pandarallel_parallel_apply_quickstart_with_progress_bar.py

1import pandas as pd
2import numpy as np
3from pandarallel import pandarallel
4
5# 1. Initialize pandarallel
6# Use use_memory_fs=False if you are on Windows or if you encounter issues with /dev/shm
7pandarallel.initialize(progress_bar=True)
8
9# 2. Create a dummy DataFrame
10df = pd.DataFrame(np.random.randint(0, 100, size=(1000, 4)), columns=list('ABCD'))
11
12# 3. Define a function to apply
13def func(x):
14    return x**2
15
16# 4. Standard pandas apply (for comparison)
17# res = df.apply(func)
18
19# 5. Pandarallel apply
20res = df.parallel_apply(func)
21
22print(res.head())