Get the row count and column count from a Pandas dataframe
Pandas
import modules
import pandas as pd
import numpy as np
create dummy dataframe
raw_data = {'name': ['Willard Morris', 'Al Jennings', 'Omar Mullins', 'Spencer McDaniel'],
'age': [20, 19, 22, 21],
'favorite_color': ['blue', 'red', 'yellow', "green"],
'grade': [88, 92, 95, 70]}
df = pd.DataFrame(raw_data, columns = ['name', 'age', 'favorite_color', 'grade'])
df
name | age | favorite_color | grade | |
---|---|---|---|---|
0 | Willard Morris | 20 | blue | 88 |
1 | Al Jennings | 19 | red | 92 |
2 | Omar Mullins | 22 | yellow | 95 |
3 | Spencer McDaniel | 21 | green | 70 |
get the row and column count of the df
df.shape
(4, 4)
Format is (# rows, # cols), so there are both 4 rows and 4 columns in our example df.