Top, width, bottom=d,color='red') #在p1和p2的基礎上繪制,底部數據就是p1和p2
5 設置legend區分三部分數據
plt.legend((p1[0], p2[0], p3[0]), ('Bottom', 'Center', 'Top'),loc = 3) #loc=3 表示lower left 也就是底部最左
loc的設置參數
'best' : 0, (only implemented for axes legends)(自適應方式) 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4, 'right' : 5, 'center left' : 6, 'center right' : 7, 'lower center' : 8, 'upper center' : 9, 'center' : 10,
6 繪制出圖形
plt.show()
7 最終代碼為:
import numpy as np import matplotlib.pyplot as plt plt.title('Scores by group and gender') N = 13 ind = np.arange(N) #[ 0 1 2 3 4 5 6 7 8 9 10 11 12] plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5', 'G6', 'G7', 'G8', 'G9', 'G10', 'G11', 'G12', 'G13')) plt.ylabel('Scores') plt.yticks(np.arange(0, 81, 20)) Bottom = (52, 49, 48, 47, 44, 43, 41, 41, 40, 38, 36, 31, 29) Center = (38, 40, 45, 42, 48, 51, 53, 54, 57, 59, 57, 64, 62) Top = (10, 11, 7, 11, 8, 6, 6, 5, 3, 3, 7, 5, 9) d = [] for i in range(0, len(Bottom)): sum = Bottom[i] + Center[i] d.append(sum) width = 0.35 # 設置條形圖一個長條的寬度 p1 = plt.bar(ind, Bottom, width, color='blue') p2 = plt.bar(ind, Center, width, bottom=Bottom,color='green') p3 = plt.bar(ind, Top, width, bottom=d,color='red') plt.legend((p1[0], p2[0], p3[0]), ('Bottom', 'Center', 'Top'),loc = 3) plt.show()