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A very simple question regarding spacing the matplotlib subplots, despite multiple iterations on plt.tight_layout or plt.subplots_adjust. I am still not able to bring the right space between the subplots

Following is a sample python code

import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline


dict1 = 'importance': 'var1': 67.18,'var2': 50.33,'var3': 29.33,
 'var4': 27.17, 'var5': 24.880

dict2 = 'importance': 'var3': 50.18,'var1': 30.33,'var2': 29.33,
 'var4': 24.17, 'var5': 7.880


df1 = pd.DataFrame.from_dict(dict1)
df2 = pd.DataFrame.from_dict(dict2)


fig, (ax1, ax2) = plt.subplots(1,2)
fig = plt.figure(figsize=(60,60))
fig.subplots_adjust(wspace=10)
df1.plot(kind = 'barh', ax = ax1)
df2.plot(kind = 'barh', ax = ax2)

So the graph is

which is certainly not I am looking for, I am looking for a wide spread subplots. Pls Help

What you can do is:

fig, (ax1, ax2) = plt.subplots(1,2,figsize=(10,10))
fig.subplots_adjust(wspace=0.5)
df1.plot(kind = 'barh', ax = ax1)
df2.plot(kind = 'barh', ax = ax2)
plt.show()

Output:

Your problem here is that fig = plt.figure(figsize=(60,60)) creates a second figure, so when you call fig.subplots_adjust(wspace=10), it modifies this second figure and not the one on which you have your plotting axes. A way to correct this is to first include the keyword figsize inside your call to subplots fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(60, 60), then remove the call to figure underneath and finally adjust the wspace value.