Plot multiple data on each plot in series of subplots using for loop

Question

I am trying to plot wind speed and wind direction for multiple levels on one large series of subplots using plt.subplots().

I have:

fig, axes=plt.subplots(n=levels,figsize=(20,30),sharex=True)
for i in range(levels):
     axes[i].plot(time,wind_speed[:,i])

How can I add the second y-axis on each subplot so I can plot wind speed and wind direction on the same plot for each level? I don't understand how do add a second axis second axes cannot be enumerated this way.

Each plot will have the same x-axis, but wind speed on a line plot (left y-axis) and wind direction as dots (right y-axis). twinx would work but Python does not like twinx when using iteration in a for loop.

I tried axes[0][i]=axes[i].twinx I also tried to do a another nested for loop with for j... to do axes[j]=axes[i].twinx. None of this worked.

Please unlock my question. The one you called a "duplicate" is nothing like I am asking. It has only thing plotted on each plot and I am asking about 2 datasets per plot. Please unlock. — Jonathon, Apr 21 '20 at 13:24
Is your question about how to [`twinx`](https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.axes.Axes.twinx.html)? — BigBen, Apr 21 '20 at 13:27
Yes. I have tried twinx on this in several ways but cannot figure how to do it with the for loop I have. — Jonathon, Apr 21 '20 at 13:27
Please can you share a small example and describe the expected output? — yatu, Apr 21 '20 at 13:27
"twinx would work but Python does not like twinx when using iteration in a for loop." What makes you say that? Can you post the corresponding code? — Keldorn, Apr 21 '20 at 13:41

CAPSLOCK · Accepted Answer · 2020-04-21T13:41:21.283

1

With no info and limited understanding of your problem but I guess this might do:

the input argument: sharex = True allows you to keep the same axis across subplots.

My understanding is that within one plot you want a left and right y-axis:


fig, axes=plt.subplots(n=levels,figsize=(20,30),sharex=True)
for i in range(levels):
     axes[i].plot(time, wind_speed[:, i])
     ax2 = axes[i].twinx()
     ax2.plot(time, wind_direction[:, i])

edited Apr 21 '20 at 13:41

answered Apr 21 '20 at 13:35

CAPSLOCK

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Thank you. I thought all "axes" had to have a [i] iteration but I guess I was overthinking – Jonathon Apr 21 '20 at 13:42
2

no prob. you are welcome. Next time try to post a small example of your data, you'd have had an answer in a sec from one of the other users. – CAPSLOCK Apr 21 '20 at 13:43

Plot multiple data on each plot in series of subplots using for loop

1 Answers1