# Get Median in Python – List & pandas DataFrame Column (4 Examples)

In this tutorial you’ll learn how to compute the median for a list and the columns of a pandas DataFrame in the Python programming language.

## Example 1: Calculating the Median of a List Object

```my_lt = [10, 6, 2, 2, 15, 20, 3, 7, 4] # Constructing a list in Python print(my_lt) # [10, 6, 2, 2, 15, 20, 3, 7, 4]```
`import numpy as np # Import NumPy`
```print(np.median(my_lt)) # Computing the Median of a list # 6.0```

## Example 2: Calculating the Median of the Columns in a pandas DataFrame

`import pandas as pd # Import pandas library in Python`
```my_df = pd.DataFrame({'A':range(10, 17), # Constructing a pandas DataFrame 'B':[6, 1, 8, 5, 3, 8, 9], 'C':range(2, 9), 'GRP':['gr1', 'gr2', 'gr1', 'gr3', 'gr1', 'gr2', 'gr3']}) print(my_df) # A B C GRP # 0 10 6 2 gr1 # 1 11 1 3 gr2 # 2 12 8 4 gr1 # 3 13 5 5 gr3 # 4 14 3 6 gr1 # 5 15 8 7 gr2 # 6 16 9 8 gr3```
```print(my_df.median()) # Computing the median of all columns # A 13.0 # B 6.0 # C 5.0 # dtype: float64```

## Example 3: Calculating the Median of the Columns in a pandas DataFrame by Group

```print(my_df.groupby('GRP').median()) # Computing the column medians by group # A B C # GRP # gr1 12.0 6.0 4.0 # gr2 13.0 4.5 5.0 # gr3 14.5 7.0 6.5```

## Example 4: Calculating the Median of the Rows in a pandas DataFrame

```print(my_df.median(axis = 1)) # Computing the median of all rows # 0 6.0 # 1 3.0 # 2 8.0 # 3 5.0 # 4 6.0 # 5 8.0 # 6 9.0 # dtype: float64```