Make more than one chart in same IPython Notebook cell

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.

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']].

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()

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

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