text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

import matplotlib.pyplot as plt
import seaborn as sns
house_df = pd.read_csv('../input/housesalesprediction/kc_house_data.csv')

house_df.isnull().sum()

house_df.drop(15870, inplace=True)

plt.figure(figsize=(12, 10))
sns.barplot(x=house_df['bathrooms'], y=house_df['price'], color='olive')
plt.show()