words-count 1.0.0

CLI tool for that outputs the N (N by default 100) most common n-word (n by default is 3) sequence in text.

Word Count

CLI tool for that outputs the N (N by default 100) most common n-word (n by default is 3) sequence in text, along with a count of how many times each occurred in the text.

The CLI can get the text on 'stdin' with default params:

>$ cat text_file.txt | word-count
...

Or using positional arguments:

>$ word-count --files text_file.txt
...
>$ word-count --files text_file.txt --number-of-words 4 --top 5
...

Important

• It is not case sensitive (e.g. “I love\nsandwiches.” is treated the same as "(I LOVE SANDWICHES!!)")
• When more than 1 file are passed as argument, each file is processed independently but the series of words are counted together.

How to install

Install the cli using pip

>$ pip intall words-count
...

Then, it will be available to use:

>$ words-count --help
usage: words-count [-h] [-f [FILES ...]] [-n NUMBER_OF_WORDS] [-t TOP]

CLI tool for that outputs the N (N by default 100) most common n-word (n by default is 3) sequence in text, along with a count of how many times each
occurred in the text.

optional arguments:
  -h, --help            show this help message and exit
  -f [FILES ...], --files [FILES ...]
                        Files path to read
  -n NUMBER_OF_WORDS, --number-of-words NUMBER_OF_WORDS
                        Number of words to group
  -t TOP, --top TOP     Max number of groups of words to output

Examples of use

Process to stdin:

>$ cat pg2009.txt | words-count
{
    "of the same": 320,
    "the same species": 126,
    "conditions of life": 125,
    "in the same": 116,
    "of natural selection": 107,
    "from each other": 103,
    "species of the": 98,
    "on the other": 89,
    "the other hand": 81,
    "the case of": 78,
    "the theory of": 75,
...

Use arguments for adjusting the options:

words-count --files pg2009.txt --number-of-words 6 --top 5
{
    "the individuals of the same species": 31,
    "the species of the same genus": 19,
    "we can understand how it is": 13,
    "can understand how it is that": 13,
    "the project gutenberg literary archive foundation": 13
}

Process multiple files:

words-count --files pg2009.txt pg2009.txt --number-of-words 6 --top 5
{
    "the individuals of the same species": 62,
    "the species of the same genus": 38,
    "we can understand how it is": 26,
    "can understand how it is that": 26,
    "the project gutenberg literary archive foundation": 26
}