我有两个列表,它本身就是列表。我想使用这些列表绘制直方图。
以下是列表:
param_main_list
[['Para_length', 'Question1', 'Answer1', 'Question2', 'Answer2'],
['Para_length', 'Question1', 'Answer1', 'Question2', 'Answer2',
'Question3', 'Answer3', 'Question4', 'Answer4', 'Question5', 'Answer5'],
['Para_length', 'Question1', 'Answer1', 'Question2', 'Answer2',
'Question3', 'Answer3', 'Question4', 'Answer4', 'Question5', 'Answer5'],
['Para_length', 'Question1', 'Answer1', 'Question2', 'Answer2',
'Question3', 'Answer3', 'Question4', 'Answer4', 'Question5', 'Answer5']]
main_list:
[1107, 64, 129, 64, 67]
[1223, 34, 129, 62, 244, 56, 136, 48, 128, 43, 180]
[1345, 47, 96, 63, 241, 79, 97, 82, 108, 62, 134]
[648, 35, 111, 78, 131, 56, 86, 28, 47, 64, 151]
[[1107, 64, 129, 64, 67], [1223, 34, 129, 62, 244, 56, 136, 48, 128, 43,
180], [1345, 47, 96, 63, 241, 79, 97, 82, 108, 62, 134], [648, 35, 111,
78, 131, 56, 86, 28, 47, 64, 151]]
考虑这些直方图从列表中一对一对应,即 param_main_list 的第一个元素和 main_list
的第一个元素我能够打印一个直方图,但是我想分别为每种情况打印多个直方图。我生成的是下面的
上面的代码是:
for index in range(0,len(main_list)):
xpos = np.arange(len(main_list[index]))
plt.xticks(xpos,param_main_list[index])
plt.bar(param_main_list[index],main_list[index])
plt.hist()
这不是重复的,我已经检查了所有解决方案,请为此提供帮助。
答案 0 :(得分:0)
遍历subplot
的轴
%matplotlib inline
import matplotlib.pyplot as plt
x=[['Para_length', 'Question1', 'Answer1', 'Question2', 'Answer2'],
['Para_length', 'Question1', 'Answer1', 'Question2', 'Answer2','Question3', 'Answer3', 'Question4', 'Answer4', 'Question5', 'Answer5'],
['Para_length', 'Question1', 'Answer1', 'Question2', 'Answer2','Question3', 'Answer3', 'Question4', 'Answer4', 'Question5', 'Answer5'],
['Para_length', 'Question1', 'Answer1', 'Question2', 'Answer2','Question3', 'Answer3', 'Question4', 'Answer4', 'Question5', 'Answer5']]
y=[[1107, 64, 129, 64, 67],
[1223, 34, 129, 62, 244, 56, 136, 48, 128, 43, 180],
[1345, 47, 96, 63, 241, 79, 97, 82, 108, 62, 134],
[648, 35, 111, 78, 131, 56, 86, 28, 47, 64, 151]]
fig, axs = plt.subplots(1,4)
for i,ax in enumerate(axs):
ax.bar(x[i],y[i])
ax.set_xticklabels(x[i], rotation=90)
plt.show()