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 merge two columns from different dataframes
#suppose you have two dataframes df1 and df2, and
#you need to merge them along the column id
df_merge_col = pd.merge(df1, df2, on='id')merge two columns pandas
df["period"] = df["Year"] + df["quarter"]how to apply a function to multiple columns in pandas dataframe
>>> print df
A B C
0 -1 0 0
1 -4 3 -1
2 -1 0 2
3 0 3 2
4 1 -1 0
>>> print df.applymap(lambda x: x>1)
A B C
0 False False False
1 False True False
2 False False True
3 False True True
4 False False Falsedf multiple columns into one column
df.stack().reset_index()
level_0 level_1 0
0 0 Column 1 A
1 0 Column 2 E
2 1 Column 1 B
3 1 Column 2 F
4 2 Column 1 C
5 2 Column 2 G
6 3 Column 1 D
7 3 Column 2 HCopyright © 2021 Codeinu
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