Python data visualization: too small value to be visible - how to solve?

Question

Here is dataset, i have:

Source	All Leads	Not Junks	Warms	Hots	Deals	Weighted Sum
web	281316	269490	10252	2508	1602	4376.5
telesales	30458	29732	431	138	85	316.2
networking	4249	4195	763	547	476	539.1
promos	1356	1308	30	1	0	10.8

I visualized it:

df.plot.bar()

And got this output:

Some columns got too small values, so that they are not visible, how can tackle this problem?

Setting bigger figure size isn't useful, it makes chart bigger, but columns ratio is still the same, so nothing changes

Any ideas how to make it look more sophisticated? Or maybe i should try different type of chart? Thank you!

Answer 1

Could try df.plot.bar(logy=true), but it's going to make useful interpretation of it messy. A Sankey diagram would probably be a better fit for showing how the data breaks down in each category.

Answer 2

Seaborn comes out a little nicer, but takes some transformation to produce the same type of output:

import seaborn as sns

df2 = df.melt('Source').rename(columns={'variable': 'Category', 'value': 'Values'})

sns.barplot(x='Source', y='Values', data=df2, hue='Category')
plt.show()

Output:

Or with log=True