pandas change multiple column types code example
Example 1: pandas change multiple column types
df["Delivery Charges"] = df[["Weight", "Package Size", "Delivery Mode"]].apply(
lambda x : calculate_rate(*x), axis=1)
df["Delivery Charges"] = df.apply(
lambda x : calculate_rate(x["Weight"],
x["Package Size"], x["Delivery Mode"]), axis=1)
Example 2: set dtype for multiple columns pandas
import pandas as pd
df = pd.DataFrame({'id':['a1', 'a2', 'a3', 'a4'],
'A':['0', '1', '2', '3'],
'B':['1', '1', '1', '1'],
'C':['0', '1', '1', '0']})
df[['A', 'B', 'C']] = df[['A', 'B', 'C']].apply(pd.to_numeric, axis = 1)
Example 3: pandas change multiple column types
df[['parks', 'playgrounds', 'sports']].apply(lambda x: x.astype('category'))
cols = ['parks', 'playgrounds', 'sports', 'roading']:
public[cols] = public[cols].astype('category')