word_cloud | A little word cloud generator in Python | Generator Utils library

 by   amueller Python Version: License: MIT

kandi X-RAY | word_cloud Summary

kandi X-RAY | word_cloud Summary

word_cloud is a Python library typically used in Generator, Generator Utils applications. word_cloud has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install word_cloud' or download it from GitHub, PyPI.

A little word cloud generator in Python. Read more about it on the [blog post][blog-post] or the [website][website]. The code is tested against Python 2.7, 3.4, 3.5, 3.6 and 3.7.

            kandi-support Support

              word_cloud has a medium active ecosystem.
              It has 9489 star(s) with 2301 fork(s). There are 223 watchers for this library.
              It had no major release in the last 12 months.
              There are 85 open issues and 409 have been closed. On average issues are closed in 372 days. There are 21 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of word_cloud is

            kandi-Quality Quality

              word_cloud has 0 bugs and 0 code smells.

            kandi-Security Security

              word_cloud has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              word_cloud code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              word_cloud is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              word_cloud releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed word_cloud and discovered the below as its top functions. This is intended to give you an instant insight into word_cloud implemented functionality, and help decide if they suit your requirements.
            • Return a dict containing the cmdclass for this project
            • Create a ConfigParser object from root
            • Get the project root directory
            • Get the list of installed versions
            • Generate an image
            • Convert mask image to boolean mask
            • Draw a contour
            • Parse command line arguments
            • Generate a single color function
            • Create an argument parser
            • Recolor the layout
            • Check that the wordCloud has been generated
            • Generate a model from text
            • Generate from text
            • Save the scene to a file
            • Convert to image
            • Create the versioneer config file
            • Install versioneer
            • Extract version information from the VCS
            • Scans the given setup py py file
            • Processes text using jieba
            • Fits a list of words
            • Generate a multidict for a given sentence
            • Creates an image from text
            • Convert to numpy array
            • Generate a PNG image
            Get all kandi verified functions for this library.

            word_cloud Key Features

            No Key Features are available at this moment for word_cloud.

            word_cloud Examples and Code Snippets

            generate-word-cloud.py,How to use it?,1.
            Pythondot img1Lines of Code : 3dot img1License : Strong Copyleft (GPL-3.0)
            copy iconCopy
            # Directly:
            sudo pip install matplotlib docopt word_cloud
            sudo pip install -r requirements.txt
            word_cloud - wordcloud cn
            Pythondot img2Lines of Code : 45dot img2License : Permissive (MIT License)
            copy iconCopy
            # - * - coding: utf - 8 -*-
            create wordcloud with chinese
            Wordcloud is a very good tool, but if you want to create
            Chinese wordcloud only wordcloud is not enough. The file
            shows how to use wordcloud with Chinese. Fi  
            word_cloud - colored by group
            Pythondot img3Lines of Code : 35dot img3License : Permissive (MIT License)
            copy iconCopy
            #!/usr/bin/env python
            Colored by Group Example
            Generating a word cloud that assigns colors to words based on
            a predefined mapping from colors to words
            from wordcloud import (WordCloud, get_single_color_func)
            word_cloud - a new hope
            Pythondot img4Lines of Code : 31dot img4License : Permissive (MIT License)
            copy iconCopy
            #!/usr/bin/env python
            Using custom colors
            Using the recolor method and custom coloring functions.
            import numpy as np
            from PIL import Image
            from os import path
            import matplotlib.pyplot as plt
            import os
            import random
            My main.py script is running in pycharm IDE but not from terminal. Why is this so?
            Pythondot img5Lines of Code : 6dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            . venv/bin/activate
            source venv/Scripts/activate
            pip install -r requirements.txt
            Python WordCloud - How to make the word colour based on a data column
            Pythondot img6Lines of Code : 77dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import pandas as pd
            import matplotlib.pyplot as plt
            %matplotlib inline
            from wordcloud import (WordCloud, get_single_color_func)
            from collections import Counter
            import random
            #get sample dataset
            df = pd.read_csv('https://gist.github.com/ti
            Using multiple HTML buttons to pass if else function in Flask
            Pythondot img7Lines of Code : 57dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            {% if value %}
            {% endif %}
            @app.route('/insight_1', methods=['GET', 'POST'])
            def wordcloud_1():
                # Default value
                value = None
                if request.method == 'POST':
            Wordcloud - relative font size amongst multiple instances?
            Pythondot img8Lines of Code : 32dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import matplotlib.pyplot as plt
            import wordcloud
            wl1 = {'word1': 10, 'word2': 40}
            wl2 = {'word3': 20, 'word4': 80}
            wl3 = {'word5': 40, 'word6': 160}
            # get max word count per list
            w1 = max((v for k,v in wl1.items()))
            w2 = max((v for k,v i
            Python export wordcloud to pdf
            Pythondot img9Lines of Code : 6dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            to_array()                                       Convert to numpy array.
            to_file(filename)                                Export to image file.
            to_svg([embed_font, optimize_embedded_font, …])  Export to SVG.
            Multiple Wordcloud plots with specific shape
            Pythondot img10Lines of Code : 26dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import numpy as np
            import pandas as pd
            import seaborn as sns
            import matplotlib.pyplot as plt
            from wordcloud import WordCloud
            plt.rcParams['figure.figsize'] = [20, 15]
            topics_df = pd.DataFrame({'Unnamed: 0': {0: 'Topic1', 1: 'Top

