Bar plot - plot many rows on one column pandas

Question

My dataframe looks like this:

Index | A | B | C | D | 
USA   | 1 | 2 | 1 | 2 |
GER   | 2 | 3 | 2 | 3 |
RUS   | 3 | 4 | 3 | 4 |
GBR   | 4 | 5 | 4 | 5 |

(The values are not the true ones) I want to make a bar plot for only the first 3 rows, where each "bar" is a variable (A, B, C, D) and the rows are shown like this example:

Where, for example, USA is blue, GER Is red and RUS Is green. I tried using matplotlib and seaborn, so I'm open to suggestions.

jezrael · Accepted Answer · 2019-12-21 12:25:37Z

1

I believe you need filter first 3 rows by DataFrame.head and then plot all 4 columns A,B,C,D by DataFrame.plot.bar:

df.head(3).plot.bar(stacked=True, colors=['blue','red','green', 'pink'])

Or maybe you want transpose, so:

df.head(3).T.plot.bar(stacked=True, colors=['blue','red','green'])

answered Dec 21, 2019 at 12:25

jezrael

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2 Comments

user12195705 Over a year ago

What if it's not the first 3 rows? What if the 3 rows I want are not next to each other?

jezrael Over a year ago

@user12195705 - Then select them by list like df.loc[['USA','RUS','GER']].plot.bar(stacked=True, colors=['blue','red','green','pink'])

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