how to add the sum of multiple columns into another column in a dataframe
print(df)
Apples Bananas Grapes Kiwis
0 2.0 3.0 NaN 1.0
1 1.0 3.0 7.0 NaN
2 NaN NaN 2.0 3.0
df['Fruit Total']=df.iloc[:,-4:].sum(axis=1)
print(df)
Apples Bananas Grapes Kiwis Fruit Total
0 2.0 3.0 NaN 1.0 6.0
1 1.0 3.0 7.0 NaN 11.0
2 NaN NaN 2.0 3.0 5.0pandas 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')python add multiple columns to pandas dataframe
# Basic syntax:
df[['new_column_1_name', 'new_column_2_name']] = pd.DataFrame([[np.nan, 'word']], index=df.index)
# Where the columns you're adding have to be pandas dataframes
# Example usage:
# Define example dataframe:
import pandas as pd
import numpy as np
df = pd.DataFrame({
'col_1': [0, 1, 2, 3],
'col_2': [4, 5, 6, 7]
})
print(df)
col_1 col_2
0 0 4
1 1 5
2 2 6
3 3 7
# Add several columns simultaneously:
df[['new_col_1', 'new_col_2', 'new_col_3']] = pd.DataFrame([[np.nan, 42, 'wow']], index=df.index)
print(df)
col_1 col_2 new_col_1 new_col_2 new_col_3
0 0 4 NaN 42 wow
1 1 5 NaN 42 wow
2 2 6 NaN 42 wow
3 3 7 NaN 42 wow
# Note, this isn't much more efficient than simply doing three
# separate assignments, e.g.:
df['new_col_1'] = np.nan
df['new_col_2'] = 42
df['new_col_3'] = 'wow'how to merge two pandas dataframes on a column
import pandas as pd
T1 = pd.merge(T1, T2, on=T1.index, how='outer')merge two columns pandas
df["period"] = df["Year"] + df["quarter"]sum two columns pandas
sum_column = df["col1"] + df["col2"]Copyright © 2021 Codeinu
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