I am trying to plot different columns (longitude & latitude ) from different dataframes in one plot. But they are being plotted in different figures separately.
Here is the code I am using
fig,ax=plt.subplots()
cells_final.plot.scatter(x='lon',y='lat')
data_rupture.plot.scatter(x='Longitude',y='Latitude',color='red')
plt.show()
How can I plot this in one single figure?
Use the axes instance (ax) created by
fig, ax = plt.subplots()
And pass it as the ax parameter of pandas.DataFrame.plot,
fig,ax=plt.subplots()
cells_final.plot.scatter(x='lon',y='lat', ax=ax)
data_rupture.plot.scatter(x='Longitude',y='Latitude',color='red', ax=ax)
plt.show()
Or if you'd rather have the plots on different subplots in the same figure you can create multiple axes
fig, (ax1, ax2) = plt.subplots(1, 2)
cells_final.plot.scatter(x='lon',y='lat', ax=ax1)
data_rupture.plot.scatter(x='Longitude',y='Latitude',color='red', ax=ax2)
plt.show()
You need specify the axis:
fig,ax=plt.subplots(1,2, figsize=(12, 8))
cells_final.plot.scatter(x='lon',y='lat', ax=ax=[0])
data_rupture.plot.scatter(x='Longitude',y='Latitude',color='red', ax=ax[1])
plt.show()
Thanks @William Miller.......!
