delete all records from table
DELETE FROM table_name;
deleting row in sql
delete from TableName where condition;
delete from scrumteam where firstname='Jack';
delete from scrumteam where JobTitle='SDET';
pandas how to delete a row
>>> df
A B C D
0 0 1 2 3
1 4 5 6 7
2 8 9 10 11
Drop a row by index
df.drop([0, 1])
A B C D
2 8 9 10 11
Drop columns
df.drop(columns=['B', 'C'])
A D
0 0 3
1 4 7
2 8 11
sql delete all values in a column
UPDATE TableName SET ColumnName = NULL
dataframe delete row
df.drop(df.index[2])
sql delete where in
-- Deletes all records where `columnName` matches the values in brackets.
DELETE FROM tableName WHERE columnName IN ('val1', 'val2', 'val3');
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