axes

Hierarchy视图里的Transform和Camera组件

荒凉一梦 提交于 2019-12-06 18:32:39
Hierarchy视图里的Transform和Camera组件 在 Hierarchy 视图里,选中 Camera ,然后在 Inspector 视图里查看其各组件,如图 1-8 所示。对于 Transform 和 Camera 组件,对于使用过 Unity 的读者来说再熟悉不过本文选自 NGUI从入门到实战教程 。 但是其上名为 UICamera(Script) 的脚本组件,才是 NGUI 创建的 UI 控件所特有的。 提示: UICamera(Script) 脚本组件通常会被赋予特定的摄像机对象,而这些摄像机的特殊之处在于它需要与 UI 控件发生交互。即接收来自于 UI 控件的各种消息事件,例如,游戏界面上的特定按钮被点击的事件 本文选自 NGUI从入门到实战教程 。 图 1-8 Camera 里的各组件 UICamera(Script) 脚本组件包含了大量的属性: q Event Type :指定这个摄像机将会发送的事件类型; 提示:此属性包含了两个参数: World 和 UI 。前者表示事件来自于与 3D 世界中游戏对象的交互;后者表示事件来自于与 2D 控件的交互; q Event Mask :指定可以接收到事件消息的图层; q Allow Multi Touch :指定是否允许多点触控; q Sticky Press :指定当手指在一个按钮处按下

Formatting a 3d bar plot in matplot lib

会有一股神秘感。 提交于 2019-12-06 13:26:36
I am working with this code example from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt import numpy as np data = np.array([ [0,1,0,2,0], [0,3,0,2,0], [6,1,1,7,0], [0,5,0,2,9], [0,1,0,4,0], [9,1,3,4,2], [0,0,2,1,3], ]) column_names = ['a','b','c','d','e'] row_names = ['Mon','Tue','Wed','Thu','Fri','Sat','Sun'] fig = plt.figure() ax = Axes3D(fig) lx= len(data[0]) # Work out matrix dimensions ly= len(data[:,0]) xpos = np.arange(0,lx,1) # Set up a mesh of positions ypos = np.arange(0,ly,1) xpos, ypos = np.meshgrid(xpos+0.25, ypos+0.25) xpos = xpos.flatten() # Convert positions

How do I plot points with two different y-axis ranges on the same panel in the same X axis?

假如想象 提交于 2019-12-06 12:30:39
I am trying to create a scatterplot using ggplot that shares an X axis but has a Y axis with two different scales. The bottom of the Y axis has three scales from 0% to 0.1%, then 0.1% to 1%, and then finally regular intervals by 10%. An example from here : Is there a way to produce something like this in R using ggplot? Would I be modifying the axes? Overlaying several plots on the same panel? Or something else? David Robinson Generally discontinuous axes are not recommended within ggplot2, for reasons explored in this question . Hadley Wickham (creator of ggplot2) explains here : I'm not a

ggpairs: adjusting axis labels to show minimum and maximum only

十年热恋 提交于 2019-12-06 05:48:55
I want to show just the minimum and maximum values for all the axes of a ggpairs {GGally} plot. Find below a reproducible example df=as.data.frame(matrix(1:1000,nrow = 100)) ggpairs(df) I know I can do it individually by using breaks , but I don't know how can I apply this in ggpairs . Can somebody help me? 来源: https://stackoverflow.com/questions/45764317/ggpairs-adjusting-axis-labels-to-show-minimum-and-maximum-only

