从熊猫系列价值计数创建pygal.Bar图表？

Question

I'm trying to build a pygal bar chart from a pandas DataFrame series onto which .value_counts() is applied eg without having to split the series into multiple columns and add those columns individually, as suggested in the documentation and this question .

import pandas as pd
import pygal

df = pd.DataFrame.from_dict({'categorical': ['foo','foo','bar','foo','bar','too']})

series = df.categorical.value_counts()
series
> foo    3
  bar    2
  too    1

Ideally the result looks like the plot in the solution to this question . Can this be done?

Thanks in advance!

Answer 1

I think that this is what you were aiming for:

Pygal doesn't isn't able to plot Pandas objects directly, but you can take advantage of the attributes of the Series object returned by value_counts to set the x labels of a chart and add the counts as a series of data.

The chart above was created with this code:

import pandas as pd
import pygal

df = pd.DataFrame.from_dict({'categorical': ['foo','foo','bar','foo','bar','too']})
series = df.categorical.value_counts()

chart = pygal.Bar(width=400, height=300)
chart.x_labels = series.index
chart.add("Count", series.values)

chart.render_to_png("bar.png")  # Or any other output option.