Wordcloud Package in Python
Wordcloud package helps us to know the frequency of a word in textual content using visualization.
To implement this we need to install some packages first, like pandas, matplotlib, and Wordcloud.
Let us have a look at the steps of the installation of each-
Installation of Pandas
Pandas is a great tool to implement data analysis and visualizations in Jupyter Notebook. It can be imported into our source code in the following way-
The pd refers to the process of aliasing with the help of which data frames can be created and it makes the readability of code easier.
Pandas can be installed using two ways-
1. Using Command Prompt
First, let's see how we can work on our objective using command prompt.
The same command can be used in Linux in the terminal to install pandas in our system.
2. Using Anaconda Navigator
The second way to install pandas in our system is using Anaconda Navigator
Installation of Matplotlib
Matplotlib is a vast and interesting library for people who are enthusiastic about inferring results from the data and there are scatterplots, histograms, boxplots, and a lot more which makes it easy for us to comprehend.
Matplotlib can be installed by following the given steps-
Matplotlib can be installed in our system by using the given command in the Command Prompt-
We can install matplotlib using Anaconda by typing the following command in the Anaconda Prompt-
Verifying the Installation
We can verify that matplotlib has been successfully installed in our system or not by typing the given program in the terminal-
Installation of Wordcloud
As discussed earlier, it gives us an idea of the most occurred words in a text with the help of a visual.
Let us have a look at the steps of installation-
WordCloud can be installed by following the given steps-
WordCloud can be installed in our system by using the given command in the command prompt.
We can install wordcloud using Anaconda by typing the following command in the Anaconda Prompt.
Now let us have a look at the simple program that shows how wordcloud can be used in Python.
We have taken this piece of text from a website and save as sunflowers1.txt file.