How to plot a stacked seaborn histogram colored from a different column

Question

My dataset is like this

 Days     Visitors

Tuesday    23
Monday     30
Sunday    120
Friday     2
Friday    30
Tuesday   13
Monday    20
Saturday  100

How can I plot a histogram for this dataset, but assume it as a large dataset(560030 rows), not just only these values.

Actually I want to have days on x-axis and Visitors on Y-axis.

Answer 1

• Use seaborn, which is an API for matplotlib.
  • seaborn.histplot
  • seaborn.displot
• This will show the distribution of the number of visitors for each day of the week.

sns.histplot

import seaborn as sns
import pandas as pd
import numpy as np  # for test data
import random  # for test data
import calendar  # for test data

# test dataframe
np.random.seed(365)
random.seed(365)
df = pd.DataFrame({'Days': random.choices(calendar.day_name, k=1000), 'Visitors': np.random.randint(1, 121, size=(1000))})

# display(df.head(6))
        Days  Visitors
0     Friday        83
1     Sunday        53
2   Saturday        34
3  Wednesday        92
4    Tuesday        45
5  Wednesday         6

# plot the histogram
sns.histplot(data=df, x='Visitors', hue='Days', multiple="stack")

• Once the histogram is plotted, if the legend needs to be moved, use of the workaround found in seaborn issue: Not clear how to reposition seaborn.histplot legend #2280, may be necessary.

sns.displot

• This option most clearly conveys the daily distribution of visitor counts

sns.displot(data=df, col='Days', col_wrap=4, x='Visitors')

Barplot

• seaborn.barplot
• This will show the sum of all visits for a given day

sns.barplot(data=df, x='Days', y='Visitors', estimator=sum, ci=None)
plt.xticks(rotation=90)