axis

Restricting a 3D object mouse drag movement to a plane in JavaFX

杀马特。学长 韩版系。学妹 提交于 2019-12-06 02:33:08
问题 I'm using JavaFX to move 3D cubes around by mouse drag. The cube should stay on the plane spanned by x and z axis. My solution works fairly well, however if I move the cube too fast with my mouse or when it encounters an object with a certain depth (y-Axis), it is assumed, that the mouse is moving on the y-Axis and the cube starts jumping forward or backwards. Is there a way to restrict the mouse to the xz-plane? A more complicated solution would be projecting the y length back to the xz

python numpy的基本操作

三世轮回 提交于 2019-12-06 01:09:23
站长资讯平台 :文章目录 0、NumPy 与 ndarry 1、数组属性查看:类型、尺寸、形状、维度 2、numpy元素中数据存储方式,数据类型,类型转换 2.1 查看元素数据存储类型 2.2 元素数据存储类型转换 3、List类型与numpy. ndarray类型的互相转换 4、创建 ndarray 数组 4.1 方法一:列表转换 4.2 zero,ones,empty函数创建特殊数组 4.3 arrange linspace 创建线性数组 5、矩阵的索引与打印 6、矩阵的运算 6.1 基础运算 6.2 点乘 6.3 其他矩阵特征运算 6.3 排序、转置、数值裁剪 7、其他操作 7.1 横纵向的拼接 7.2 矩阵添加或拼接新元素(append或concatenate) 7.3 新增维度 7.4 增减数组维度 7.5 矩阵的切片 7.6 reshape,ravel,flatten,transpose,shape,resize更改数组形状 8、常用操作 8.1 元素平方和 8.2 numpy转换成tensorflow的tensor LAST、未来得及添加的内容 0、NumPy 与 ndarry NumPy 是 Python 科学计算的基础包,它专为进行严格的数字处理而产生。 它提供: 快速高效的多维数组对象 ndarray; 直接对数组执行数学运算及对数组执行元素级计算的函数;

Add Different Labels to Secondary X-Axis of Levelplot in Lattice in R

喜欢而已 提交于 2019-12-06 01:05:22
I've managed to label the secondary X-axis in a levelplot using scale=list((alternating=3)) as solved by @KoenV here: How to Add Labels to Top X-Axis of Levelplot in Lattice Package Now this duplicates the primary X-axis labels onto the secondary X-axis as can be seen by running the code below. However, I need to add different labels to the secondary X-axis. Does anyone know how to do this? In the example below I would like to have 'hor' as the primary X-axis labels and 'hor2' as the secondary X-axis labels. library(lattice) #Build the horizontal and vertical axis information hor <- c("214",

Python numpy的基本操作你一般人都不会

拟墨画扇 提交于 2019-12-06 00:32:09
前言 本文的文字及图片来源于网络,仅供学习、交流使用,不具有任何商业用途,版权归原作者所有,如有问题请及时联系我们以作处理。 PS:如有需要最新Python学习资料的小伙伴可以加点击下方链接自行获取 http://note.youdao.com/noteshare?id=a3a533247e4c084a72c9ae88c271e3d1 来看正文: 0、NumPy 与 ndarry NumPy 是 Python 科学计算的基础包,它专为进行严格的数字处理而产生。 它提供: 快速高效的多维数组对象 ndarray; 直接对数组执行数学运算及对数组执行元素级计算的函数; 线性代数运算、随机数生成; 将 C、C++、Fortran 代码集成到 Python 的工具等。 它专为进行严格的数字处理而产生。多为很多大型金融公司使用,以及核心的科学计算组织如:Lawrence Livermore,NASA 用其处理一些本来使用 C++,Fortran 或Matlab 等所做的任务。 ndarray 是一个多维的数组对象,具有矢量算术运算能力和复杂的广播能力,并具有执行速度快和节省空间的特点。 ndarray 的一个特点是同构:即其中所有元素的类型必须相同。 1、数组属性查看:类型、尺寸、形状、维度 import numpy as np a1 = np.array([1,2,3,4],dtype

