how to save a numpy array code example

Example 1: np.save function

np.save('data.npy', num_arr) # save
new_num_arr = np.load('data.npy') # load

Example 2: save array as npz python

# save numpy array as npy file
from numpy import asarray
from numpy import save
# define data
data = asarray([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]])
# save to npy file
save('data.npy', data)

# load numpy array from npy file
from numpy import load
# load array
data = load('data.npy', allow_pickle=True))
# print the array
print(data)

Example 3: save numpy array

x = np.arange(10)

np.save(outfile, x)

Example 4: numpy array storing in file by python

# long arrays can be stored in csv files far more efficiently
import numpy as np
import csv

# uploading arrays in a csv file
arr1 = [i for i in range(500)]
arr2 = [i for i in range(1000)]
arr3 = [i for i in range(2000)]
# you can write('w') or append('a')
with open('record.csv', 'a') as record_append:
    np.savetxt(record_append, np.asarray([arr1]), delimiter=',')
    np.savetxt(record_append, np.asarray([arr2]), delimiter=',')
    np.savetxt(record_append, np.asarray([arr3]), delimiter=',')

# downloading them from the csv file
two_dim_arr = []  # each line of the file is an array element
with open('record.csv', 'r') as record_read:
    reader = csv.reader(record_read)
    for i, each_arr in enumerate(reader):
        two_dim_arr.append([eval(each) for each in each_arr])
        
# printing the arrays in lines
for each_line in two_dim_arr:
  print(each_line)