You can use the following syntax to get a cell value from a pandas DataFrame:

#iloc method
df.iloc[0]['column_name']

#at method
df.at[0,'column_name']

#values method
df['column_name'].values[0]

Note that all three methods will return the same value.

The following examples show how to use each of these methods with the following pandas DataFrame:

import pandas as pd

#create DataFrame
df = pd.DataFrame({'points': [25, 12, 15, 14, 19, 23, 25, 29],
                   'assists': [5, 7, 7, 9, 12, 9, 9, 4],
                   'rebounds': [11, 8, 10, 6, 6, 5, 9, 12]})

#view DataFrame
df

        points	assists	rebounds
0	25	5	11
1	12	7	8
2	15	7	10
3	14	9	6
4	19	12	6
5	23	9	5
6	25	9	9
7	29	4	12

Method 1: Get Cell Value Using iloc Function

The following code shows how to use the .iloc function to get various cell values in the pandas DataFrame:

#get value in first row in 'points' column
df.iloc[0]['points']

25

#get value in second row in 'assists' column
df.iloc[1]['assists']

7

Method 2: Get Cell Value Using at Function

The following code shows how to use the .at function to get various cell values in the pandas DataFrame:

#get value in first row in 'points' column
df.at[0, 'points']

25

#get value in second row in 'assists' column
df.at[1, 'assists']

7

Method 3: Get Cell Value Using values Function

The following code shows how to use the .values function to get various cell values in the pandas DataFrame:

#get value in first row in 'points' column
df['points'].values[0] 

25

#get value in second row in 'assists' column
df['assists'].values[1] 

7

Notice that all three methods return the same values.