使用for循环分别绘制每个数据框行（在单独的图上）

Question

I have been trying to plot each row of my 265 row dataframe using a for-loop. However, all the code does is it plots all the 265 rows in one single graph, rather than 265 separate graphs, which I am aiming for. Below is my code:

for q in range(265):
    print('This is for row',q)
    row = dataframe.iloc[q].plot()
    row.plot()

Answer 1

Each call to plot() simply adds another artist to the currently opened plot. If you want to save your plots separately, your loop should open a new plot, plot() the graph in it, save it, then close it for each row in the dataframe.

Speaking of which - DataFrames have an iterrows method which will give you direct access to each row so that you don't have to locate by index on every iteration of the loop.

Answer 2

import matplotlib.pyplot as plt
import pandas as pd
dataframe = pd.DataFrame(np.random.randint(0,10,size=(10, 4)), columns=range(4))
for q in range(dataframe.shape[0]):
    print('This is for row',q)
    plt.figure(figsize=(5,5))
    plt.plot(dataframe.iloc[q,:])