pandas change multiple column types

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Esteban
29 Mar 2019
1#Two ways to do this
2df[['parks', 'playgrounds', 'sports']].apply(lambda x: x.astype('category'))
3
4cols = ['parks', 'playgrounds', 'sports', 'roading']:
5public[cols] = public[cols].astype('category')
6
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Martina
02 Aug 2017
1#Method 1:
2df["Delivery Charges"] = df[["Weight", "Package Size", "Delivery Mode"]].apply(
3  lambda x : calculate_rate(*x), axis=1)
4
5#Method 2:
6df["Delivery Charges"] = df.apply(
7  lambda x : calculate_rate(x["Weight"], 
8  x["Package Size"], x["Delivery Mode"]), axis=1)
source
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