In [1]:

    

from statistics import *

data = [1, 2, 2, 5, 10, 12]

print('{:0.2f}'.format(mean(data)))


    

    




5.33

In [3]:

    

from statistics import *

data = [1, 3, 3, 5, 10, 12]

print(mode(data))


    

    




3

In [4]:

    

from statistics import *

data = [1, 2, 2, 5, 10, 12]

print('median     : {:0.2f}'.format(median(data)))
print('low        : {:0.2f}'.format(median_low(data)))
print('high       : {:0.2f}'.format(median_high(data)))


    

    




median     : 3.50
low        : 2.00
high       : 5.00

In [5]:

    

from statistics import *
import subprocess


def get_line_lengths():
    cmd = 'wc -l ../[a-z]*/*.ipynb'
    out = subprocess.check_output(
        cmd, shell=True).decode('utf-8')
    for line in out.splitlines():
        parts = line.split()
        if parts[1].strip().lower() == 'total':
            break
        nlines = int(parts[0].strip())
        if not nlines:
            continue  # skip empty files
        yield (nlines, parts[1].strip())


data = list(get_line_lengths())

lengths = [d[0] for d in data]
sample = lengths[::2]

print('Basic statistics:')
print('  count     : {:3d}'.format(len(lengths)))
print('  min       : {:6.2f}'.format(min(lengths)))
print('  max       : {:6.2f}'.format(max(lengths)))
print('  mean      : {:6.2f}'.format(mean(lengths)))

print('\nPopulation variance:')
print('  pstdev    : {:6.2f}'.format(pstdev(lengths)))
print('  pvariance : {:6.2f}'.format(pvariance(lengths)))

print('\nEstimated variance for sample:')
print('  count     : {:3d}'.format(len(sample)))
print('  stdev     : {:6.2f}'.format(stdev(sample)))
print('  variance  : {:6.2f}'.format(variance(sample)))


    

    




Basic statistics:
  count     :   4
  min       :  92.00
  max       : 458.00
  mean      : 314.75

Population variance:
  pstdev    : 153.22
  pvariance : 23475.69

Estimated variance for sample:
  count     :   2
  stdev     : 113.84
  variance  : 12960.50

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