types of data visualization

Since July 8, when the United States and South Korea jointly announced the deployment of the Sade anti-missile system in South Korea, the domestic controversy over the matter and the strong dissatisfaction of some countries in the region continued to ferment. "Sade" (THAAD), the "last High Altitude Zone defense system", is the U.S. Missile Defense Bureau and the United States Army under the land-based war zone antimissile system. South Korea, ignoring the interests of China, Russia and other reg

[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, facecolo

Python folders like data visualization Import Matplotlib.pyplot as Plt Import Matplotlib.image as Mpimg Import NumPy as NP Import Urllib2 Import Urllib Import OS Import Shutil Subdir= "/7" Homedir = OS.GETCWD () + subdir # "/home/haoyou/dev/last_caffe_with_stn/myprojects/spn-mnistcluttered/mnist-cluttered/" +subdir Import OS def walk_dir (dir,fileinfo,topdown=true): For

varMyChart = Echarts.init (document.getElementById ("Container"));//To set up related items, that is, the so-called lap skeleton, easy to wait Ajax asynchronous data filling varoption = {title: {text:' name Age Distribution chart '}, tooltip: {show:true}, Legend: {data: [' age ']}, Xaxis: [{data:names}], YAxis: [{ Type:' value '}], series: [{"Name":"Age","Type":"Bar","

the internal relationship of data. The interactive GUI is a good choice for interactive support.MayaviThis is a 3D graphics toolkit based on the open source C + + graphics library VTK. can be integrated into Ipython for interactive use.Other librariesOther libraries or applications include: PYQWT, Veusz, Gnuplotpy, Biggles, and so on, and large libraries are developing to web-based technologies and moving away from desktop graphics technology.The fut

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

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

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

an unknown chemical composition of the gel, you use this concrete to build a block brick, if there is a three-dimensional array , will brick X, Y, The distribution of the material in the c12>z direction is expressed, then the array can be called the body data. The so-called polygon data , not the two-dimensional plane data, but that the

the drag event listener.//Draw Rectangle nodeNodes.append ("Rect"). attr ({x: function (d) { returnd.x; }, Y: function (d) { returnD.y; }, Height: function (d) { returnD.dy; }, Width:sankey.nodeWidth (), fill:"Tomato"}). Call (D3.behavior.drag (). Origin ( function(d) { returnD }). On ("Drag", DragMove));This .origin(function(d) { return d; }) is to prevent jumps when dragging, the corresponding drag event listener is:// 拖动事件响应函数function dragmove(d) { d3.select(this).attr({ "x"Math.m

(true, Which= ' Major ') #x坐标轴的网格使用主刻度ax. Yaxis.grid (true,which= ' major ') #x坐标轴的网格使用主刻度plt. Xlabel (' time/t ', Fontsize= ' Xx-large ') #Valid fontsizearelarge,none,medium,smaller, small,x-large,xx-small,larger,x-small,xx-largeplt.ylabel (' Y-label ', Fontsize= ' Xx-large ') plt.title (' title ', fontsize= ' Xx-large ') Plt.xlim (0,110) Plt.ylim (0,1) line1, =ax.plot (x,y, ' g.-', label= "category One",) Line2,=ax.plot (x,y2, ' b*-', label= "category II",) Line3, =ax.plot (x,y3, ' rd-', la

CSDN open-source summer camp Baidu data visualization practices ECharts (8), csdnecharts(1) Preface First of all, I would like to thank Mr. Lin Feng for continuing with the content mentioned in Article 7. The CSS layout is indeed very tired and I feel like I am not able to adjust it. I will not talk much about it. Today, I will explain the content of a page. I will introduce the CSS layout in detail later.I

AngularJS for data visualization Preview We will study how to use AngularJS to visualize data such as bar charts and line charts. Shows the effect.You can go to codepen-Online Preview-download favorites-Effect VcD4KPGgyIGlkPQ = "analysis"> Analysis To implement this case, you must have the following elements:AngularJS basics ng-repeat svg draw line passion

Plugin Introduction:Compared with traditional text charts, visual data can help users to analyze data more conveniently, and can be viewed, processed, developed and applied more intuitively. Plotly is a tool for making visual data online, providing you with services such as charting and analysis, supporting any format, such as Excle spreadsheets, TSV, Matlab, CSV

, normal + 1, normal + 2 ); Glnormal3fv (normal ); } If (strhead = "outer ") { Fscanf (FP, "% s \ n", strline. getbuffer (20 )); Glbegin (gl_polygon ); For (INT I = 0; I { Fscanf (FP, "% s \ n", strline. getbuffer (20 )); Strline. trimleft (); If (strline = "vertex ") { Fscanf (FP, "% F \ n", vertex, vertex + 1, vertex + 2 ); Glvertex3d (vertex [0], vertex [1], vertex [2]); } } Glend (); Continue; } Else if (strhead = "endloop" | strhead = "endfacet ") { Continue; } Else if (strhead = "endso

': ' Spring air ', ' value ': ' 601021 '},], value= ' 600933 '), DCC. Graph (id= ' my-graph ')]) @app. Callback (Output (' my-graph ', ' figure '), [Input (' My-dropdown ', ' value ')] def update_graph (selected_dropdown_value): # df = web. DataReader (# selected_dropdown_value, data_source= ' Yahoo ', # START=DT (2018, 1, 1), End=dt.now () #) d f = Ts.get_k_data (Selected_dropdown_value, ktype= ' 30') return {' data ': [{' X ': Df.index, ' y ':d f.c

[D3.js data visualization practices] -- (1) Draw gridlines and d3.js Grids We often use regular charts (histograms, line charts, and so on) to present data. To clearly indicate which value range of the data on the number axis, the value is directly indicated in the rectangle and point. In addition to this method, you c

Mainly used GrayplotLottery color Ball Draw data visualization:Http://www.gdfc.org.cn/datas/history/twocolorball/history_1.html001,03,09,15,20,27,29,01002,04,21,23,31,32,33,04003,06,10,11,28,30,33,12...Cp.scem=152;n=8; g= read (' D:/scilab-5.3.3/exercise/cp2014.txt ', m,n); Grayplot (1:M,1:N,G);Happy 10 minutes Lottery data visualization:Http://www.gdfc.org.cn/datas/history/keno/history_1.html01 06 18 15 02

Problem Description: Run the following program to generate the hotel turnover simulation data file in the current folder Data.csvThen complete the following tasks:1) Use Pandas to read the data in the file Data.csv, create the Dataframe object, and delete all of the missing values;2) Use Matplotlib to generate line chart, reflect the daily turnover of the hotel, and save the graphic as a local file first.jp

For example, the Python Tornado framework for data visualization tutorial, pythontornado Extended modules used Xlrd: An extension tool for reading Excel in Python. You can read a specified form or cell.Installation is required before use.: Https://pypi.python.org/pypi/xlrdDecompress the package and cd it to the decompressed directory. Execute python setup. py install. Datetime: Python built-in module for da