This might be a simple task but I am new to plotting in python and is struggling to convert logic into code. I have 3 columns like below that consists of Countries, Quantities and Revenues:

All I want to do is creating a side by side bars for each country which would represent the revenue and quantity for each region.

So far, i have came across performing this:

sns.catplot(kind = 'bar', data = dj, y = 'Quantities,Revenues', x = 'Country', hue = 'Details')
plt.show()

But this cannot interpret the input "Country".

I hope I am making sense.

CodePudding user response：

With

CodePudding user response：

pandas already has a built-in plotting function: .plot and you can choose which type by specifying it like; .bar(), .scatter() or using kind= and then the type; kind='bar' or kind='scatter'. So, in this situation you will use a bar.

import matplotlib.pyplot as plt # import this to show the plot

df.plot.bar(x="Country", **kwargs) # plot the bars

plt.show() # show it