Matlab Fonts Not Rendering Correctly on Print or Export

瘦欲@ 提交于 2019-12-06 03:54:25
问题 I'm trying to make a matlab figure that nicely fits into a LaTeX Document. A known problem is that the XTickLabel and YTickLabels do not render using the LaTeX interpreter, causing bad looking plots. (Note: I realize there are some fixes out there that involve replacing the tex labels with text objects (i.e. format_tics), however these solutions are non-trivial when plotting multiple figures, and come with problems of their own that require a lot of tweaking for each individual figure.) I

setting the axis min and max values to stick

我是研究僧i 提交于 2019-12-06 03:10:56
I have a (3,4) subplot each showing scatterplots. The ranges of the scatterplots vary so some of my plots have axes x(0-30) and y(0-8), but some have x(18-22) and y(4-7). I have set my xlim to [0 30], and ylim to [0 8] but that sets my axes to never go lower than 0, higher than 30 etc. How do I set my axis to "stick" at (0,0) for the origin of each plot, and "stick" at 8 for Y and 30 for X. TIA for any help update per comment on answer: Still having the same issue with below code %% plot for i = 1:num_bins; h = zeros(ceil(num_bins),1); h(i)=subplot(4,3,i); plotmatrix(current_rpm,current_torque

Matplotlib pyplot axes formatter

女生的网名这么多〃 提交于 2019-12-05 21:01:07
问题 I have an image: Here in the y-axis I would like to get 5x10^-5 4x10^-5 and so on instead of 0.00005 0.00004 . What I have tried so far is: fig = plt.figure() ax = fig.add_subplot(111) y_formatter = matplotlib.ticker.ScalarFormatter(useOffset=True) ax.yaxis.set_major_formatter(y_formatter) ax.plot(m_plot,densities1,'-ro',label='0.0<z<0.5') ax.plot(m_plot,densities2, '-bo',label='0.5<z<1.0') ax.legend(loc='best',scatterpoints=1) plt.legend() plt.show() This does not seem to work. The document

Matplotlib入门简介

心不动则不痛 提交于 2019-12-05 19:38:13
Matplotlib是一个用Python实现的绘图库。现在很多机器学习,深度学习教学资料中都用它来绘制函数图形。在学习算法过程中,Matplotlib是一个非常趁手的工具。 一般概念 图形(figure) 类似于画布,它包含一个或多个子坐标系(axes)。至少有一个坐标系才能有用。 下面是一段简单的示例代码,只是创建了一个子坐标系 import matplotlib.pyplot as plt import numpy as np fig = plt.figure() #空figure,没有坐标系. fig.suptitle("No Axes on this figure") #设置顶部标题 fig, ax_lst = plt.subplots(2, 2) #一个2 x 2 网格的的坐标系 坐标系(Axes) : figure的绘图区域。一个figure只能有可以有多个Axes,但一个Axes只能位于一个figure中。一个Axes包含两个(在3D情况下有3个)坐标轴(Axis),Axis的主要作用是限制数据的范围(可使用Axes的set_xlim()和set_ylim()方法设限制)。每个坐标系有一个标题(title),使用set_title()设置,一个x轴标签(x-label,使用set_xlabel()设置),一个y轴标签(y-label,使用set_ylabel()设置)

Justify individual axis labels in bold using ggplot2

◇◆丶佛笑我妖孽 提交于 2019-12-05 06:30:07
Question adapted from this question and solution: Highlighting individual axis labels in bold using ggplot2 I would like to selectively justify the horizontal axes labels depending on meeting a criteria. So borrowing from the above question and answer I've set up an example: require(ggplot2) require(dplyr) set.seed(36) xx<-data.frame(YEAR=rep(c("X", "Y"), each=20), CLONE=rep(c("A", "B", "C", "D", "E"), each=4, 2), TREAT=rep(c("T1", "T2", "T3", "C"), 10), VALUE=sample(c(1:10), 40, replace=T)) # Simple plot with factors on y axis ggplot(xx, aes(x = VALUE, y=CLONE, fill=YEAR)) + geom_bar(stat=

How do I ensure that my matplotlib axes are of a custom class?

非 Y 不嫁゛ 提交于 2019-12-05 01:36:30
问题 I have a custom figure class and would like to ensure that all of the axes associated with it, whether created with subplots() or twinx() , etc. have custom behaviors. Right now I accomplish this by binding new methods to each axis after it has been created, e.g. by using import types def my_ax_method(ax, test): print('{0} is doing something new as a {1}.'.format(ax, test)) class MyFigure(matplotlib.figure.Figure): def __init__(self, **kwargs): super(MyFigure, self).__init__(**kwargs) axes_a