I have the following dataframe I want to plot. I'm trying to have 2 subplots, one of them with two plots on it (with different y axes and sharing the x)
size = (20,10) fig = plt.figure(figsize=size) ax1 = fig.add_subplot(211) ax2 = fig.add_subplot(212) ax3 = ax2.twinx() # the dataframe is obtained by other means, and has the following format: Date col1 col2 col3 col4 2017-06-30 7813.9291 0.0000 0.0000 0.000000 2017-07-31 8222.1428 0.0000 0.0000 4.964809 2017-08-31 7010.1959 0.0000 0.0000 -17.288346 2017-09-30 5878.8063 0.0000 0.0000 -19.245227 . . . df.iloc[:,0:3].plot.bar(figsize = size, ax = ax3) df.iloc[:,-1].plot(figsize = size, ax = ax2)
The other plot with only one plot in the figure(in ax1) does not give any problems, so I won't post it here.
The problem is, when I run this code, only one the plots remains in the figure, (the last line), and the other just disappears. If I switch the order of the last two lines, then the other plot remains.
Any ideas why is this happening?
EDIT: I'm using a jupyter notebook, with pandas 0.24 and python 3.7