Multiple plots using pandas dataframe

Question

I have a dataframe like

key, value_1, counts

1, "foo", 20
1, "bar", 45
1, "baz", 22
5, "bar", 24
2, "foo", 15

and so on..

Now, I want to plot multiple(bar) plots corresponding for each key based on counts of each value_1

So plot 1 is like bar plot of 45,22, 20 (sorted(["foo", "bar", "baz"]) values)

My noob way is to slice the dataframe by index and then plot it. But I was wondering if there is a more pythonic way to do this?

It would help to see an example plot, or the code for your "noob way" to understand what you're asking — G. Anderson
– G. Anderson, Commented Jan 15, 2019 at 18:43

Vaishali · Accepted Answer · 2019-01-15 18:45:22Z

2

You can use groupby and plot

for name, grp in df.groupby('key'):
    grp.plot.bar('value_1', 'counts', title = name)

answered Jan 15, 2019 at 18:45

Vaishali

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