Create Word Cloud Crash Course on Python Coursera

This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. This is crash course on python coursera final project – wordcloud.

No previous exposure to programming is needed. By the end of this course, you’ll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem.

We’ll start off by diving into the basics of writing a computer program. Along the way, you’ll get hands-on experience with programming concepts through interactive exercises and real-world examples. You’ll quickly start to see how computers can perform a multitude of tasks — you just have to write code that tells them what to do.

~~:WHAT YOU WILL LEARN:~~

•  Understand what Python is and why Python is relevant to automation 
• Write short Python scripts to perform automated actions
• Understand how to use the basic Python structures: strings, lists, and dictionaries 
• Create your own Python objects

# Here are all the installs and imports you will need for your word cloud script and uploader widget

!pip install wordcloud
!pip install fileupload
!pip install ipywidgets
!jupyter nbextension install --py --user fileupload
!jupyter nbextension enable --py fileupload

import wordcloud
import numpy as np
from matplotlib import pyplot as plt
from IPython.display import display
import fileupload
import io
import sys

# This is the uploader widget

def _upload():

    _upload_widget = fileupload.FileUploadWidget()

    def _cb(change):
        global file_contents
        decoded = io.StringIO(change['owner'].data.decode('utf-8'))
        filename = change['owner'].filename
        print('Uploaded `{}` ({:.2f} kB)'.format(
            filename, len(decoded.read()) / 2 **10))
        file_contents = decoded.getvalue()

    _upload_widget.observe(_cb, names='data')
    display(_upload_widget)

_upload()

def calculate_frequencies(file_contents):
    # Here is a list of punctuations and uninteresting words you can use to process your text
    punctuations = '''!()-[]{};:'"\,<>./?@#$%^&*_~'''
    uninteresting_words = ["the", "a", "to", "if", "is", "it", "of", "and", "or", "an", "as", "i", "me", "my", \
    "we", "our", "ours", "you", "your", "yours", "he", "she", "him", "his", "her", "hers", "its", "they", "them", \
    "their", "what", "which", "who", "whom", "this", "that", "am", "are", "was", "were", "be", "been", "being", \
    "have", "has", "had", "do", "does", "did", "but", "at", "by", "with", "from", "here", "when", "where", "how", \
    "all", "any", "both", "each", "few", "more", "some", "such", "no", "nor", "too", "very", "can", "will", "just"]
    
    # LEARNER CODE START HERE
    
    frequencies={}
    file_contents=file_contents.split()
    str1=""
    
    for word in file_contents:
        str1= ''.join(ch for ch in word if ch.isalnum())
        if str1.lower() not in uninteresting_words:

            if str1.lower() not in frequencies:
                frequencies[str1.lower()]=1
            else:
                frequencies[str1.lower()]+=1
    
    
        
    cloud = wordcloud.WordCloud()
    cloud.generate_from_frequencies(frequencies)
    return cloud.to_array()

If you have done everything correctly, your word cloud image should appear after running the cell below. Fingers crossed!

# Display your wordcloud image

myimage = calculate_frequencies(file_contents)
plt.imshow(myimage, interpolation = 'nearest')
plt.axis('off')
plt.show()

If your word cloud image did not appear, go back and rework your calculate_frequencies function until you get the desired output. Definitely check that you passed your frequecy count dictionary into the generate_from_frequencies function of wordcloud. Once you have correctly displayed your word cloud image, you are all done with this project. Nice work!