How to fill color by groups in histogram using Matplotlib?

user_11661026 0
Viewed 9682

I know how to do this in R and have provided a code for it below. I want to know how can I do something similar to the below mentioned in Python Matplotlib or using any other library

library(ggplot2)
ggplot(dia[1:768,], aes(x = Glucose, fill = Outcome)) +
  geom_bar() +
  ggtitle("Glucose") +
  xlab("Glucose") +
  ylab("Total Count") +
  labs(fill = "Outcome")

data-visualization histogram matplotlib r python
2 Answers

Using pandas you can pivot the dataframe and directly plot it. 

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# dataframe with two columns in "long form"
g = np.array([np.random.normal(5, 10, 500),
              np.random.rayleigh(10, size=500)]).flatten()
df = pd.DataFrame({'Glucose': g, 'Outcome': np.repeat([0,1],500)})

# pivot and plot
df.pivot(columns="Outcome", values="Glucose").plot.hist(bins=100)

plt.show()

enter image description here

user_41243170

Please consider the following example, which uses seaborn 0.11.1.

import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

# generate random data
data = {'Glucose': np.random.normal(5, 10, 100),
        'Outcome': np.random.randint(2, size=100)}
df = pd.DataFrame(data)

# plot
fig, ax = plt.subplots(figsize=(10, 10))
sns.histplot(data=df, x='Glucose', hue='Outcome', stat='count', edgecolor=None)
ax.set_title('Glucose')
user_99000840
Related