Many documents use a specific format for a person's name. Write a program that reads a person's name in the following format:
firstName middleName lastName (in one line)
and outputs the person's name in the following format:
lastName, firstInitial.middleInitial.
Ex: If the input is:
Pat Silly Doe
the output is:
Doe, P.S.
If the input has the following format:
firstName lastName (in one line)
the output is:
lastName, firstInitial.
Ex: If the input is:
Julia Clark
the output is:
Clark, J.
Name = str(input())
token = Name.split()
if token == 3:
print(token[2] + ',', token[0][0] + '.' + token[1][0] + '.')
else:
print(token[1] + ',', token[0][0] + '.')
I thought the 3: would help me discern when the name is last and first initial or three(lastName, firstInitial.middleInitial.)
I hope your professor is not reading SO, otherwise you might fail class... It is wise not to copy paste exactly the instructions you got in your Intro to DS course :)
Related
I have a table below with names of the customer
fullname
Ash Ketchum
Mary Joe Keth
John
I want to split it into first and last names
firstname lastname
Ash Ketchum
Mary Joe Keth
John
I referred to this post and tried all the solution but nothing seems to work for me. I already did the same exercise in SQLServer using CHARINDEX() but seems like it's not supported in redshift
, same is the case with SUBSTR()
Simplest way to split human name in postgres?
You should be able to use SPLIT_PART():
SPLIT_PART(fullname, ' ', 1) as first_name,
SPLIT_PART(fullname, ' ', 2) as last_name
I have two columns one is the description and its corresponding tags in another column is a redshift table
description | Tags
John Plays Football | name, Verb , object
I want the output as description with tag
John name plays verb football object
The one more addition for this is where ever there is a description which contains colon ( : ) I would like to separate the words without removing :
For eg:
description | Tags
Des:John Plays Football | constant,name, Verb, object
Output
Des: constant John name plays verb football object
also need exclude : rule for numbers on both sides of colon to make sure time is getting (eg: 10:10) separated
I have no clue where I will start only
You have create UDF in Python to do this .
Sample code
create function f_py_conc (a srting, b srting)
returns srting
stable
as $$
c=a.split(" ")
d=b.split(",")
e =""
for i in range(len(c))
d=c[i]+" " +d[i]
return e
$$ language plpythonu;
Note: Python is dependent on space so may be this code can not run as it may need some change..
you can actually achieve this using Redshift functions, specifically the split part method. I am not sure if this will address the : as well but give this a go and then comment back with what you need to do next.
The idea is building a concatenated field assembling all the distinct parts of both fields. You can do this as follows:
select description, tags,
SPLIT_PART(description, ' ', 1) + ' ' + SPLIT_PART(tags, ',', 1) + ' ' +
SPLIT_PART(description, ' ', 2) + ' ' + SPLIT_PART(tags, ',', 2) + ' ' +
SPLIT_PART(description, ' ', 3) + ' ' + SPLIT_PART(tags, ',', 3)
as description_with_tag
from table_name
Find out more about this function here
I am writing a small query to extract all last names from a bunch of Author name database. Names on file will contain first and middle name, or just first name.
Ex: John Smith
John T. Smith
So I cannot search purely by just after the first space... But I know for sure that the lastname should be from the END to the first space from the right side of the string. I don't really care about first name.
This is what I currently have...
select [name], LEFT([name], CHARINDEX(' ', [name] + ' ')-1) as firstName,
SUBSTRING([name], charindex(' ', [name]+' ') + 1, LEN([name])) as lastName
from Author
;
I am quite new to sql, any help is highly appreciated!
Thanks in advance!
EDIT: for those who ever come across this need for help, this line helps:
select substr(t.string,instr(t.string,' ',-1)+1) last_word
For Oracle DB try this :
WITH t AS
(SELECT name AS l FROM <your query>
)
SELECT SUBSTR(l,instr(l,' ',-1)+1,LENGTH(l)) FROM t;
SUBSTRING_INDEX() should work in this case.
select name, SUBSTRING_INDEX(name,' ',-1) as lastName from Author;
I know this is a common question and I've reads all the posts just cannot get it to work so here I am. I have a table called PUBLICDATA. In it a table called PEOPLE and a column called NAME.
