如何基于文本文件绘制训练和验证损失以及准确性

Question

I am running experiments using keras on a remote server through ssh, which does not me allow to plot anything on the screen.

I have a text file which I saved the training and validation loss and accuracy. I am quite newbie on plotting values from a file. How can I do that with Python?

Ps I: The full file can be found here . It looks like this

epoch,acc,loss,lr,val_acc,val_loss 0,0.98254053473639,0.22349346622241112,0.001,0.9660620203871263,0.1419218496403809 1,0.991044776119403,0.06417229526104123,0.001,0.9958764657866986,0.047694865757175145 2,0.9928579098341795,0.04990571241149974,0.001,0.9843434560371118,0.08517235491136826 ...

Ps II: I want to plot the data in this file like in this site

Answer 1

You can use pandas for this. Read the description to plot the exact data configuration you need.

import pandas as pd
import matplotlib.pyplot as plt

file = pd.read_csv('test.txt')
plot = file.plot.line('loss')

plt.show()

https://pandas.pydata.org/pandas-docs/version/0.23/generated/pandas.DataFrame.plot.line.html

Answer 2

I solved the problem using Sharky's suggestion. Here is my code:

import pandas as pd
import matplotlib.pyplot as plt

file = pd.read_csv('text_filename.txt')
lines = file.plot.line(x='epoch', y=['acc', 'val_acc'])
plt.title('CNN learning curves')
plt.ylabel('Accuracy')
plt.xlabel('Epoch')
plt.legend(['training', 'validation'], loc='lower right')
plt.show()