I've just started to learn python. I'm curious about what are the efficient ways to count the occurrence of a specific word in a CSV file, other than simply use for loop to go through line by line and read.
To be more specific, let's say I have a CSV file contain two columns, "Name" and "Grade", with millions of records.
How would one count the occurrence of "A" under "Grade"?
Python code samples would be greatly appreciated!
To count the number of occurrences of a specific word in a text file, read the content of text file to a string and use String. count() function with the word passed as argument to the count() function.
Python Code:def word_count(str): counts = dict() words = str. split() for word in words: if word in counts: counts[word] += 1 else: counts[word] = 1 return counts print( word_count('the quick brown fox jumps over the lazy dog.
Because: It saves lot of memory without having to create list. def read_raw_csv(file_name): with open(file_name, 'r') as file: csvreader = csv. reader(file) # count number of rows entry_count = sum(1 for row in csvreader) print(entry_count-1) # -1 is for discarding header row. Show activity on this post.
Basic example, with using csv
and collections.Counter
(Python 2.7+) from standard Python libraly:
import csv
import collections
grades = collections.Counter()
with open('file.csv') as input_file:
for row in csv.reader(input_file, delimiter=';'):
grades[row[1]] += 1
print 'Number of A grades: %s' % grades['A']
print grades.most_common()
Output (for small dataset):
Number of A grades: 2055
[('A', 2055), ('B', 2034), ('D', 1995), ('E', 1977), ('C', 1939)]
You should of course read all the grades, which in this case also means reading the entire file. You can use the csv
module to easily read comma separated value files:
import csv
my_reader = csv.reader(open('my_file.csv'))
ctr = 0
for record in my_reader:
if record[1] == 'A':
ctr += 1
print(ctr)
This is pretty fast, and I couldn't do better with the Counter
method:
from collections import Counter
grades = [rec[1] for rec in my_reader] # generator expression was actually slower
result = Counter(grades)
print(result)
Last but not least, lists have a count
method:
from collections import Counter
grades = [rec[1] for rec in my_reader]
result = grades.count('A')
print(result)
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