Finding words in csv Text

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I've a problem with my Python code. I want to find out the occurence of a words in csv , but somehow the occurences don't scale up:

occurences = 0
with open ("text.csv", "r") as text:
    for line in text:
        splitted = line.strip().split(' ')
        print(splitted)

    if splitted == 'bike':
        continue 
        occurences = occurences + int(splitted)

print(occurences)

The output is 0 even if bike occurences 3 times in text. Thanks in advance, I'm Python beginner and the solution might be very simple to you :-)

Finn

Here you go:

x = ['this is a bike yo bike hahahaha bike','no bike here']
occurences = 0
for line in x:
    splitted = line.strip().split(' ')
    print(splitted)

    if 'bike' in splitted:
#           continue 
        occurences = occurences + splitted.count('bike')

print(occurences)

How to search for a word through a csv file?, I used the default csv module of python to read a csv file line by line. Since you specified that we have to search only in the first row, that's why I� Word Embedding: It is a representation of text where words that have the same meaning have a similar representation. In other words it represents words in a coordinate system where related words, based on a corpus of relationships, are placed closer together.

try this:

occurences = 0
with open ("text.csv", "r") as text:
    for line in text:
        splitted = line.strip().split(' ')
        print(splitted)

        count = splitted.count('bike')
        occurences = occurences + count

print(occurences)

How to iterate through the words of a CSV file in Python, The CSV module is already parsing the file into rows and fields. Your outer loop is iterating over the rows. You have two inner loops and the outer of those is just� Convert Text Columns to CSV. Convert plain text columns to a CSV file. Generate Text Trigrams. Create a list of all 3-grams. Find the Number of Words in Text.

Here is an alternative using collections.Counter:

from collections import Counter
occurrences = Counter()
with open ("text.csv", "r") as text:
    for line in text:
        occurrences.update(line.strip().split())
print(ocurrences['bike'])

Text Mining – Term Frequency analysis and Word Cloud creation , Once I have selected the csv and hit open, the path variable will be filled with the location of the file to work with. Creating the R Data Frame. To create the data� Use Git or checkout with SVN using the web URL. Open with GitHub Desktop. Download ZIP. Launching GitHub Desktop. If nothing happens, download GitHub Desktop and try again. Go back. Launching GitHub Desktop. If nothing happens, download GitHub Desktop and try again. Go back.

Using str.count():

test.csv:

bike no more car bike
car car car
hello car
okay bike
what is this bike

Hence:

with open("test.csv") as f:
    contents = f.read()
    occurences = contents.count("bike")    
print(occurences)   # 4

EDIT:

one-liner:

print([sum(line.count("bike") for line in open('test.csv'))][0]) # 4

How can I find the most frequent word in a .csv file, ignoring , I would probably reach for perl. Use uniq from the List::Util module to de- duplicate each row. Use a hash to count the resulting occurrences. For example The grep command is primarily used to search text or search any given file for lines containing a match to the supplied words/strings. By default, grep displays the matching lines, and it may be used to search for lines of text matching one/many regular expressions in a fuss-free, and it outputs only the matching lines.

(Tutorial) Text ANALYTICS for Beginners using NLTK, Finding frequency counts of words, length of the sentence, presence/absence of specific words is known as text mining. Natural language� To achieve so, we make use of a dictionary object that stores the word as the key and its count as the corresponding value. We iterate through each word in the file and add it to the dictionary with count as 1. If the word is already present in the dictionary we increment its count by 1. Example #1:

Text Data in Tableau, If you replace the .txt extension of any of the full text files with .csv, you'll be able to get If we drag the Words dimension onto the Text mark, we can view all the one interesting feature or trend in this dataset and post what you find to Piazza. A CSV file (Comma Separated Values file) is a type of plain text file that uses specific structuring to arrange tabular data. Because it’s a plain text file, it can contain only actual text data—in other words, printable ASCII or Unicode characters. The structure of a CSV file is given away by its name.

Find and Replace Multiple Text with .CSV File Upload, guys i need this but i need ";" instead of "," to seperate words, can you please help me ? Like � Reply � Mark as spam � 9w. There are multiple possibilities, including that a previous Find specified a particular format (e.g. bold), 'whole words', 'match case', etc and those same parameters don't apply to the text you're now looking at. To clear the results of any previous Find, press Ctrl-H > More and uncheck any checked options.

Comments
  • occurences = occurences + int(splitted) whaat
  • Why do you have a continue in there?
  • This will not work if splitted == 'bike': because splitted is a list. Use this if 'bike' in splitted: instead.
  • Your code seemed to work fine, I checked it myself. Was it wrong? Why did you delete it? (Not a downvoter)
  • Idk, people were downvoting and I got scared! :3
  • Hahaha, don't mind that. Thanks for posting your idea anyway! Stay +ve :)
  • I don't know why people are downvoting this. It is clear, Pythonic, and concise. Take my upvote.
  • BTW, the example file is test.csv and you are opening people.csv :-), but that doens't take the merit of a good code snippet.