Python 入門
Hugo Bowne-Anderson
Data Scientist at DataCamp
瞭解你的資料
資料量較小 -> 直接觀察
大資料 -> ？
import numpy as np np_city = ... # Implementation left out np_city
array([[1.64, 71.78], [1.37, 63.35], [1.6 , 55.09], ..., [2.04, 74.85], [2.04, 68.72], [2.01, 73.57]])
np.mean(np_city[:, 0])
1.7472
np.median(np_city[:, 0])
1.75
np.corrcoef(np_city[:, 0], np_city[:, 1])
array([[ 1. , -0.01802], [-0.01803, 1. ]])
np.std(np_city[:, 0])
0.1992
sum()、sort()、...
強制使用單一資料類型：提升執行速度！
np.random.normal()
height = np.round(np.random.normal(1.75, 0.20, 5000), 2) weight = np.round(np.random.normal(60.32, 15, 5000), 2) np_city = np.column_stack((height, weight))
height = np.round(np.random.normal(1.75, 0.20, 5000), 2) weight = np.round(np.random.normal(60.32, 15, 5000), 2)
np_city = np.column_stack((height, weight))
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