Seaborn Barplot Method

Program 1

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
data = {
    'Fruit': ['Apple', 'Mango', 'Apple', 'Mango', 'Apple', 'Mango'],
    'Sales': [100, 80, 90, 70, 95, 85]
}
df = pd.DataFrame(data)
print(df)
# Bar plot showing average sales for each fruit
sns.barplot(x='Fruit', y='Sales', data=df,ci=None,estimator=np.sum)
plt.title("Average Sales of Fruits")
plt.show()

Program 2

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
df_tips = sns.load_dataset('tips')
#print(df_tips.head())
print(df_tips.info())

#sns.barplot(x='day', y='total_bill', data=df_tips, hue='sex',ci=None,estimator=np.median,palette='Accent')
# sns.barplot(x='day', y='tip', data=df_tips, hue='sex',ci=None,estimator=np.mean)
sns.barplot(x='time', y='tip', data=df_tips, hue='sex',ci=None,estimator=np.mean)
plt.title("Average Total Bill per Day")
plt.show()