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