import numpy as np
print("ones", np.ones(5))
print("arange", np.arange(5))
print("linspace", np.linspace(0., 1., 5))
print("random", np.random.uniform(size=3))
print("custom", np.array([2, 3, 5]))
ones [ 1. 1. 1. 1. 1.] arange [0 1 2 3 4] linspace [ 0. 0.25 0.5 0.75 1. ] random [ 0.68361911 0.33585308 0.70733934] custom [2 3 5]
np.array([[1, 2], [3, 4]])
array([[1, 2], [3, 4]])
np.ones(5, dtype=np.int64)
array([1, 1, 1, 1, 1])
np.arange(5).astype(np.float64)
array([ 0., 1., 2., 3., 4.])
import pandas as pd
data = pd.read_csv('../chapter2/data/nyc_data.csv')
pickup = data[['pickup_longitude', 'pickup_latitude']].values
pickup
array([[-73.955925, 40.781887], [-74.005501, 40.745735], ..., [-73.978477, 40.772945], [-73.987206, 40.750568]])
pickup.shape
(846945, 2)