Checking row and column for a word in python

Question

I am trying to create a checking program to see if the word is in a matrix horizontally or vertically. I have the code for checking the row, but would checking the column be similar to the row code?

def checkRow(table, r, pos, word):
    for i in range(0, len(word)):
        if table[r][pos+i] != word[i]:
            return False
    return True

a sample table would be like this:

[
  ['a','p','p','l','e','b'],
  ['u','y','c','v','a','s'],
  ['n','u','t','o','n','s'],
  ['t','n','c','v','d','b'],
  ['o','r','i','x','o','f'],
  ['e','a','t','i','n','g']
]

Answer 1

Isn't it simple like this:

def checkCol(table, r, pos, word):
   for i in range(0, len(word)):
       if table[r+i][pos] != word[i]:
           return False
   return True

Answer 2

import itertools

def checkRow(table, r, pos, word):
    return all(w==x for w, x in itertools.izip(word, table[r][pos:]))

def checkCol(table, r, pos, word):
    return all(w==x for w, x in itertools.izip(word, table[r:][pos]))

The OP indicates "they haven't learned about import yet" so they'd rather reinvent the wheel than reuse functionality in the standard library. In general, that would be a pretty absurd stance, but in this case it ain't even too bad:

def checkRow(table, r, pos, word):
    return all(w==x for w, x in zip(word, table[r][pos:]))

def checkCol(table, r, pos, word):
    return all(w==x for w, x in zip(word, table[r:][pos]))

I hope at least builtins such as all and zip are acceptable -- or would the OP rather code binary machine language down to the bare metal to avoid learning some Python?-)

Answer 3

def intable(table, word):
    if any(word in ''.join(row) for row in table):          # check rows
       return True
    return any(word in ''.join(col) for col in zip(*table)) # check columns

Answer 4

def checkRow(table, r, pos, word):
    return word=="".join(table[r][pos:pos+len(word)])

def checkColumn(table, r, pos, word):
    return word=="".join(row[pos] for row in table[r:r+len(word)])