Wordcloud mask image komoran = Komoran() #4. A mask is an image you can use to change the shape of your word cloud. Creating mask object: (Please try with your own image as I couldn't upload:) import numpy as np; import pandas as pd; from PIL import Image; from wordcloud import WordCloud mask Aug 8, 2021 · A Word Cloud is a visualization that contains words from a set of data, with the font size directly proportional to the frequency of the word in the set. from imageio import imread. As Addie’s Husband is a romance, it seems appropriate that the mask we use should be a heart. WordCloud() 其中“ 根据词频生成 ”和“ 根据文本生成 ”两种方法中只能选取一种。 Dec 10, 2021 · In this article, we will discuss how to create word clouds of any shape in Python. 1 wordcloud库的使用wordcloud. In this step, we will import an image to be used as a mask and prepare it for the word cloud generation. To create a word cloud of any shape, use Python’s Matplotlib, word cloud, NumPy, and PIL packages. The term WordCloud refers to a data visualization technique for showing text data in which the size of each word indicates its frequency or relevance. See below an example of a word cloud based on the words of the novel ‘Treasure Island‘ by Robert Louis Stevenson. Jan 28, 2021 · One way to make your word cloud visually stunning is to add a mask. The masks are the more interesting aspect for creating visualizations, but where do you get the masks? You can manually Mar 1, 2015 · You can't increase the resolution of the image in plt. We can manipulate the mask very easily with the mask parameter when we instantiate the WordCloud object. Here you can highlight the most common words in the novel – they are May 9, 2016 · Python word_cloud allows the user to specify a mask to constrain the distribution of words. Apr 5, 2020 · This is done by using an image as a mask; you provide the WordCloud object a numerical representation of an image with a white background, and the wordcloud will only draw words in positions where the image is not white. A maskable image should include “255” values for the “pure white” color within them. array()将图片转化为二维数组。 Dec 10, 2023 · 上一篇 文章我们通过 jieba 分词和 wordcloud 词云库，实现了对《三国演义》小说分析，生成了下面的词云图。 但是我们发现，生成的关键词比较混乱，有人名、动词、时间等，如果只想找出《三国演义》小说中的人名，… Nov 2, 2022 · NumPy will be used to mask, or shape, an image to be applied to the word cloud. Word cloud is one of the most powerful and straightforward visualization methods when it comes to text data. Let's see how to do it! Feb 19, 2025 · Steps to Create a Parrot-Shaped Word Cloud. The size of words are dependent on the occurrence frequency (text’s . Jan 25, 2021 · To create a word cloud with the shape of an image, you should find an image that is suitable to be a mask for word clouds. Increase resolution with true word-cloud. In addition to the mask, Python word_cloud allows the user to use the original colors of the image to set the colors of the words. As a result, we decided to use frequency value as value count. (string) 을 이용해서 해당 문장을 넣게 됩니다. okt = Okt() okt = Okt() ### 위 4개중 원하는 형태소분석기를 사용하면 됨 # 영어 nlp import nltk from nltk. show() since that is determined by your screen, but you can increase the size. Import required libraries (wordcloud, matplotlib, numpy, PIL) Load a custom mask image (parrot shape example) Extract colors from the image using ImageColorGenerator; Process text (remove stopwords, clean words) Generate a WordCloud using the mask and color mapping; Display the final word cloud Apr 5, 2020 · This is done by using an image as a mask; you provide the WordCloud object a numerical representation of an image with a white background, and the wordcloud will only draw words in positions where the image is not white. To make sure that your mask works, let's take a look at it in the numpy array form: Nov 18, 2021 · 文章浏览阅读8. As Addie's Husband is a romance, it seems appropriate that the mask we use should be a heart. Keep in mind the background of the image used must be white, otherwise, the system will consider the background as an object. Using Masks for Word Cloud Visualization. Importing and Preparing the Mask Image. As we know we have created a variable as a mask assign it to the mask parameter. 