I'm using Pandas and matplotlib to try to replicate this graph from tableau:
So far, I have this code:
group = df.groupby(["Region","Rep"]).sum()
total_price = group["Total Price"].groupby(level=0, group_keys=False)
total_price.nlargest(5).plot(kind="bar")
Which produces this graph:
It correctly groups the data, but is it possible to get it grouped similar to how Tableau shows it?
You can create some lines and labels using the respective matplotlib methods (ax.text and ax.axhline).
import pandas as pd
import numpy as np; np.random.seed(5)
import matplotlib.pyplot as plt
a = ["West"]*25+ ["Central"]*10+ ["East"]*10
b = ["Mattz","McDon","Jeffs","Warf","Utter"]*5 + ["Susanne","Lokomop"]*5 + ["Richie","Florence"]*5
c = np.random.randint(5,55, size=len(a))
df=pd.DataFrame({"Region":a, "Rep":b, "Total Price":c})
group = df.groupby(["Region","Rep"]).sum()
total_price = group["Total Price"].groupby(level=0, group_keys=False)
gtp = total_price.nlargest(5)
ax = gtp.plot(kind="bar")
#draw lines and titles
count = gtp.groupby("Region").count()
cum = np.cumsum(count)
for i in range(len(count)):
title = count.index.values[i]
ax.axvline(cum[i]-.5, lw=0.8, color="k")
ax.text(cum[i]-(count[i]+1)/2., 1.02, title, ha="center",
transform=ax.get_xaxis_transform())
# shorten xticklabels
ax.set_xticklabels([l.get_text().split(", ")[1][:-1] for l in ax.get_xticklabels()])
plt.show()
