当我运行来自 google colab w3school 的以下 python 代码时，我得到了“AttributeError: 'OutStream' object has no attribute 'buffer'”

Question

Here I mention the code that I saw in the w3school.

    # w3school code
import sys
import matplotlib
matplotlib.use('Agg')

import pandas as pd
import matplotlib.pyplot as plt

health_data = pd.read_csv("data.csv", header=0, sep=",")

health_data.plot(x ='Average_Pulse', y='Calorie_Burnage', kind='line'),
plt.ylim(ymin=0, ymax=400)
plt.xlim(xmin=0, xmax=150)

plt.show()

#Two  lines to make our compiler able to draw:
plt.savefig(sys.stdout.buffer)
sys.stdout.flush()

And I got the error (AttributeError: 'OutStream' object has no attribute 'buffer') if I performed the above operation on Kaggle dataset in google colab via using the below code.

 #Three lines to make our compiler able to draw:
import sys
import matplotlib
matplotlib.use('Agg')

import pandas as pd
import matplotlib.pyplot as plt

health_data = pd.read_csv("/content/drive/MyDrive/India_GDP_Data.csv", header=0, sep=",")

health_data.plot(x ='Year', y='GDP_In_Billion_USD', kind='line'),
plt.ylim(ymin=0, ymax=400)
plt.xlim(xmin=0, xmax=150)

plt.show()

#Two  lines to make our compiler able to draw:
plt.savefig(sys.stdout.buffer)
sys.stdout.flush()

Answer 1

I had this same issue on W3schools as well!

Use matplotlib inline in you notebook like this:

%matplotlib inline

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('data.csv')

df.plot()

plt.show()

sys.stdout.flush()