My goal is to create a grouped bar chart like the one below, using a pandas DataFrame that is grouped by two variables "Alpha" and "Beta."
xl2 = xl.groupby(['Alpha','Beta']).median()
When I tried this, a KeyError was thrown on 'Alpha'
import seaborn as sns
sns.barplot(x=['Alpha', 'Beta'], y=xl2['Gamma'])
My hope was to pass in a list of x values to index on ('Alpha' and 'Beta'), and graph the associated 'Gamma." The documentation for the seaborn.barplot function doesn't provide any group bar chart examples.
Thanks for your help!
You can use ggplot for this
from ggplot import *
import pandas as pd
import numpy as np
df = pd.DataFrame({
"x": np.random.choice(range(2001, 2008), 250),
"w": np.random.uniform(50, 400, 250),
"cat": np.random.choice(["A", "B", "C", "D", "E"], 250)
})
print ggplot(df, aes(x='x', weight='w', fill='cat')) + geom_bar() + theme_bw()