tensorflow visualization

In the previous article, although the results were correct, the result was an error at the end of the run: _1_input_producer:skipping cancelled enqueue attempt with \ not closed This is mainly because the main thread has been closed, but the read Data queue thread is still executing the team. This article from the "Understanding of TensorFlow Queue", the article on the TF queue is very detailed, benefit, it is necessary to reprint over. There are some

[0, 1].plot (data[0], data[1]) OneAxs[1, 1].HIST2D (data[0], data[1]) A -Plt.show ()5. Add Text: Axis label, property label1 ImportMatplotlib.pyplot as Plt2 ImportNumPy as NP3Mu, sigma = 100, 154x = mu + sigma * NP.RANDOM.RANDN (10000)5 6 #The histogram of the data7N, bins, patches = plt.hist (x, Normed=true, facecolor='g', alpha=0.75)8 9 TenPlt.xlabel ('Smarts') OnePlt.ylabel ('probability') APlt.title ('Histogram of IQ') -Plt.text (. 025, R'$\mu=100,\ \sigma=15$')#Support Latex Format -Plt.ax

die import Dieimport pygal# 实例化两个Die类对象die_1 = Die()die_2 = Die(10) # 注意这里传入10results = []for roll_num in range(50000): result = die_1.roll() + die_2.roll() results.append(result) # 将结果放入results列表frequencies = []max_result = die_1.num_sides + die_2.num_sides# 将实验的结果数据统计出每个数字出现的次数for value in range(2, max_result + 1): frequency = results.count(value) frequencies.append(frequency)# 绘制直方图# 实例化一个bar对象，对该对象的title、x_labels、x_title、y_title属性设置相当于在直方图设置。hist = pygal.Bar()hist.title = "Res

actually executes the imported module once, as follows:First look at the module being called test.py :def haha(): print("哈哈")haha()Look at the main program again main.py :import testprint("一条鱼")The execution results are:哈哈一条鱼How can you simply invoke the code without executing the called module? To be called module code is not executed, the premise is to know __name__ what the variable means, in short, if not involved in the module import, __name__ The value is " __main__ ", if the module is

, and a few menus for reporting. As shown in figure: Let's take a look at some of the features of Performance Monitor: Windows Performance Monitor uses performance counters, event trace data, and configuration information that can be merged into a data collector set. Performance counter: A unit of measurement that is a system state or activity condition. They can be included in the operating system or as part of an individual application. Windows Performance Monitor requests the c

In the process of Finereport this report software, it is often necessary to use the function is data analysis. And how the complex data, collation analysis, so as to draw clear findings, it is our learning Finereport the key to this software. The following small series for everyone to share the Finereport report how to data visualization analysis, I hope this tutorial can help everyone! 　1. b/S data source configuration Start the Web server (the FR

Turn from: http://www.cnblogs.com/haoyul/p/6910679.html For a long time did not write code, recently took the calculation of triangular mesh surface Gauss curvature practiced practicing, and realized the Gaussian curvature visualization, reviewed a little differential geometry knowledge. Feel sometimes still want to write the code, debugging and running, combined with the test results, in order to have a deeper understanding of the corresponding know

Echarts Baidu is very famous also very diao.Echarts is Baidu Open source of a data visualization JS library. Mainly used for data visualization.Pyecharts is a class library that is used to generate echarts charts. is actually the butt of echarts and Python. Url:Https://github.com/chenjiandongx/pyecharts/blob/master/docs/zh-cn/documentation.md#%E5%BC%80%E5%A7%8B%E4%BD%BF%E7%94%A8 http://pyecharts.org/#/zh-cn/charts?id=wordcloud%ef%bc%88%e8%af%8d%e4%ba%

Related library: WINSTON,TK. Features: Pure Julia to build, rare, hehe. Basic functions of back-Test visualization: It is easy to see the date of day trading in each transaction point, the day of each profit and loss situation. Do not go to the market to find and control, that too hard. With this analysis tool, we can greatly improve the efficiency of the analysis of the flow of the back-test transaction. It can be used in front of the pan or back. Yo

