text_plain_output_1.png
import pandas as pd

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

import seaborn as sns

housing = pd.read_csv('../input/california-housing-prices/housing.csv', sep=',', encoding='utf-8')
housing

housing.shape

housing.isnull().sum()

housing.columns

housing.isnull().sum()

housing = housing.astype('float')

x = housing.copy()

x[x['total_bedrooms'] >= 3000].shape