IfcAxis2Placement3D

那年仲夏 提交于 2019-12-06 00:11:47
The IfcAxis2Placement3D provides location and orientations to place items in a three-dimensional space. The attribute Axis defines the Z direction, RefDirection the X direction. The Y direction is derived. If the attribute values for Axis and RefDirection are not given, the placement defaults to P[1] (x-axis) as [1.,0.,0.], P[2] (y-axis) as [0.,1.,0.] and P[3] (z-axis) as [0.,0.,1.]. /* Generated By: IFC Tools Project EXPRESS TO JAVA COMPILER: Do not edit this file!! */ package ifc2x3javatoolbox.ifc2x3tc1; /** * This is a default implementation of the entity IfcAxis2Placement3D<br><br> *<br>

java调用C# webService发布的接口

青春壹個敷衍的年華 提交于 2019-12-05 23:57:11
java调用C# webService发布的接口 java调用C# webService方式有很多种我这里只介绍一种 首先需要引入axis的jar包 axis的maven坐标如下 <dependency> <groupId>org.apache.axis</groupId> <artifactId>axis</artifactId> <version>1.4</version> </dependency> 也可以到这个地址搜索然后复制坐标输入即可 https://mvnrepository.com/ 下面是调用列子代码: 1 //接口地址 2 String oaurl = Preferences.getInstance().getOAURL(); 3 String result = null; 4 try { 5 //命名空间我这里是例子代码随便写的命名空间地址(具体地址可以通过wsdl文件查看或者问接口提供方获取)) 6 String soapaction = "http://localhost.org/"; 7 Service service = new Service(); 8 //创建Call对象,Call对象用于调用服务 9 Call call = (Call) service.createCall(); 10 //设置webServiced的URL 11 call

Rescaling axis in Matplotlib imshow under unique function call

我怕爱的太早我们不能终老 提交于 2019-12-05 22:55:54
问题 I have written a function module that takes the argument of two variables. To plot, I had x, y = pylab.ogrid[0.3:0.9:0.1, 0.:3.5:.5] z = np.zeros(shape=(np.shape(x)[0], np.shape(y)[1])) for i in range(len(x)): for j in range(len(y[0])): z[i][j] = fancyFunction(x[i][0], y[0][j]) pylab.imshow(z, interpolation="gaussian") The image I get is the following: But when I tried rescaling the x and y axis to match the ranges of [0.3:0.9:0.1, 0.:3.5:.5] thru pylab.imshow(z, interpolation="gaussian",

Controlling axis ticks and axis lines separately on R lattice xyplot

*爱你&永不变心* 提交于 2019-12-05 19:33:26
问题 How can I go about removing the box around an xyplot , while keeping the axis scale tick marks? In the spirit of Edward Tufte's minimalist data graphic aesthetic, these axis lines are "non-data ink," and can (should?) be "erased." library(lattice) my.df <- data.frame(x=-10:10) my.df$y <- my.df$x^2 xyplot(y~x,data=my.df) It seems that the trellis display parameters (e.g. axis.line$col ) control both the axis lines and axis ticks together: xyplot(y~x,data=my.df, par.settings=list(axis.line=list

axis2 client namespace mismatch

血红的双手。 提交于 2019-12-05 19:32:57
在基于axis2进行WebService开发部署时(使用Java客户端调用服务)可能会报namespace mismatch require http://ws.apache.org/axis2 found http://ws.apache.org/axis2/xsd 这样的错误.根据本人的经验,当使用POJO这种方式开发时,Qname中的参数为http://ws.apache.org/axis2,在基于service.xml开发时其参数为http://service. 当然当命名空间报错时在Java开发环境下,可以从调试窗口发现类似的信息:Exception in thread "main" org.apache.axis2.AxisFault: namespace mismatch require http://service foundhttp://ws.apache.org/axis2 .将命名空间改为require后面的即可。 如下我的报错 Exception in thread "main" org.apache.axis2.AxisFault: namespace mismatch require http://fileserver.sdfr.com found http://service 我服务端发布的服务应该是红色报名,但是我的代码中用的是蓝色部分,所以报错

Turn off z-axis only in 3-d plot

一笑奈何 提交于 2019-12-05 18:47:19
问题 I have some mpl_toolkits.mplot3d surface plots that I am viewing from different angles. When viewed from directly above (elev = 90, azim = 90) the text of the z-axis is all piled up on top of itself. ax.set_axis_off() hides all of the axes, but I want to hide or turn off the z-axis but still see the x and y axes. How can I do it? 回答1: Most of the features are accessible via w_zaxis: In this case you can use: ax.w_zaxis.line.set_lw(0.) ax.set_zticks([]) 回答2: Though this question was posted a