Time resampling of Pandas data Visualization (iii) Python+pandas generate the specified date and resampling-CSDN blog https://blog.csdn.net/LY_ysys629/article/details/73823803 Pandas Resample Method-Csdn Blog https://blog.csdn.net/wangshuang1631/article/details/52314944 —————————————————————————————————————————————————— Time Series Conversions: C=PD. Series (Np.random.rand (5), index= (Pd.date_range (' 20180130 ', periods=5, freq= ' D ')) #创建

What visualization can bring to the team. 1, help XXX project and XXXX Project can coordinate human resources well, ensure the smooth delivery of the project. 2, to help each member of the team to understand the participation of the project and the overall progress. 3, promote team communication and collaboration, and expose problems. The color and function of the note distinguishes yellow notes from the story, in the project bar, to the user delivere

Visual Description In the previous blog hog principle and OPENCV implementation, we explained the principle of hog algorithm. The final feature is a string of vectors, and we don't know exactly what it looks like, or whether it can reflect the difference between the target area and the non-target region. To solve this problem, we need to visualize the hog feature.The Hog feature first calculates the gradient of each pixel, then creates a sliding window, creates a sliding block in the sliding wi

20180825Because the SQLAlchemy does not support MongoDB database now, SQL Server is not very good, now mainly with MySQL database.Visualization of1. SQL Server, try not to use PD. Dataframe.to_sql writing data is a problemHttps://download.microsoft.com/download/3/C/7/3C77BAD3-4E0F-4C6B-84DD-42796815AFF6/SSMS-Setup-CHS.exeDownload SQL Server Management Studio (SSMS) 17.3, install and use2. mysqlThe MySQL installation file includes a server and a visualizer, all installed and described in the MySQ

4.1:ok, here is a variety of operations for Redis server, here only for trial demonstration, casually operation of the most common Redis commands, such as, adding and deleting changes and other 4.2: View the type of key, which may be used when parsing the cache 4.3: Take out all the keys that match and see what keys are available to prepare for the next query 4.4: View the type of key and the number of keys in the database 4-5: View information abou

Local use of the Hsql database for development, mostly integrated within the development tools, such as studio, often do not see the Hsql database, then how to view the Hsql database?You can use Hsql's own visualizer to run the Org.hsqldb.util.DatabaseManager class in the Hsqldb-*.jar packageJAVA-CP Hsqldb-2.2.9.jar Org.hsqldb.util.DatabaseManagerYou can see a simple visual interface for the following configuration:Recent: The most recent database configuration will be listedSetting Name: Settin

Recently, the Sixth International AJAX world RIA conference and exhibition were held in San Jose, California. Leading supplier ICEsoft technology-AJAX-based standard compatibility solutions-announced a technical partnership with ILOG. The results of the cooperation between the two parties will allow developers to use the ILOG-based Java Visualization Technology in ICEfaces to accelerate the construction of enterprise-class AJAX applications that can b

雷超. 企业办公及科研管理可视化系统的研究与开发[D]. 西安电子科技大学, 2011. Important Ideas(1) The first stage is marked by the appearance of a computer.The computer replaced the typewriter, and the memory replaced the file cabinet.(2) The second stage is marked by the presence of a database.Taking the structured data as the main processing and storing object, emphasizing on the computing and statistical ability of data, realizing the electronic of data statistic and document writing, completed the leap of office informati

Charts are an essential feature point for enterprise-wide Web development. is also "a concrete rendering of data visualization". Today I see Nanyi translation of the "Data Visualization: Basic Chart" article, while combing the company's current project use of the EChart2.0 class library. Nanyi's articles are also suitable for product managers and designers, as many product managers and designers are not abl

, as if exposed to an open source project, its opening layout, article content, text style are learning materials. Recent experience is more profound: blogging also reflects the characteristics of the blog, blogs, not papers, too much or too complex theoretical elaboration (unless necessary) will make most readers two eyes dim, limbs powerless; blogs, not elementary school sentences, too short or too little lack of overall coherence, just read a bit of feeling, okay, It's over without an orgasm,

In many practical problems, the data given is often visualized for easy observation.Today, the data visualization module in Python is--matplotlib this content system to make it easy to find and use. This article comes from a summary of "data analysis using Python" and some online blogs.1 Matplotlib Introduction Matplotlib is the leading authority of the Pythom Visualization library, and it is still the most