Matplotlib plotting multiple datasets on same figure using setxticks python

Question

Hey there I'm pretty new to using matplotlib and am trying to plot multiple datasets on the same figure, like so:

graph_df_pivot = df1.pivot_table(index='source_dt', values='num_rws', fill_value=0)
graph_df_pivot2 = df2.pivot_table(index='source_dt', values='num_rws', fill_value=0)
ax = graph_df_pivot.plot(kind='line', figsize=(20, 5), grid=True, title='')  # , use_index=True)
ax.set_xticks(range(0, len(graph_df_pivot.index.tolist())))
ax.set_xticklabels([str(i) for i in graph_df_pivot.index.tolist()], rotation=90)
ax.set_xticks(range(0, len(graph_df_pivot2.index.tolist())))
ax.set_xticklabels([str(i) for i in graph_df_pivot2.index.tolist()], rotation=90)
plt.show()

This is only plotting the data from the first dataset and the second is being overlooked. Any help would be greatly appreciated!

I don't see any plot command for the second dataset in your code?! — Stef
– Stef, Commented Jun 24, 2020 at 19:14
Thanks for the comment! I added a plot command however now I'm getting a second new graph rather than one graph with both data sets. I added code graph_df_pivot2.plot(kind='line', figsize=(20,5), grid=True, title='')#, use_index=True code — Mitchell Markoff
– Mitchell Markoff, Commented Jun 25, 2020 at 16:36

Stef · Accepted Answer · 2020-06-26 06:48:23Z

1

Each plot command by default creates a new Axes unless you pass an existing Axes object to plot on with the ax parameter:

ax = graph_df_pivot.plot(kind='line', figsize=(20, 5), grid=True, title='') 
graph_df_pivot2.plot(kind='line', ax=ax)

answered Jun 26, 2020 at 6:48

Stef

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