I want to plot two pandas dataframes side by side, each plot should be in subplot form. I am using following lines:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# create dummy pandas dataframes
pd1 = pd.DataFrame({'a':np.random.random(22),'b':np.random.random(22),'c':np.random.random(22)})
pd2 = pd.DataFrame({'J':np.random.random(22),'K':np.random.random(22),'P':np.random.random(22)})
#create subplot figure with having two side by side plots
fig, axes = plt.subplots(nrows=1,ncols=2,figsize=(12,6))
# plot first pandas frame in subplot style
pd1.plot(ax = axes[0],subplots=True)
# plot second pandas frame in subplot style
pd2.plot(ax = axes[1],subplots=True)
Without subplot option, side by side plots are drawn but I want in subplot style. Is there any other option to get it done?
You need a subplot grid of 3 rows and 2 columns to host your plot. Then the ax
argument needs to take the 3 axes you want to plot the 3 dataframe columns to.
fig, axes = plt.subplots(nrows=3,ncols=2)
pd1.plot(ax = axes[:,0], subplots=True)
pd2.plot(ax = axes[:,1], subplots=True)
Complete code:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# create dummy pandas dataframes
pd1 = pd.DataFrame({'a':np.random.random(22),'b':np.random.random(22),
'c':np.random.random(22)})
pd2 = pd.DataFrame({'J':np.random.random(22),'K':np.random.random(22),
'P':np.random.random(22)})
#create subplot figure with having two side by side plots
fig, axes = plt.subplots(nrows=3,ncols=2,figsize=(12,6))
# plot first pandas frame in subplot style
pd1.plot(ax = axes[:,0],subplots=True)
# plot second pandas frame in subplot style
pd2.plot(ax = axes[:,1],subplots=True)
plt.show()
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