ggplot Bar Plot semantics

Question

I am trying to use ggplot in Python for the first time and the semantics are completely unobvious to me.

I have a pandas dataframe with two columns: date and entries_sum. What I would like to do is plot a bar plot with the date column as each entry on the x-axis and entries_sum as the respective heights.

I cannot figure out how to do this with the ggplot API. Am I formatting my data wrong for this?

Need more information to give a good answer, e.g. what code did you try for your plot, and what was the result/error. Also, have you looked at the ggplot docs? — tegancp
– tegancp, Commented Jun 17, 2015 at 21:03
Yes, I have. The issue (as mentioned below) was that I thought 'identity' was the default parameter for stat for geom_bar. However, it doesn't work without it explicitly stated. — Logan
– Logan, Commented Jun 17, 2015 at 22:12

cr1msonB1ade · Accepted Answer · 2015-06-17 21:19:53Z

1

How about:

ggplot(aes(x='date', y='entries_sum'), data=data) + geom_bar(stat='identity')

answered Jun 17, 2015 at 21:19

cr1msonB1ade

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2 Comments

Logan Over a year ago

So, this was it, obviously. I thought that 'identity' was the default parameter for stat, so I had not put it in any of my attempts.

cr1msonB1ade Over a year ago

Indeed the documentation for the Python version of ggplot is not mature yet so takes a little testing to get it right.

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