Matplotlib plot multiple lines not working

Question

When I try to dispaly LSTM and RNN models prediction results with the following code:

plt.figure(figsize=(5, 3))

plt.plot(y_test, c="orange", linewidth=3, label="Original values")
plt.plot(lstm_pred, c="red", linewidth=3, label="LSTM predictions")
plt.plot(rnn_pred, alpha=0.5, c="green", linewidth=3, label="RNN predictions")
plt.legend()
plt.xticks(rotation=45)
plt.title("Predictions vs actual data", fontsize=20)
plt.show()

If I plot them one by one, the lines are displayed correctly.

But display all lines in one plot, the lines don't display correctly. Someone knows how to fix it? Thanks.

The data is displaying properly - the magnitude of the values in the red data is just way larger than that of the other data. — CDJB
– CDJB, Commented Nov 25, 2019 at 11:23

ah bon · Accepted Answer · 2022-04-05 11:57:20Z

4

As mentioned in the comments you need to create a second Y axis. Then you need to merge the legend together

fig, ax1 = plt.subplots()

line1 = ax1.plot(y_test, c="orange", linewidth=3, label="Original values")
line2 = ax1.plot(rnn_pred, alpha=0.5, c="green", linewidth=3, label="RNN predictions")
plt.xticks(rotation=45)
ax2 = ax1.twinx()  # instantiate a second axes that shares the same x-axis
line3 = ax2.plot(lstm_pred, c="red", linewidth=3, label="LSTM predictions")

# added these three lines
lines = line1+line2+line3
labels = [l.get_label() for l in lines]
ax.legend(lns, labels)

plt.title("Predictions vs actual data", fontsize=20)
plt.show()

edited Apr 5, 2022 at 11:57

ah bon

10.1k22 gold badges82 silver badges184 bronze badges

answered Nov 25, 2019 at 11:51

CAPSLOCK

6,5233 gold badges38 silver badges60 bronze badges

Sign up to request clarification or add additional context in comments.

Collectives™ on Stack Overflow

Matplotlib plot multiple lines not working

1 Answer 1

Comments

Your Answer

Linked

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

Comments

Your Answer

Sign up or log in

Post as a guest

Linked

Related