Comment by ozark1

4 years ago

I installed python and pandas

  > python
  >>> from random import random
  >>> import pandas as pd
  >>> random()
  0.7077511922881649
  >>> random()
  0.2593136908764098
  >>> data = [[random() for _ in range(5)] for _ in range(100)]
  >>> data[0][0]
  0.2735146614801971
  >>> df = pd.DataFrame(data); df

             0         1         2         3         4
  0   0.273515  0.170594  0.898970  0.079374  0.928687
  1   0.329525  0.636761  0.890724  0.943152  0.380383
  2   0.467315  0.350110  0.466635  0.542507  0.374092
  3   0.542107  0.099672  0.099831  0.951280  0.701957
  4   0.720096  0.165341  0.552555  0.328817  0.472963
  ..        ...       ...       ...       ...       ...
  95  0.055599  0.725660  0.501949  0.569756  0.224119
  96  0.467840  0.489929  0.958574  0.021820  0.240163
  97  0.354537  0.893724  0.924532  0.163044  0.184746
  98  0.735890  0.186191  0.922227  0.283087  0.270254
  99  0.480191  0.411743  0.930426  0.761544  0.344867

  [100 rows x 5 columns]

  >>> df.describe()
                 0          1          2          3          4
  count  100.000000  100.00000  100.00000  100.00000  100.00000
  mean     0.443366    0.47486    0.58345    0.50434    0.48321
  std      0.270236    0.29132    0.28109    0.28135    0.26924
  min      0.003486    0.00665    0.00926    0.00562    0.01362
  25%      0.207259    0.18104    0.39012    0.26459    0.23753
  50%      0.429908    0.46262    0.58884    0.51510    0.49547
  75%      0.664791    0.68672    0.76128    0.73911    0.74120
  max      0.937488    0.97642    0.98671    0.98319    0.98120

  >>> data[5][0]
  0.7057387521445215
  >>> df.loc[5, 0]
  0.7057387521445215