Selecting the sum of a column's value from a SQL table, translated to Python's pandas.
Selecting a single column's sum of values
In SQL:
SELECT
SUM(column_1)
FROM
table;
In pandas:
table['column_1'].sum()
Selecting the sum of multiple columns
In SQL:
SELECT
SUM(column_1),
SUM(column_2)
FROM
table;
In pandas:
table
.agg({'column_1': ['sum'], 'column_2': ['sum']})
Selecting the sum of columns with an alias
In SQL:
SELECT
column_1,
SUM(column_2) AS sum_alias_1,
SUM(column_3) AS sum_alias_2
FROM
table
GROUP BY
column_1;
In pandas:
table
.groupby('column_1')
.agg(sum_alias_1=('column_2', 'sum'), sum_alias_2=('column_3', 'sum'))