Other popular visualization tools

There are many other popular Python based libraries for visualization. Some are open source projects while a few others are proprietary.

WordCloud

If you are analyzing a collection of words, then a wordcloud package can be used to give a pictorial representation of the frequency of words.

Here is an example of a text file containing the biography of Mother Theresa which is read into a dataframe and then a long string containing all the words in the file is constructed which is then fed to the wordcloud to get us the pretty picture.


from wordcloud import WordCloud, STOPWORDS 
import matplotlib.pyplot as plt 
import pandas as pd 

stopwords = set(STOPWORDS)
df = pd.read_table('https://storage.googleapis.com/mbcc/mother_theresa.txt', header=None)
file_lines = df.values.flatten()

words =''
for line in file_lines:
  tokens = line.split()
  for token in tokens:
    words = words + ' ' + token

wordcloud = WordCloud(width = 800, height = 800, 
                background_color ='white', 
                stopwords = stopwords, 
                min_font_size = 10).generate(words.lower()) 


# plot the WordCloud image                        
plt.figure(figsize = (4, 4)) 
plt.imshow(wordcloud) 
plt.axis("off") 
plt.tight_layout(pad = 0) 
plt.show()

Output:

STOPWORDS provides a list of common stop words which will be ignored when fed into the generate function

Reference: https://github.com/amueller/word_cloud

Bar Chart Race Diagrams

Make animated bar chart races in Python with matplotlib.

https://pypi.org/project/bar-chart-race/

Interactive tools

Deploying on a Web Server

Having it on a Colab file is great to display your skills and to collaborate with others. However, if you are interested in deploying your analytics on a Webserver then one of the possible solutions is using DASH. DASH is a Python-Flask based platform that helps you deploy your analytics project on a Web server.
You can easily get it running on your localhost. You can also deploy the app on any of the cloud providers as well.

Refer: https://dash.plotly.com/deployment

Dash on Colab: Jupyter-Dash can provide the same Dash environment on JupyterLab. It also works on Colab. Here is an example: https://colab.research.google.com/drive/1upOMzo8N-SJzFWTmmFzAvsymCQWrbY2x?usp=sharing

7. Other Popular Libs

Other popular visualization tools

WordCloud

Bar Chart Race Diagrams

Interactive tools

Altair:

D3

Ployly Express

Deploying on a Web Server

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