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This article mainly introduces "how to use Python to generate word cloud". In daily operation, I believe that many people have doubts about how to use Python to generate word cloud. The editor has consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the doubt of "how to use Python to generate word cloud". Next, please follow the editor to study!

Foreword:

It is said that in this era of big data, it is extremely easy to obtain information, but it is precisely so that it is very difficult for us to understand the information intuitively.

Excel is a good method for data visualization, but sometimes our data source may not be one or more Excel tables, so it is not so easy if we want to use Excel for data visualization.

First, we need to import the data into Excel one by one, and then use Excel's chart to visually analyze the data. In the case of a large amount of information, the loss obviously outweighs the gain. We just want to have an intuitive understanding of the data. Why should it be so complicated?

The above problems are encountered by many people, so some ways of data visualization emerge as the times require, such as Ciyun. Look at this picture, everyone.

Is it very intuitive and cool?

Now, for those of you who want to make a picture like this, follow me, and I'll teach you how to make a word cloud like this, and the way to do it here is to use the related libraries in Python.

The installation method is as follows

Pip install matplotlibpip install numpypip install jieba

The purpose of the above three commands is to install the three libraries matplotlib,numpy and jieba, respectively. Of course, some students may have already installed it. To verify that there is an installation, type at the command line

Pip list

This will show the libraries you have installed. If there are not all three libraries above, please execute the corresponding command under the command line and wait for the installation to succeed.

If you do not have Python installed or enter pip to show that it is not an internal command, please move to this article

Python rookie environment is built-out of the box

Now go straight to the code, and there are comments on it. I'm sure you can understand that # worcloud is the key to generating the word cloud. Import wordcloud# numpy is a powerful scientific computing library, and we will use it to save the pictures opened by the PIL library as an array. Import numpy as np# PIL is an image processing library, used to open a picture from PIL import Image# jieba is a Chinese word segmentation library, can intelligently split words import jieba# matplotlib library is a drawing library, can be used to display pictures and draw a variety of graphics import matplotlib.pyplot as plt

# two ways to generate background images # # Note that the path of the background image should be written correctly, which can be the full path. For example, if the C:/image/test.jpg# image is in the same folder as the Python code, you can directly write the picture name + suffix, such as test.jpg# 1. Use the matplotlib library to read the picture bg_1=plt.imread ("background_image_1.jpg")

# 2. Using the numpy library and the PIL library, the PIL library is used to open pictures, and the numpy library is used to convert pictures into arrays # I commented out # bg_2=np.array (Image.open ('background_image_2.jpg')) on the following line of code

# for the above picture selections, pay special attention to the white background of the picture

# configure the background, picture, font size and other parameters of the word cloud. # or not, directly wc=wordcloud.WordCloud () wc=wordcloud.WordCloud (# font_path is the path of the font file. Without this, the generated word cloud image cannot display Chinese font_path= "C:/Windows/Fonts/simfang.ttf".

# scale is a picture that is scaled up or down. For example, 1.5 means that the image is enlarged by 1.5 times, and scale=1.5 can be omitted.

# mask means background picture. If there is no background picture, mask=bg_1 can be omitted.

# background_color is the background color. Default is black. You can omit background_color= "black".

# width is the width of the image generated by Ciyun. Default is 400 width=600.

# the height of the image generated by # height for Ciyun. Default is 200 height=400.

# the number of maximum words displayed on the max_words image max_words=1000

# max_font_size is the maximum font size max_font_size=120

# min_font_size is the minimum font size, default is 4 min_font_size=4)

# Open the file to generate word cloud, which is usually a plain text document with open ('word cloud source .txt', 'word cloud encoding = "utf-8") as f in txt format:

# text=f.read () means to read all the contents of the word cloud source .txt file and store it in the variable text text=f.read ()

# split the text using the jieba library and use spaces to separate the result of the split spilt_text= "" .join (jieba.lcut (text))

Print ("generating word cloud, estimated time is 35s.")

# call the generate method and pass in the text to generate the word cloud

Wc.generate (spilt_text)

# Save the word cloud as a picture wc.to_file ('wordcloud.jpg')

Print ("Generation completed!")

Background picture

Word cloud effect

At this point, the study on "how to use Python to generate word cloud" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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