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  1. Prepare
  2. Tutorials
  3. 10 Days of Statistics
  4. Day 0: Mean, Median, and Mode
  5. Discussions

Day 0: Mean, Median, and Mode

  • isahurrutia
     + 0 comments

    Thank you! Here's my copy, using your solution, but with some refs:

    import numpy as np
from scipy import stats

n = int(input())
data = sorted([int(i) for i in input().split()])

data_mean = np.mean(data)

# numpy's median function returns the average of the two medians if our data 
# has an even number of elements, as required:
# https://numpy.org/devdocs/reference/generated/numpy.median.html?highlight=median#numpy.median
data_median = np.median(data)

# https://docs.python.org/3.4/library/statistics.html#statistics.mode
# "If there is more than one such value, only the smallest is returned"
data_mode = stats.mode(data)[0][0]

# Print number with one decimal places
print(data_mean)
print(data_median)
print(data_mode)