In the graph, use the Python ML value in exp instead of an integer or float

Question

y_test=np.array(y_test)
y_pred=np.array(y_pred)
plt.scatter(y_test,y_pred,color='red')
plt.xlabel('Actual Values')
plt.ylabel('Prediction Values')
plt.title('Actual vs Predicted')

I have tried the above code and have got the below graph.

![enter image description here][1]

The graph axis values are coming in exp form. How to correct that? enter image description here

Does this answer your question? [Is ticklabel\_format broken?](https://stackoverflow.com/questions/18209462/is-ticklabel-format-broken) — Mouse, Aug 08 '22 at 17:48
@Mouse I have tried the tick label format but there is no change in the graph I have attached the new photo in the question — Sparsh Maheshwari, Aug 08 '22 at 19:45

score 0 · Answer 1 · answered Aug 08 '22 at 21:58

You may need to explicitly set the axis labels to the number format you need using scientific notation if you are not okay with the format provided by default. Link here. A sample example is shown below. You will need to adjust scilimits to indicate how many digits you want to see in the plot.

x=[2000000, 4000000, 6000000, 8000000]
y=[2000000, 4000000, 6000000, 8000000]
plt.scatter(x, y, c='red')
plt.ticklabel_format(style='sci', axis='both', scilimits=(5,7))
plt.show()

In the graph, use the Python ML value in exp instead of an integer or float

1 Answers1