按两个标准分组的直方图 [python]

Question

I have a dataset like this:

I need to plot this dataset based on two criteria: Churn and Cust_Value.

I can do it using seaborn:

sns.barplot(x="Cust_Value", y="value", hue="Churn", data=merged)
plt.show()

The result gives me:

How can I add all variables (value, age, reloads, calls, duration, sms, gprs, inactive) to the same graph as groups of bars?

Answer 1

for that kind of output i would recommend using plotly,

import plotly.plotly as py
import plotly.graph_objs as go

trace1 = go.Bar(
    x=DF['Cust_Value'],
    y=DF['value'],
    name='value'
)
trace2 = go.Bar(
    x=DF['Cust_Value'],
    y=DF['age'],
    name='age'
)
trace3 = go.Bar(
    x=DF['Cust_Value'],
    y=DF['calls'],
    name='calls'
)

data = [trace1, trace2, trace3]
layout = go.Layout(
    barmode='group'
)

fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='grouped-bar')

sample output:

reference: https://plot.ly/python/bar-charts/

hope it helps!

if it does upvote :)

peace