** Solution 1**: To find the median of a small python list. One can for example create a simple function:

`def calculate_median(l):`

`l = sorted(l)`

`l_len = len(l)`

`if l_len < 1:`

`return None`

`if l_len % 2 == 0 :`

`return ( l[(l_len-1)/2] + l[(l_len+1)/2] ) / 2.0`

`else:`

`return l[(l_len-1)/2]`

`l = [1]`

`print( calculate_median(l) )`

`l = [3,1,2]`

`print( calculate_median(l) )`

`l = [1,2,3,4]`

`print( calculate_median(l) )`

returns here:

`1`

`2`

`2.5`

Another example with some random numbers (between 0 and 10):

`from random import randint`

`l = [randint(0,10) for i in range(100)]`

`print( calculate_median(l) )`

returns for example 5.0

** Solution 2**: the numpy function called median

`import numpy as np`

`l = [1]`

`print np.median(np.array(l))`

`l = [3,1,2]`

`print np.median(np.array(l))`

`l = [1,2,3,4]`

`print np.median(np.array(l))`

** Solution 3**: the statistics python 3 function: statistics.median:

`import statistics`

`l = [1, 3, 5, 7]`

`median(l)`

returns:

` 4`

** Note**: For a list with a lot of elements see the median of medians algorithms

### References

Links | Site |
---|---|

Finding median of list in Python | stackoverflow |

How to find Median | stackoverflow |

middle number without using median function, Python | stackoverflow |

numpy.median | doc scipy |

statistics.median | python doc |