matplotlib子图-IndexError:数组的索引过多 [英] matplotlib subplots - IndexError: too many indices for array

问题描述

我正在使用 subplots 函数将8列绘制到一个图形中.但是，它显示

I'm plotting 8 columns into one figure by using subplots function. However, it shows

"IndexError:数组的索引过多"

"IndexError: too many indices for array"

# -*- coding: utf-8 -*-
import pandas as pd
from matplotlib import pyplot as plt
from matplotlib import style

df = pd.read_csv('XXXX', encoding='utf-8')

num = 0

for dim in ['A','B','C','D','E','F','G','H']:
    fig, axes = plt.subplots(nrows=8, ncols=1)
    df[dim].plot(ax=axes[num,0])
    plt.xlabel(dim)
    num += 1

plt.show()

推荐答案

你的代码有两个问题:

• 首先，您要在for循环中定义 subplots()，这是错误的.你应该只在外面定义一次.
• 第二，您需要使用 axes [num] 而不是 axes [num，0] 来引用特定的子图，因为您只有一列，这就是为什么你得到 >IndexError .如果您有多于1列，则索引 axes [num，0] ， axes [num，1] 等将起作用.

• First, you are defining the subplots() inside the for loop which is wrong. You should define it just once outside.
• Second, you need to use axes[num] instead of axes[num, 0] to refer to a particular subplot since you are having only a single column which is why you get the > IndexError. The indexing axes[num, 0], axes[num, 1] etc. will work if you have more than 1 column.

解决方案

# import commands here 

df = pd.read_csv('XXXX', encoding='utf-8')
num = 0

fig, axes = plt.subplots(nrows=8, ncols=1) # <---moved outside for loop

for dim in ['A','B','C','D','E','F','G','H']:
    df[dim].plot(ax=axes[num])
    plt.xlabel(dim)
    num += 1
plt.show()

<小时>

替代使用 enumerate 摆脱 num 变量

fig, axes = plt.subplots(nrows=8, ncols=1)

for i, dim in enumerate(['A','B','C','D','E','F','G','H']):
    df[dim].plot(ax=axes[i])
    plt.xlabel(dim)
plt.show()

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