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Basic Environment for Python data analysis and visualization

First set up the basic environment, assuming there is already a Python operating environment. Then need to install some common basic library, such as NumPy, scipy for numerical calculation, pandas for data analysis, Matplotlib/bokeh/seaborn for data visualization. And then on demand to load the library of data acquisition, such as Tushare (http://pythonhosted.org/tushare/), Quandl (https://www.quandl.com/) and so on. There are also a number of free da

Object-oriented object visualization of Python

Continue with the previous example: http://blog.51cto.com/lavenliu/2126344Look at the example of the plural in the front, add the __str__ attribute here,class Complex: def __init__(self, real, imag): self.real = read self.imag = imag def __add__(self, other): return Complex(self.real + other.real, self.imag + other.imag) def __sub__(self, other): return Complex(self.real - other.read, self.imag - other.imag) def __str__(self): if self.imag >= 0:

Four ways to get you through. Data Visualization interface Design

Dashboards, big data, data visualization, data analysis-more and more people and businesses are starting to use their data to do something interesting. In my career, I have been privileged to participate in a large number of data-oriented interface design, and I would like to share some ideas about how to create this particular and meaningful product. A lot of people have discussed this topic and I will focus on the most influential part of the creat

Flash AS3.0 constructs a simple sound visualization program (wave pattern)

This example is a flash AS3.0 example tutorial, in the tutorial we will learn to use the Soundmixer.computespectrum () method to build a simple sound visualization program (that is, wave diagram), hoping to bring help to friends ~ ~ AS3.0 constructs a simple sound visualization program (wave pattern): Use the Soundmixer.computespectrum () method to display the Sound Wave chart: import Flash.display.Grap

"Programming WPF" translation 9th Chapter 5. Default visualization

Although the ability to provide a custom look for a control is useful, developers should be able to use one control without having to provide custom visualization. This control should work exactly as it is used in its most direct way. This means that the control should provide a default set of values. These default visualizations are stored in the component's binary resources, and the source file used is theme "Generic.xaml." If you created a project

Python Simple Combat Project: "Ice and Fire song 1-5" role relationship map construction--The visualization of __python

The same series of posts:Python Simple Combat Project: "Ice and Fire song 1-5" Role relationship map constructionPython Simple Combat Project: "Song of Ice and Fire 1-5" construction of role relationship map--Database designScrapy+redis+mongodb distributed crawler crawl novel "Ice and Fire song 1-5" Let's get a gephi to draw a cool figure diagram. Each node in the diagram represents a role, the connection between the node and the node is shared, and the thickness of the line indicates how often

Baidu Statistics 3.0 Metamorphosis: To simplify the presentation of key data visualization

"Today" data, to facilitate timely attention to the latest data, while grasping the trend of data changes. Data visualization: Complex data, clear and present Data visualization mainly means communicating and communicating information clearly and effectively with the help of graphical means. The proportion of new and old visitors: visitors attribute to the webmaster is more important, the design we ex

Tensorboard Visualization of simple convolutional neural networks

Tensorboard is an official visualization tool provided by TensorFlow. The data in the model training can be summarized and displayed. This article is based on the tensorflow1.2 version. This version of the Tensorboard interface is shown in figure:Image.png The Tensorboard supports 8 visualizations, which are the 8 tabs in the figure above, namely: scalars: Scalar curve. Changes such as accuracy, loss rate, weight, and bias. Tf.summary.scalar () in the

The visualization of the MongoDB database

Tags: linux edit str file cmd mongod based on HTTPS aboutVisualization Tool: Robomongo 1.0 Do not have the tools to download the students themselves, the following about the visualization of some basic operations Connect to the database: Here we connect the MongoDB database in Windows Local and the MongoDB database inside the Linux virtual machine    Data lookup: The button behind the page Turn button is the way the data is displayed    Data query   

AWT visualization interface uploads data to mysql,jsp queries the database in JDBC mode and prints the results on the Web page

Today, try to write a small demo implementation of the code that was seen before, the purpose of understanding the different files of data access, how to get the foreground data, how to put the database data on the front page display.The AWT visualization interface enables you to submit data to a database or query data for printing in the console.Web engineering: Mainly web foreground input and submit data, then display the database content on another

[MongoDB] Visualization tool Robomongo

SummaryAccustomed to visualizing the way of managing data, by knocking commands, it's really uncomfortable. A MongoDB visualization tool is recommended here--robomongoRelated articlesGetting started with [MongoDB][MongoDB] additions and deletions change[Mongodb]count,gourp,distinct[Mongodb]mapreduce[MongoDB] Profiling Performance Analysis[MongoDB] IndexMongodb C # Additions and deletions changeMongoDB Training[MongoDB] Array operationsRobomongo: Https

[MAC] flight logs (log) visualization

1. There are two ways of log visualization:1) Web version: URL, upload log file!2) Flightplot.2, Flightplot installation Configuring the PX4 development environment on your Mac (configuration method) Open terminal and execute the following statement:>>cd ~>>git clone --recursive https://github.com/PX4/FlightPlot.git>>cd FlightPlot>>ant>>open out/production/flightplot.jar #即可运行FlightPlot,以后直接执行本语句即可 3. How to use Flightplot Open log, sel

Tensorboard Visualization in Ubuntu environment does not show data problems no scalar data was found ... (the author's pro-Test is effective) (turn)

Tensorboard:tensorflow comes with a visual tool. The chart visualization with Tensorboard encountered a problem that the chart does not display.Environment: Ubuntu systemRun the code to get the TensorFlow event file logs, for example the path is:/home/wang/tensorflow/logs, logs also contains train and test. At this point, Tensorboard runs by reading the event file by typing the command in cmd: tensorboard--logdir=log file path. According to our curren

Python Data visualization--matplotlib user manual Getting Started: Pyplot drawing

[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

A discussion on the Pygal module of Python real-data visualization (Basic article)

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

Python Project---data visualization (02)

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

Operation and visualization of Mnist dataset under TensorFlow __caffe&tensorflow&keras&theano

From tensorflow.examples.tutorials.mnist import Input_data First you need to download the data set by networking: Mnsit = Input_data.read_data_sets (train_dir= './mnist_data ', one_hot=true) # If there is no mnist_data under the current folder, the folder is created first, Then download the mnist dataset Partition of training set and test set: X_train, Y_train = Mnist.train.images, mnist.train.labels # returns X_train is a multidimensional array under NumPy, (55000, 784) X_test, y_

Calculation and visualization of Gauss curvature on triangular mesh surface

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

The use of "Python data visualization" Pyecharts __python

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%

Julia: An attempt to visualize the back-test based on CTA strategy _ Visualization

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

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