convert python list to text file
# define list of places
places = ['Berlin', 'Cape Town', 'Sydney', 'Moscow']
with open('listfile.txt', 'w') as filehandle:
for listitem in places:
filehandle.write('%s\n' % listitem)convert python list to text file
# define list of places
places = ['Berlin', 'Cape Town', 'Sydney', 'Moscow']
with open('listfile.txt', 'w') as filehandle:
for listitem in places:
filehandle.write('%s\n' % listitem)how to save python list to file
import json
a = [1,2,3]
with open('test.txt', 'w') as f:
f.write(json.dumps(a))
#Now read the file back into a Python list object
with open('test.txt', 'r') as f:
a = json.loads(f.read())how to write a numpy array to a file in python
numpy.savetxt(fname, X, fmt='%.18e', delimiter=' ', newline='\n',
header='', footer='', comments='# ', encoding=None)
x = y = z = np.arange(0.0,5.0,1.0)
np.savetxt('test.out', x, delimiter=',') # X is an array
np.savetxt('test.out', (x,y,z)) # x,y,z equal sized 1D arrays
np.savetxt('test.out', x, fmt='%1.4e') # use exponential notationlist to text file python
with open('your_file.txt', 'w') as f:
for item in my_list:
f.write("%s\n" % item)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)Copyright © 2021 Codeinu
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