이 코드는 mask를 다루는 부분, font를 다루는 부분, word를 다루는 부분으로 나뉜다. May 1, 2020 · The problem is that some of images are not suitable for masking. To make the word cloud visualization more visually appealing, we can use image masks to Shape the word cloud according to a specific pattern or design. wc = wordcloud. By default, it takes a rectangle. array somewhat mismatches. tag import * # 모든 형태소분석기 import 하기 #1. The reason is that the color's np. 6. We set the width of the mask image is as 3. To solve this, following can be done: 1. kkma = Kkma() #3. tokenize 准备 导入必要的库 from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator 生成mask/mask transform 总的来说：就是通过导入自己相要的图片作为mask遮罩 mask遮罩其实是一个代表形状的二维数组，所以我们要通过np. Sep 16, 2022 · Image by Author. 2、主要方法. Jul 17, 2020 · 3. 6k次，点赞8次，收藏26次。本文介绍了如何在Python中使用wordcloud自定义背景图片，并解决mask无效的问题。通过导入图片并转化为二维数组作为mask，以及调整mask格式，确保wordcloud能够正确显示图片形状。同时，讨论了字云颜色按图片设定的方法。 In this article, we have discussed how to create a cloud mask and set stop words, generate and save a word cloud, and complete implementation of word cloud using Python. Apr 17, 2018 · Mask with image. 아래 그림의 검은 부분을 단어가 들어가야 하는 부분이라 인식하고, 이 부분 안에 글자를 입력합니다. Contour_width: This parameter creates an outline of the word cloud mask. 먼저 필요한 패키지들을 불러오는데, numpy와 random, palettable은 font 색 설정할 때, PIL은 mask 이미지를 처리할 때, wordcloud는 이 모든 것을 이용해서 Sep 8, 2020 · Applying mask and image with WordCloud in Python. This post aims to generate a wordcloud with a specific shape in python using the image of your choice. Jan 20, 2024 · 在WordCloud模块中生成不同形状的词云图，可以通过使用mask功能来实现。首先，需要准备一张素材图片，如上图所示，网页搜的图片，有时间的话自己Ps扣一下背景图，这样显示的效果更好，该图片将被用作词云的形状。 Create wordclouds with Python and matplotlib with the wordcloud library. Jun 2, 2021 · 本文详细介绍了如何使用Python的wordcloud库生成词云图，包括设置字体、停用词、蒙版、颜色等。 通过示例展示了从词频统计到词云图的生成过程，并提供了两种不同的处理方式。 此外，还讲解了如何自定义词云颜色，包括使用图像颜色和预设颜色列表。 摘要生成于 C知道 ，由 DeepSeek-R1 满血版支持， 前往体验 > import matplotlib. Pillow , a fork of Python Imaging Library (PIL), will be used for making a copy of the original image to work with. generate("Hello Hello I'm fine") Feb 23, 2023 · Not all mask images have the same format resulting in different outcomes, hence making the WordCloud function not working properly. By following these steps and using the appropriate libraries, you can easily create stunning word clouds in Python. 1. Aug 15, 2021 · mask: Specify the shape of the word cloud image. (2) wordcloud. without blurring. wordclound库基本介绍1. 문장으로 Word Cloud 생성하기 (1) WordCloud 객체를 생성해서 generate. from matplotlib import colors. Modules from the os library, including the os. Feb 16, 2024 · 6. I will use the following image as a mask. 1wordcloundwordcloud是优秀的词云展示第三方库词云以词语为基本单位，更加直观和艺术的展示文本1. The solution I ended-up with: If your picture has a distinct background, use any online tool to remove the background color from your image. We set max_words = 500 for the Sep 6, 2023 · Add Custom Mask Next we will add a mask for the word cloud. wordcloud package 의 가장 큰 장점은 image mask 안에 단어를 넣을 수 있는 기능이라 생각합니다. In addition, the background cannot be transparent, because transparent colors will be considered black. pyplot as plt. Jan 17, 2020 · # 데이터 조작 관련 import pandas as pd import numpy as np import re # 한국어 nlp from konlpy. For this, we will use the mask parameter of the WordCloud function from the wordcloud library. hannanum = Hannanum() #2. May 20, 2018 · The primary issue I was facing was that the image I wanted to use as my mask for my wordcloud did not have a white (RGB 255,255,255) background. corpus import stopwords from nltk. 2 wordcloud库的安装二、wordcloud库使用说明2. Change the background color, the stopwords, the color map and mask a shape or an image to create wordclouds with a customized shape wordcloud是Python扩展库中一种将词语用图片表达出来的一种形式，通过词云生成的图片，我们可以更加直观的看出某篇文章的故事梗概。 首先贴出一张词云图（以哈利波特小说为例）： 在生成词云图之前，首先要做一些… Jan 30, 2021 · python词云生成-wordcloud库一. This allows it to scale, zoom, etc. path module , will allow us to access the folders and files in our project’s directory. btgd uryju rktoy qtnw zmmx gbfqq glh gumaomg vtthw reujhs zfem hqha fyic ydb kkz