            Community Discussions


            Python WordCloud - How to make the word colour based on a data column
            Asked 2022-Jan-28 at 19:03

            I have a list of film titles that I want on a Word Cloud, but the colours of the films depending on the film category (e.g. Drama, Comedy etc.) rather than completely random.

            The data is in the form of a CSV, one column 'title' the other 'category'. I have the following code so far. I feel like I need to use the argument "color_func", but am not sure how.



            Answered 2022-Jan-28 at 19:03

            Ok, I have adapted your code to include the sample color mapping code. As mentioned, your code doesn't do a word count, but a count of full titles (apparently wordcloud randomizes the size of the titles a bit if their frequencies are all the same to make the words fit the image; in the example below Mamma Mia! and Gnomeo and Juliet feature twice, the other films once):

            Source https://stackoverflow.com/questions/70883110


            css "tooltips" for both mouse hover & keyboard focus
            Asked 2021-Sep-08 at 08:28

            I have a website where I document a list of installed pythonic libraries.

            For each library, I want to have available:

            • The name of the library (obviously)
            • A link to the documentation for the library (because documentation is useful)
            • A brief description of the library (so people can quickly see what the library does)
            • The currently installed version (to stop people asking me "Are you using version x.y?")

            My current solution is to use the name as the text of a link, href'd to its documentation, and accept that the version & description are supplementary information, and can be made available to the user using a tool-tip - so they can sit in a title attribute




            Answered 2021-Sep-08 at 08:25

            Use focus-within rather than focus

            Source https://stackoverflow.com/questions/69099284


            Elasticsearch significant terms aggregation doc_count differs from hits when doing a match phrase search for the same term
            Asked 2021-Feb-08 at 06:56

            I am using the significant terms aggregation, which gives me n significant terms with their doc_count and bg_count using the following query:



            Answered 2021-Feb-08 at 06:56

            This behaviour is because the data regarding doc_count is fetched from all shards of your index, and this data could be approximate in case of significant terms aggregation. Quoting elastic search documentation:

            The counts of how many documents contain a term provided in results are based on summing the samples returned from each shard and as such may be:

            • low if certain shards did not provide figures for a given term in their top sample
            • high when considering the background frequency as it may count occurrences found in deleted documents

            Like most design decisions, this is the basis of a trade-off in which we have chosen to provide fast performance at the cost of some (typically small) inaccuracies. However, the size and shard size settings covered in the next section provide tools to help control the accuracy levels

            Source https://stackoverflow.com/questions/66039202


            JS function create multiple div when running with new data
            Asked 2021-Feb-03 at 03:49

            I am really new to HTML and working on this simple task for hours.

