I am plotting the accuracy and loss figures. I am getting the following plot that represents 3 places after 0 like 0.XXX I aim to present only one like 0.X

how can I fix this

acc = history.history['accuracy']
acc_val = history.history['val_accuracy']
epochs = range(len(acc))
plt.title('Training and Validation accuracy')
plt.xlabel('Epochs')
plt.ylabel('accuracy')
plt.legend()
plt.show()

accuracy figure

CodePudding user response：

Your problem can be solved by rounding the accuracy values. You can do this this simply with the built-in round() function:

acc = [round(i, 1) for i in history.history['accuracy']]

or using the map() function:

acc = list(map(lambda x: round(x, 1), history.history['accuracy']))

CodePudding user response：

I think you are looking for this: https://matplotlib.org/stable/api/ticker_api.html

ax.xaxis.set_major_formatter(FormatStrFormatter('%.3f'))

Edit: regarding to your example, to get axis take a loog here: How to get a matplotlib Axes instance to plot to?

ax = plt.gca()