pandas pass two columns to function
#Method 1:
df["Delivery Charges"] = df[["Weight", "Package Size", "Delivery Mode"]].apply(
lambda x : calculate_rate(*x), axis=1)
#Method 2:
df["Delivery Charges"] = df.apply(
lambda x : calculate_rate(x["Weight"],
x["Package Size"], x["Delivery Mode"]), axis=1)pandas assign multiple columns at once
df = pd.DataFrame({'col1':[0,1,2], 'col2':[0,1,2], 'col3':[0,1,2]})
df
col1 col2 col3
0 0 0 0
1 1 1 1
2 2 2 2
df['col1'], df['col2'], df['col3'] = zip(*df.apply(lambda r: (1, 2, 3), axis=1))
df
col1 col2 col3
0 1 2 3
1 1 2 3
2 1 2 3Copyright © 2021 Codeinu
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