            I have dynamic data that use it to create a word cloud, the problem is when data changes, my js function make a new div and therefore a new word cloud but I want to update the last one, something look dynamic.

            here is my js code:



            Answered 2021-Feb-03 at 03:49

            There is no need to recreate the chart completely to update the data. The best practice here is to apply new data to the existing chart. For details check the sample.

            Source https://stackoverflow.com/questions/66018222


            How to Generate Word Cloud with + Symbol
            Asked 2021-Jan-17 at 10:50

            I am trying to generate a word cloud where a word has a + symbol in it. I am aware that the + symbol has special meaning in RegEx, and I am also aware there is a regexp parameter in WordCloud(). However, I am not sure how to adjust this to allow for the + to show in the word cloud output?

            Below is my current code:



            Answered 2021-Jan-17 at 10:50

            I assume that by default WordCloud is using only words (e.g. regex similar to r'\w'). In order to treat + sign as part of the word I suggest you go along these lines:

            Source https://stackoverflow.com/questions/65749888


            How to save an SVG string to file in python
            Asked 2020-Nov-23 at 21:37

            I'm using this wordcloud generator to do as the name suggests, and would like to save the contents as .svg. The library has a to_svg() function, which returns a string. It also has a to_file() which doesn't save in this format.

            Is there any way to use pyplot's savefig function to save the string output from to_svg() to a file?



            Answered 2020-Nov-23 at 21:37

            It doesn't use pyplot.savefig, but it needs nothing beyond the wordcloud library you linked and Python itself:

            Source https://stackoverflow.com/questions/64976770


            Most efficient way to concatenate words from a big CSV file: pandas or Python standard library?
            Asked 2020-Oct-16 at 16:57

            I'm trying to do a textual analysis and have collected my data into a CSV document with three columns. I'm trying to combine all the text from the second column into a single string to perform some word analysis (word cloud, frequency etc.) I've imported the CSV file using pandas. In the code below, data is a DataFrame object.



            Answered 2020-Oct-16 at 14:38

            The most obvious improvement is concatenating python string as below (This is a pythonic way):

            words = " ".join((str(msg).lower() for msg in data["comment"]))

            The way you use generates new string on each concatenation because strings are immutable in python.

            You can find more info here or here

            Source https://stackoverflow.com/questions/64390756


            plot Word cloud without stopwords
            Asked 2020-Jul-13 at 08:53

            Iam looking to plot Wordcloud using a column in my pandas dataframe

            here is my code:



            Answered 2020-Jul-13 at 08:53


            How to print top words from wordcloud
            Asked 2020-Jul-07 at 19:11

            I have a word cloud generated using the wordcloud library. I got an image of the wordcloud. Now I want a list of the top x words of the wordcloud. How do I do that? I don't want the most frequent words. I want the most frequent and most important words which is what the image shows.

            Here is the wordcloud library: link



            Answered 2020-Jul-07 at 19:11

            Is this what you want?

            Source https://stackoverflow.com/questions/62782130


            python remove punctuation email spam
            Asked 2020-Jun-18 at 13:59

            Trying to remove punctuation from the list of words. New to python programming so if someone could help that would be great. The purpose of this is to be used for email spam classification. Previously I had joined the words after checking to see if punctuation was present, but this gave me single characters rather than whole words. After changing it to get words this is what I have below so now trying to remove the punctuation as won't work the same as I did before.



            Answered 2020-Jun-18 at 13:59

            Based on your question, I assume that you have a list of emails, which for each email you would like to remove the punctuation marks. This answer was based on the first revision of the code you posted.

            Source https://stackoverflow.com/questions/62448491

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install word_cloud

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            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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