How to match and assign data the pythonic way? - mysql

Question

I have a list (mysql table) of People and their titles as shown in the table below. I also have a list of titles and their categories. How do I assign their categories to the person? The problem arises when there are multiple titles for a person. What is the pythonic way of mapping the title to the category and assigning it to the person?
People Table
Name Title
--------------------
John D CEO, COO, CTO
Mary J COO, MD
Tim C Dev Ops, Director
Title Category table
Title Executive IT Other
-----------------------------
CEO 1
COO 1
CTO 1 1
MD 1
Dev Ops 1
Director 1
Desired output :
Name Title Executive IT Other
---------------------------------------------
John D CEO, COO, CTO 1 1
Mary J COO, MD 1
Tim C Dev Ops, Director 1 1

Answer 1

name_title = (("John D",("CEO","COO","CTO")),
("Mary J",("COO","MD")),
("Tim C",("Dev Ops","Director")))
title_cat = {"CEO": set(["Executive"]),
"COO": set(["Executive"]),
"CTO": set(["Executive"]),
"MD": set(["Executive"]),
"Dev Ops": set(["IT"]),
"Director": set(["Other"])}
name_cat = [(name, reduce(lambda x,y:x|y, [title_cat[title]for title in titles])) for name,titles in name_title]
It would be nice if there was a union which behaved like sum on sets.

Answer 2

people=['john','Mary','Tim']
Title=[['CEO','COO','CTO'],['COO','MD'],['DevOps','Director']]
title_des={'CEO':'Executive','COO':'Executive','CTO':'Executive',
'MD':'Executive','DevOps':'IT','Director':'Others'
}
people_des={}
for i,x in enumerate(people):
people_des[x]={}
for y in Title[i]:
if title_des[y] not in people_des[x]:
people_des[x][title_des[y]]=[y]
else:
people_des[x][title_des[y]].append(y)
print(people_des)
output:
{'Tim': {'IT': ['DevOps'], 'Others': ['Director']}, 'john': {'Executive': ['CEO', 'COO', 'CTO']}, 'Mary': {'Executive': ['COO', 'MD']}}

Answer 3

Start by arranging your input data in a dictionary-of-lists form:
>>> name_to_titles = {
'John D': ['CEO', 'COO', 'CTO'],
'Mary J': ['COO', 'MD'],
'Tim C': ['Dev Ops', 'Director']
}
Then loop over the input dictionary to create the reverse mapping:
>>> title_to_names = {}
>>> for name, titles in name_to_titles.items():
for title in titles:
title_to_names.setdefault(title, []).append(name)
>>> import pprint
>>> pprint.pprint(title_to_names)
{'CEO': ['John D'],
'COO': ['John D', 'Mary J'],
'CTO': ['John D'],
'Dev Ops': ['Tim C'],
'Director': ['Tim C'],
'MD': ['Mary J']}

Answer 4

I propose this if you mean you have the string:
s = '''Name Title
--------------------
John D CEO, COO, CTO
Mary J COO, MD
Tim C Dev Ops, Director
Title Executive IT Other
-----------------------------
CEO 1
COO 1
CTO 1
MD 1
Dev Ops 1
Director 1
'''
lines = s.split('\n')
it = iter(lines)
for line in it:
if line.startswith('Name'):
break
next(it) # '--------------------'
for line in it:
if not line:
break
split = line.split()
titles = split[2:]
name = split[:2]
print ' '.join(name), titles
# John D ['CEO,', 'COO,', 'CTO']
# Mary J ['COO,', 'MD']
# Tim C ['Dev', 'Ops,', 'Director']