This is my first time trying to plot some data in Python. I have a dataframe like this one:
| city | zone | category | searches_ok | searches_null |
|---|---|---|---|---|
| Buenos Aires | Zone1 | Books | 12 | 6 |
| Buenos Aires | Zone1 | Home | 7 | 0 |
| Buenos Aires | Zone2 | Books | 5 | 7 |
| Rosario | Zone7 | Home | 25 | 1 |
| Rio de Janeiro | Zone8 | Tech | 55 | 3 |
| Rio de Janeiro | Zone9 | Books | 12 | 7 |
| Sao Paulo | Zone15 | Tech | 34 | 8 |
How would go about plotting this in a grouped bar chart? I would like for there to be 2 bars (searches_ok and searches_null) for each "combination" of city/zone/category.
Using this:
df_arg.set_index("zone")
df.plot(x="zone", y=["searches_ok","searches_null"]
I was able to plot a graph with both columns, but only for the "Zone" column... How would you go about doing that for each combination of city/zone/category ?
CodePudding user response：
Try making your x columns the index:
df.set_index(['city','zone','category']).plot.bar(rot=45)
Output:
