The final review compared busy time to write Scrapy framework use, today describes how to use Python to generate word cloud, although there are many word cloud generation tools on the Web, but their own python to write is not a more fulfilling sense.
Today to generate is inspirational song
:%d \t\t end:%d"% (w[0],w[1],w[2]) Result: Word Chinese start:0 end:2word Chinese start:1 End:3Word people start:2 End:4Word Republic start:4 End:6Word Republic start:4 End:7Word People's Republic of start:0 end:7word Viva Start:7 End:9Word! Start:9 End:10Simple example: Read a text field, Word breaker, and custom drawing from a SQL Server database#-*-coding:utf-8-*-ImportpymssqlImportJiebaImportJieba.analy
# This is a function of image processingFrom Scipy.miscImport ImreadFrom WordcloudImport Wordcloud, Stopwords, ImagecolorgeneratorImport Matplotlib.pylabAs Plt# parse PictureBack_color = Imread ("./veer-141001498.png")# Set Font pathFont ="C:\Windows\Fonts\STXINGKA. TTF "WC = Wordcloud (Background_color="White",# background Color max_words=500,# Maximum number of words Mask=back_color,# Mask, generate the area of the word
Use Python to crawl Weibo data to generate word cloud image instance code,
Preface
I wrote an article about how to use Weibo data to create Word cloud images. I did not write it completely, and I can only use my own data. Now I have reorganized it, any Weibo data can be produced. The annual abuse festival is about whet
From the completion of CentOS installation to the generation of word cloud python instance, centospython
Preface
My life is short. I use python. How can I skip word cloud when learning python?
So I got the notes recorded while practicing.
Environment: VMware 12pro + CentOS7 + Python 2.7.5
Install the system
We have bee
Given a piece of text, this code parses the word frequency distribution of the text, generating the tag cloud
/**
* Tag Cloud Demo based on word frequency
* @author: Unknown
* @since: 2007-02-27
*/
Store frequency of words in an array
$freqData = Array ();
Configure cloud input for Fcitx input method
Why the Candidate box shows the ellipsis
When you use FCITX to enter Chinese, you can often see the second or third of the candidate words appear as ellipses, which is actually a FCITX candidate for cloud adaptation. Because the FCITX by default is Google, and Google on the mainland is not normal access, so the candidate wo
The first step: introduce the relevant library package:#Coding:utf-8__author__='Administrator'ImportJieba#Word breaker PackageImportNumPy#NumPy Calculation PackageImportCodecs#codecs provides the open method to specify the language encoding of the opened file, which is automatically converted to internal Unicode at read timeImportPandasImportMatplotlib.pyplot as Plt%Matplotlib Inline fromWordcloudImportWordcloud#W
convert Python source code into a program that can run out of the Python interpreter.Earlier wrote an article How to use micro-blog data to make the word cloud image, before the incomplete, and can only use their own data, now re-organized, any micro-blog data can be produced, put in today should be compared to the occasion.This article teaches you how to use Python to quickly create a
Recently in the busy exam things, there is no time to knock code, one months also not a few days to see the code, recently saw the visual word cloud, see the Internet is also a lot of such tools,But not perfect, some do not support Chinese, some Chinese word frequency statistics are inexplicable, some do not support custom shapes, all can not customize the colorS
To you QQ cloud Input Method software users to detailed analysis to share the QQ cloud input method to close the candidate Word box/Empty the input shortcut keys.
Analytical sharing:
QQ Cloud Input method to close the candidate Word box/empty input shortcut key is
1Image= Image.open ('f:/__identity/course/Modelling/Jiuzhaigou earthquake/Sichuan map. jpg')2Fig = Plt.figure (figsize= (20, 16))3Graph =Np.array (image)4WC = Wordcloud (font_path='./fonts/simhei.ttf', background_color=' White', mask=graph)#font_path= './fonts/simhei.ttf ' Display Chinese5 #wc.generate (text) # Generate Word cloud, you can enter all the text with generate (Chinese bad
the type of IK participle
Set the type of the field that requires the word breaker to Test_ik
Modify these after uploading the configuration file to zookeeper
Replace a single profile, where the bank_link is my own directory name./server/scripts/cloud-scripts/zkcli.sh-zkhost Node2:2181,node1:2181,node3:2181-cmd putfile/solr/configs/ Bank_link/managed-schema server/solr/configsets/bank_link/conf/managed-
Chinese Word cloud code debugging and Chinese Language debugging
Word cloud is a very interesting thing.
Use jieba to break words and text into "mori.txt". In the "stopword.txt" List of deprecated words, the results of the deprecated words are good or bad, and the deprecated words are very important and need to be adju
specific code.BeautifulSoup crawl to talk aboutF12 view content can be found to say in Feed_wrap this, Inside theIn the tag array, the specific content of each wordClass= "BD"The label.At this point QQ said has climbed down, and saved in the Qq_word fileNext, create a word cloudWord CloudUse Wordcloud package to generate word cloud, pip install WordcloudHere can
To see what they do, I do what I do ~ even better than they do.------------------------------------------------------------Sina Science and technology Beijing time August 3 afternoon news, The U.S. cloud computing CRM software provider Salesforce is still a big acquisition to expand the category of cloud computing applications and services, the company has just announced the acquisition of
in this paper, we implement a text cloud diagram of arbitrary graphs using Python
modules to useThe text cloud requires two modules: Jieba and Wordcloud, which can be installed by using the Pip method:
Pip Install Jieba/wordcloud
When you install Wordcloud, you may experience an error:This situation can be installed in a different way, under the http://www.lfd.uci.edu/~gohlke/pythonlibs/#wordcloud find wor
,fileinchOs.walk (R'e:\ Job Information'): forNameinchFile:ifName.split ('.') [ -1]=='txt': Print(name) cloud (root,name,stopwords)Word Cloud:It can be seen that some noise words can not be removed, such as related, or the above academic qualifications and other invalid words. I would like to use DF to determine the stop word, but I climbed the tim
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