How to Display Dataframe next to Plot in Jupyter Notebook

I understand how to display two plots next to each other (horizontally) in Jupyter Notebook, but I don't know if there is a way to display a plot with a dataframe next to it. I imagine it could look something like this:

However, I'm not able to do this, and whenever I print out the dataframe, it appears below my plot...

Here is a similar question, but I am also outputting plots within this same cell that I want to be vertically oriented.

I currently have this:

# line plots
df_plot[['DGO %chg','DLM %chg']].plot(figsize=(15,5),grid=True)
plt.ylim((-ylim,ylim))

df_plot[['Diff']].plot(kind='area',color='lightgrey',figsize=(15,1))
plt.xticks([])
plt.xlabel('')
plt.ylim((0,ylim_diff))
plt.show()

# scatter plots
plt.scatter(x=df_scat[:-7]['DGO'],y=df_scat[:-7]['DLM'])
plt.scatter(x=df_scat[-7:]['DGO'],y=df_scat[-7:]['DLM'],color='red')
plt.title('%s Cluster Last 7 Days'%asset)
plt.show()

# display dataframe
# display(df_scat[['DGO','DLM']][:10]) <-- prints underneath, not working

Where the red box shows where I want my dataframe to appear. Does anyone have any ideas about how to do this?

Thanks for your thoughts!

I'm not aware of how to control the location of where the DataFrame will display directly - but one work around I have used in the past is to render the DataFrame as a matplotlib table and then it should behave like any other matplotlib plot. You can use:

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

df = pd.DataFrame()
df['x'] = np.arange(0,11)
df['y'] = df['x']*2

fig = plt.figure(figsize=(8,5))

ax1 = fig.add_subplot(121)
ax1.scatter(x=df['x'],y=df['y'])

ax2 = fig.add_subplot(122)
font_size=14
bbox=[0, 0, 1, 1]
ax2.axis('off')
mpl_table = ax2.table(cellText = df.values, rowLabels = df.index, bbox=bbox, colLabels=df.columns)
mpl_table.auto_set_font_size(False)
mpl_table.set_fontsize(font_size)