python word cloud library wordcloud custom word cloud creation step by step sharing

import wordcloud
c=()  #Build word cloud objects, configure object parameters
("wordcloud by python ")  #Load word cloud text
c.to_file("")      #Exporting word cloud files

# Specify the shape of the word cloud, default is rectangle, need to quote imread() function
from  import imread
mk=imread("")
c=(mask=mk)

import wordcloud
# Read large text from external .txt file into variable txt
f = open('Government Work Report.txt',encoding='utf-8')
txt = ()
# Build the word cloud object w, set the word cloud image width, height, font, background color and other parameters
w = (width=1000,
                        height=700,
                        background_color='white',
                        font_path='')
# Pass the txt variable into w's generate() method to input text to the word cloud
(txt)
# Export word cloud images to current folder
w.to_file('')

# Import the wordcloud and jieba libraries
import jieba
import wordcloud
# Build and configure word cloud objects w
w = (width=1000,
                        height=700,
                        background_color='white',
                        font_path='')
# Call jieba's lcut() method to split the original text into Chinese words and get string
txt = 'Due to the simplicity, readability, and extensibility of the Python language, \
      There is a growing number of research organizations abroad that use Python for scientific computing, \
      Some well-known universities have adopted Python to teach programming courses. \
      For example, Carnegie Mellon University's Fundamentals of Programming, \
      Introduction to Computer Science and Programming at the Massachusetts Institute of Technology are taught using Python language.'
txtlist = (txt)
string = " ".join(txtlist)
# Pass the string variable into w's generate() method to enter text to the word cloud
(string)
# (" ".join((txt)))) # three pieces of code in one shorthand
# Export word cloud images to current folder
w.to_file('')

import jieba
import wordcloud
from  import imread
mask=imread("Picture shape.png") # Import a custom shape image and assign it to a mask.
# Read large text from external .txt file into variable txt
f = open('Government Work Report.txt',encoding='utf-8')
txt = () #Reading Extraction
()   #Close
# Build the word cloud object w, set the word cloud image width, height, font, background color and other parameters
w = (width=1000,
                        height=700,
                        background_color='white',mask=mask,
                        font_path='')
# Pass the txt variable into w's generate() method to input text to the word cloud
(" ".join((txt)))
# Export word cloud images to current folder
w.to_file('')

# Import wordcloud production library wordcloud
import wordcloud
# Save the text contained in the external file in the string variable
string = open('').read()
# Import the imread function from the imageio library and use this function to read a local image as a word cloud shape image
import imageio
mk = ("")
# Construct the word cloud object w. Note the addition of the parameters contour_width and contour_color to set the contour width and color.
w = (background_color="white",
                        mask=mk,
                        contour_width=1,
                        contour_color='steelblue'
                        )
# # Pass the string variable into w's generate() method to input text to the word cloud
(string)
# Export word cloud images to current folder
w.to_file('')

# Import the plotting library matplotlib and the word cloud production library wordcloud
import  as plt
from wordcloud import WordCloud,ImageColorGenerator

# Save the text contained in the external file in the text variable
text = open('').read()

# Import the imread function from the imageio library and use this function to read a local image as a word cloud shape image
import imageio
mk = ("")

# Construct word cloud objects w
wc = WordCloud(background_color="white",
               mask=mk,)
# Pass the text string variable into the generate() method of w to input text to the word cloud
(text)

# Call the ImageColorGenerator() function in the wordcloud library to extract the color of each part of the template image
image_colors = ImageColorGenerator(mk)

# Display native word clouds, word clouds colored by template image, and template images by left, center, and right
fig, axes = (1, 3)
# The leftmost image shows the native word cloud map
axes[0].imshow(wc)
# The middle image shows the word cloud generated by the template image color, using bilinear interpolation to display the colors
axes[1].imshow((color_func=image_colors), interpolation="bilinear")
# The image on the right shows the template image
axes[2].imshow(mk, cmap=)
for ax in axes:
    ax.set_axis_off()
()

# Recolor word cloud objects to the color of the template image
wc_color = (color_func=image_colors)
# Export word cloud images to current folder
wc_color.to_file('')