python - How to Display Dataframe next to Plot in Jupyter Notebook

Question

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!

Answer 1

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
from matplotlib import six
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)