Draw pandas dataplot and mathlib data plot overlaying with eachother

Question

plt.figure()
mu = 0
variance = 1
sigma = math.sqrt(variance)
x = np.linspace(0, 2, 100)
plt.plot(x,mlab.normpdf(x, mu, sigma))
plt.show()
movieRates.plot.hist(stacked=True)

This is what I am trying out but it does not work it gives me a figure 1 and a figure 2. I tried to find an answer but I could not really get anything out of the other examples since they were different from mine. What I am trying to achieve is to show that the movieRates have a normal distribution. That is why I'd like to join those figures together. But I had no luck untill now.

You want to overlay the plots. There are many answers that deal with this. stackoverflow.com/questions/31104867/… — Shawn Mehan
– Shawn Mehan, Commented Apr 11, 2017 at 22:19
Possible duplicate of How to superimpose figures in matplotlib — Shawn Mehan
– Shawn Mehan, Commented Apr 11, 2017 at 22:20
@ShawnMehan yes I have been looking at them but did not know what fig or ax means that is why I did not know how to do that in my case — TenebrisNocte
– TenebrisNocte, Commented Apr 11, 2017 at 22:22
@ShawnMehan I also have a pandas plot so idk how to do ax.plot() with pandas — TenebrisNocte
– TenebrisNocte, Commented Apr 11, 2017 at 22:24
"read the source". Always, always, always. You will answer your own questions and learn so much more. — Grr
– Grr, Commented Apr 11, 2017 at 22:38

Scott Boston · Accepted Answer · 2017-04-12 02:17:43Z

1

Let's use plt.gca() and then use the ax argument of pandas plot.

plt.figure()
mu = 0
variance = 1
sigma = math.sqrt(variance)
x = np.linspace(0, 2, 100)
plt.plot(x,mlab.normpdf(x, mu, sigma))
ax = plt.gca()
movieRates.plot.hist(stacked=True,ax=ax)
plt.show()

answered Apr 12, 2017 at 2:17

Scott Boston

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1 Comment

TenebrisNocte Over a year ago

thanks a lot :D I just did not knew where to put the ax in pandas

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