Make more than one chart in same IPython Notebook cell

Question

I have started my IPython Notebook with

ipython notebook --pylab inline

This is my code in one cell

df['korisnika'].plot()
df['osiguranika'].plot()

This is working fine, it will draw two lines, but on the same chart.

I would like to draw each line on a separate chart. And it would be great if the charts would be next to each other, not one after the other.

I know that I can put the second line in the next cell, and then I would get two charts. But I would like the charts close to each other, because they represent the same logical unit.

Answer 1

Make the multiple axes first and pass them to the Pandas plot function, like:

fig, axs = plt.subplots(1,2)

df['korisnika'].plot(ax=axs[0])
df['osiguranika'].plot(ax=axs[1])

It still gives you 1 figure, but with two different plots next to each other.

Answer 2

You can also call the show() function after each plot. e.g

   plt.plot(a)
   plt.show()
   plt.plot(b)
   plt.show()

Answer 3

Another way, for variety. Although this is somewhat less flexible than the others. Unfortunately, the graphs appear one above the other, rather than side-by-side, which you did request in your original question. But it is very concise.

df.plot(subplots=True)

If the dataframe has more than the two series, and you only want to plot those two, you'll need to replace df with df[['korisnika','osiguranika']].

Answer 4

Something like this:

import matplotlib.pyplot as plt
... code for plot 1 ...
plt.show()
... code for plot 2...
plt.show()

Note that this will also work if you are using the seaborn package for plotting:

import matplotlib.pyplot as plt
import seaborn as sns
sns.barplot(... code for plot 1 ...) # plot 1
plt.show()
sns.barplot(... code for plot 2 ...) # plot 2
plt.show()

Answer 5

I don't know if this is new functionality, but this will plot on separate figures:

df.plot(y='korisnika')
df.plot(y='osiguranika')

while this will plot on the same figure: (just like the code in the op)

df.plot(y=['korisnika','osiguranika'])

I found this question because I was using the former method and wanted them to plot on the same figure, so your question was actually my answer.