多条曲线使用Matplotlib

Question

我有一个数据帧的每一行数据：

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 

我期待绘制该使用matplotlib或seaborn哪里会有“N”的次要情节的数量为每行的数据（即每行数据的一个条形图）。

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正在寻找的。有没有办法在上面的'无花果'和'轴'中绘制每行数据？

Answer 1

原则上这种方法是正确的。在你的代码中只有几个错误，这些错误在纠正时会给出所需的结果。

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()