In the names column are strings of names formatted like:
smith, steve
smith steve a
smith, steve Andrew
smith, steve Andrew robin
What I'd like is a quick and dirty script that I can run that will parse the string in the NAME column and dump the split names into the FIRSTNAME, MIDDLENAME AND LASTNAME columns that also reside in the NAMES table.
ALSO... I have another table (let's say everything is named the same, however the names are like this:
steve smith
steve a smith
steve Andrew smith jr
steve Andrew jackson smith
Both tables do not have salutation and some have Jr, SR, etc... thank you in advance everyone...
PS.. please no self contained examples as I've seen them around but cant get them to work with my situation :(
Well you need a split function. I would split the names using this suggestion: https://gallery.technet.microsoft.com/scriptcenter/T-SQL-Script-to-Split-a-308206f3 and put all of the names in their own table.
I would then recommend that if your data really is always structured last name firstname etc that you match on the length of the last name first. So you take:
SELECT name from your_table WHERE Left(name, Length(last_name_from_name_table))=Length(lastname_from_name_table) AND UPPER(Left(name_from_your_table, length(lastname_from_name_table))=UPPER(lastname_from_name_table)
and blow that out into a series of cases that capture the names you want with cases for first names, jr, etc.
This works like a charm
SELECT LEFT(Name, CHARINDEX(' ', Name)) AS FirstName, CASE WHEN CHARINDEX(' ', Name) <> LEN(Name) - CHARINDEX(' ', REVERSE(Name)) + 1 THEN SUBSTRING(Name, CHARINDEX(' ', Name)+ 1, LEN(Name) - CHARINDEX(' ', REVERSE(Name))-CHARINDEX(' ', Name)) end as middle, RIGHT( Name, CHARINDEX(' ', REVERSE(Name))) AS LastName from a01_parse_test
If I have thousands of rows with data and I would like to find out if the column called "Last
Name " contains both First Name and Last Name (could be middle initial too). What SQL command
do I use ? (SQL Server 2008). Once I find it, how do I split the Last Name field and place
first name or middle initial in their own columns ?
For example:
First Name MI Last Name
John B. Smith
Karen A. Jones
Jane Lawrence
Joan K. Bates
Could it be done in Excel as well ?
You could look for spaces in the last name:
select *
from t
where lastname like '% %';
You could look for rows where the first name is missing:
select *
from t
where firstname is null or firstname = '';
EDIT:
If we assume that the names are "simple" as given in the sample data, you can do:
update t
set firstname = left(lastname, charindex(' ', lastname) - 1),
lastname = right(lastname, charindex(' ', reverse(lastname))),
mi = (case when lastname like '% % %'
then rtrim(ltrim(substring(lastname, charindex(' ', lastname + 1), 2)))
end)
where lastname like '% %' and firstname is null;
This makes lots of assumptions about the formats . . . that there are no complete middle names, that there are no honorics, that there are no suffixes, that there are no multiple spaces together. But if your data is simple, it should work.
Here is an example of the logic in SQL Fiddle.
I would do it in two passes:
-- Set first name
UPDATE names
SET FirstName = SUBSTR(LastName,1,CHARINDEX(' ',LastName) - 1),
LastName = SUBSTR(LastName,CHARINDEX(' ',LastName) + 1, LEN(LastName))
WHERE FirstNAme IS NULL
AND CHARINDEX(' ',LastName) > 0
-- Set middle name
UPDATE names
SET MI = SUBSTR(LastName,1,CHARINDEX(' ',LastName) - 1),
LastName = SUBSTR(LastName,CHARINDEX(' ',LastName) + 1, LEN(LastName))
WHERE MI IS NULL
AND CHARINDEX(' ',LastName) > 0
You may have a few false positives but that should get the vast majority of cases.
I would STRONGLY recommend creating a transaction, doing the updates, doing a SELECT to see the results and rolling back the transaction since the update is not reversible.