import pandas as pd
pd.options.display.max_columns = 9999
df = pd.read_csv('california_housing_train.csv')
|
longitude |
latitude |
housing_median_age |
total_rooms |
total_bedrooms |
population |
households |
median_income |
median_house_value |
| 0 |
-114.31 |
34.19 |
15.0 |
5612.0 |
1283.0 |
1015.0 |
472.0 |
1.4936 |
66900.0 |
| 1 |
-114.47 |
34.40 |
19.0 |
7650.0 |
1901.0 |
1129.0 |
463.0 |
1.8200 |
80100.0 |
| 2 |
-114.56 |
33.69 |
17.0 |
720.0 |
174.0 |
333.0 |
117.0 |
1.6509 |
85700.0 |
| 3 |
-114.57 |
33.64 |
14.0 |
1501.0 |
337.0 |
515.0 |
226.0 |
3.1917 |
73400.0 |
| 4 |
-114.57 |
33.57 |
20.0 |
1454.0 |
326.0 |
624.0 |
262.0 |
1.9250 |
65500.0 |
pd.options.display.max_columns = 6
df.head()
|
longitude |
latitude |
housing_median_age |
... |
households |
median_income |
median_house_value |
| 0 |
-114.31 |
34.19 |
15.0 |
... |
472.0 |
1.4936 |
66900.0 |
| 1 |
-114.47 |
34.40 |
19.0 |
... |
463.0 |
1.8200 |
80100.0 |
| 2 |
-114.56 |
33.69 |
17.0 |
... |
117.0 |
1.6509 |
85700.0 |
| 3 |
-114.57 |
33.64 |
14.0 |
... |
226.0 |
3.1917 |
73400.0 |
| 4 |
-114.57 |
33.57 |
20.0 |
... |
262.0 |
1.9250 |
65500.0 |
5 rows × 9 columns