使用 Matplotlib 为每行数据绘制多个条形图

Question

我有一个如下所示的数据框：

PNO,SID,SIZE,N3IC,S4IC,N4TC,KPAC,NAAC,ECTC
SJV026,VIDAIC,FINE,0.0926,0.0446,0.0333,0.0185,0.005,0.0516
SJV028,CHCRUC,FINE,0,0.1472,0.0076,0.0001,0.0025,0.0301
SJV051,AMSUL,FINE,0,0.727,0.273,0,0,0
SJV035,MOVES1,FINE,0.02,0.04092,0,0,0,0.45404

我希望使用 matplotlib 或 seaborn 绘制此图，其中每行数据将有 'n' 个子图（即每行数据一个条形图）。

import matplotlib.pyplot as plt
import pandas as pd
from tkinter.filedialog import askopenfilename
Inp_Filename = askopenfilename()
df = pd.read_csv(Inp_Filename)
rows, columns = df.shape
fig, axes = plt.subplots(rows, 1, figsize=(15, 20))

count = 0
for each in df.iterrows():
    row = df.iloc[count,3:]
    row.plot(kind='bar')

    count = count + 1

plt.show()

上面的代码输出不是我要找的。有没有办法绘制上面'fig'和'axes'中的每一行数据？

Answer 1

原则上该方法是正确的。您的代码中只有几个错误，在更正后会给出所需的结果。

import io
import matplotlib.pyplot as plt
import pandas as pd

u = u"""PNO,SID,SIZE,N3IC,S4IC,N4TC,KPAC,NAAC,ECTC
SJV026,VIDAIC,FINE,0.0926,0.0446,0.0333,0.0185,0.005,0.0516
SJV028,CHCRUC,FINE,0,0.1472,0.0076,0.0001,0.0025,0.0301
SJV051,AMSUL,FINE,0,0.727,0.273,0,0,0
SJV035,MOVES1,FINE,0.02,0.04092,0,0,0,0.45404"""

df = pd.read_csv(io.StringIO(u))
rows, columns = df.shape
fig, axes = plt.subplots(rows, 1, sharex=True, sharey=True)


for i, r in df.iterrows():
    row = df.iloc[i,3:]
    row.plot(kind='bar', ax=axes[i])

plt.show()

使用 Matplotlib 为每行数据绘制多个条形图

Multiple Bar plots for each row data using Matplotlib

python

plot

matplotlib

seaborn