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pythonbeginner

tqdm Progress Bars in Data Pipelines

Add progress bars to pandas operations, loops, and concurrent futures with tqdm.

python
from tqdm import tqdm
import pandas as pd, time

for _ in tqdm(range(100), desc='Processing'):
    time.sleep(0.01)

tqdm.pandas(desc='Applying transform')
df = pd.DataFrame({'x': range(10_000)})
df['y'] = df['x'].progress_apply(lambda v: v ** 2)
print(df.tail())

Use Cases

  • ETL monitoring
  • batch progress
  • long-running jobs

Tags

#tqdm#progress#etl#ux

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