otp.Operation.str.repeat#
- repeat(repeats)#
Duplicate a string
repeats
times.- Parameters
repeats (int or Column or Operation) – Non-negative number of copies of the string. Repeating zero times results in empty string. Repeating negative number of times results in exception.
- Returns
String repeated
repeats
times.- Return type
Note
Alternative for the
repeat
function is multiplication.The returned string has the same type and maximum length as the original field.
Examples
>>> data = otp.Ticks(X=['Banana', 'Ananas', 'Apple']) >>> data['X'] = data['X'].str.repeat(3) >>> otp.run(data) Time X 0 2003-12-01 00:00:00.000 BananaBananaBanana 1 2003-12-01 00:00:00.001 AnanasAnanasAnanas 2 2003-12-01 00:00:00.002 AppleAppleApple
Other columns can be used as parameter
repeats
too:>>> data = otp.Ticks(X=['Banana', 'Ananas', 'Apple'], TIMES=[1, 3, 2]) >>> data['Y'] = data['X'].str.repeat(data['TIMES']) >>> otp.run(data) Time X TIMES Y 0 2003-12-01 00:00:00.000 Banana 1 Banana 1 2003-12-01 00:00:00.001 Ananas 3 AnanasAnanasAnanas 2 2003-12-01 00:00:00.002 Apple 2 AppleApple
The returned string has the same type and therefore the same maximum length as the original field:
>>> data = otp.Ticks(X=[otp.string[9]('Banana')]) >>> data['Y'] = data['X'].str.repeat(3) >>> data.schema {'X': string[9], 'Y': string[9]} >>> otp.run(data) Time X Y 0 2003-12-01 Banana BananaBan
repeat
does the same thing as multiplication by a non-negative int:>>> data = otp.Ticks(X=['Banana'], N=[2]) >>> data['X2'] = data['X'] * data['N'] >>> data['X3'] = data['X'] * 3 >>> otp.run(data) Time X N X2 X3 0 2003-12-01 Banana 2 BananaBanana BananaBananaBanana
Multiplying by 0 results in empty string:
>>> data = otp.Ticks(X=['Banana', 'Apple']) >>> data['Y'] = data['X'].str.repeat(0) >>> otp.run(data) Time X Y 0 2003-12-01 00:00:00.000 Banana 1 2003-12-01 00:00:00.001 Apple