text_html_output_1.png
from tqdm import tqdm

import pandas as pd

import pandas as pd
from tqdm import tqdm
tqdm.pandas()
df = pd.read_csv('/kaggle/input/demand-forecasting-kernels-only/train.csv')
df

df['date'] = df.progress_apply(lambda x: f"{x['date']} {x['store']}:{x['item']}", axis=1)
df