Issue
Is there an easy way to quickly see contents of two pd.DataFrames side-by-side in Jupyter notebooks?
df1 = pd.DataFrame([(1,2),(3,4)], columns=['a', 'b'])
df2 = pd.DataFrame([(1.1,2.1),(3.1,4.1)], columns=['a', 'b'])
df1, df2
Solution
The closest to what you want could be:
> df1.merge(df2, right_index=1, left_index=1, suffixes=("_1", "_2"))
a_1 b_1 a_2 b_2
0 1 2 1.1 2.1
1 3 4 3.1 4.1
It's not specific of the notebook, but it will work, and it's not that complicated. Another solution would be to convert your dataframe to an image and put them side by side in subplots. But it's a bit far-fetched and complicated.
Answered By - jrjc
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