PYTHON

bar chart with seaborn

import seaborn as sns
import matplotlib.pyplot as plt

fig, ax = plt.subplots(figsize=(10,10))
# x and y are lists
sns.barplot(x=x, y=y, color='goldenrod', ax=ax, label="Some Label")
ax.set_xlabel("X-Label")
ax.set_ylabel("Y-Label")
ax.legend()
plt.show()

seaborn bar plot dataset

# importing the required library
import seaborn as sns
import matplotlib.pyplot as plt
 
# read a titanic.csv file
# from seaborn library
df = sns.load_dataset('titanic')
 
# class v / s fare barplot
sns.barplot(x = 'class', y = 'fare', hue = 'sex', data = df)
 
# Show the plot
plt.show()

seaborn bar plot

# importing the required library
import seaborn as sns
import matplotlib.pyplot as plt
 
# read a titanic.csv file
# from seaborn library
df = sns.load_dataset('titanic')
 
# class v / s fare barplot
sns.barplot(x = 'class', y = 'fare', data = df)
 
# Show the plot
plt.show()

stacked bar chart using seaborn

import matplotlib.pyplot as plt
import seaborn as sns

#set seaborn plotting aesthetics
sns.set(style='white')

#create stacked bar chart
df.set_index('Day').plot(kind='bar', stacked=True, color=['steelblue', 'red'])