median in python
import statistics
statistics.median(list_name)median in python
import statistics
statistics.median(list_name)mean median mode using python
import numpy
speed = [99,86,87,88,86,103,87,94,78,77,85,86]
x = numpy.median(speed)
print(x)finding median on python
def calculate_median(n):
N = len(n)
n.sort()
#find the median
if N % 2 == 0:
#if N is even
m1 = N / 2
m2 = (N / 2) + 1
#Convert to integer, match post
m1 = int(m1) - 1
m2 = int(m2) - 1
median = (n[m1] + n[m2]) / 2
else:
m = (N + 1) / 2
# Convert to integer, match position
m = int(m) - 1
median = n[m]
return median
# Doing Math With Pythoncalculate mean median mode in python
>>> import statistics
>>> statistics.median([3, 5, 1, 4, 2])
3
>>> statistics.median([3, 5, 1, 4, 2, 6])
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