/Python/Fastest way to Convert Integers to Strings in Pandas DataFrame

Fastest way to Convert Integers to Strings in Pandas DataFrame

import pandas as pd
import sys
import time
import numpy as np
  
print('Version Of Python: ' + sys.version)
print('Version Of Pandas: ' + pd.__version__)
print('Version Of Numpy: ' + np.version.version)
  
frame1 = pd.DataFrame(np.random.randint(0, 90, size =(5000000, 1)), columns =['random'])
frame2 = pd.DataFrame(np.random.randint(0, 90, size =(5000000, 1)), columns =['random'])
frame3 = pd.DataFrame(np.random.randint(0, 90, size =(5000000, 1)), columns =['random'])
frame4 = pd.DataFrame(np.random.randint(0, 90, size =(5000000, 1)), columns =['random'])
  
  
# Using map(str) method
t1 = time.time()
frame1['random'] = frame1['random'].map(str)
output1 = (time.time() - t1)  
print('Time taken in seconds using map(str): ' + str(output1))
  
# Using apply(str) method
t2 = time.time()
frame2['random'] = frame2['random'].apply(str)
output2 = (time.time() - t2)  
print('Time taken in seconds using apply(str): ' + str(output2))
  
# Using astype(str) method
t3 = time.time()
frame3['random'] = frame3['random'].astype(str)
output3 = (time.time() - t3)  
print('Time taken in seconds using astype(str): ' + str(output3))
  
# Using values.astype(str) method
t4 = time.time()
frame4['random'] = frame4['random'].values.astype(str)
output4 = (time.time() - t4)  
print('Time taken in seconds using values.astype(str): ' + str(output4))
  
l =[output1, output2, output3, output4]
m =['map(str)', 'apply(str)', 'astype(str)', 'values.astype(str)']
  
# Fastest way to convert into string
minimum = min(l)
k = l.index(minimum)
fastest = m[k]
  
# It will print the fastest conversion method.
print(fastest+" is the fastest method")

Source: geeksforgeeks.org

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