axis

Whenever I plot, the X axis sorts automatically (for example, if i enter values 3, 2, 4, it will automatically sort the X axis from smaller to larger. How can I do it so the axis remains with the order I input the values i.e 3, 2, 4 import pylab as pl data = genfromtxt('myfile.dat') pl.axis('auto') pl.plot(data[:,1], data[:,0]) I found one function, set_autoscalex_on(FALSE) but I'm not sure how to use it or whether it is what I want. Thanks You could provide a dummy x-range, and then override the xtick labels. I do agree with the comments above questioning wether its the best solution, but

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? 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([]) Icoding Though this question was posted a long time ago, I did not find a good solution for this. I tried it myself then found this code below might

I'm trying to draw labels which look informative, clear and tidy. I was following example and raised one more question about label and axis formatting. For example, I have sales data which includes Brand, Categories and Expenditure in EUR. When sum of EUR is big (millions or more) labels look really hard to read and not informative. As a result, x-axis is in Scientific notation and also looks really uncleanly. I've manage to format labels in custom way: it shows Eur in thousands. geom_text(aes(label= paste(round(EUR/1000,0),"€"), y=pos), colour="white") Is there an easier or automated way? As

We've got an incredibly frustrating situation with a CF Web Services-based API that we wrote and maintain. We had an API in place for years that was stable and working happily with Ruby, PHP, and ColdFusion clients. Then this year a .NET client came along, and we found that our web service was not interoperable with statically-typed languages due to our extensive use of structs. We eventually realized we had to re-write the API without structs, and we've done so. It now uses scaler values, arrays, and CFCs (which get translated to SOAP complexTypes). The .NET client is happy, and we wrote

I'm using d3.axis() to create axis labels and tick marks that I'd like to refer to individually using d3.select("#axisTextIDValue") but I see no way to manipulate the id attribute of individual text elements in an axis. Does anyone know how to create ID values for the ticks or text elements of an axis? While the other answer does explain how to select the ticks, if you want to assign unique ids to generated elements like these, you can do so using subselections by giving an id or class to the g that you've called for your axis and then setting ids for the child text elements based on their

一、jupyter的常用快捷键 　　- 插入cell: a, b a是after从后插入 a是before 从前插入 　　- 删除cell: dd, x 都可以 　　- 修改cell的模式：m, y 　　- tab: 自动补全 　　- 执行cell: shift + enter 　　- 打开帮助文档：shift + tab 二、 numpy 　　1. 创建数组 　　import numpy as np 　　np.array() 　　一维数组创建：np.array([1,2,3]) 　　2. 使用matplotlib获取一个numpy的数组，数组来源于一张图片 import matplotlib.pyplot as plt img_arr = plt.imread('./cat.jpg')展示一个数组：plt,imshow(img_arr) 　　3. 使用np的routines函数创建 　　np.linspace(0,100,num=50) 返回一个一维的等差数列 　　np.random.randint(low,high=None,size=None,dtype="1") 返回一个随机数组 　　 　　4. array的属性 　　img_arr.shape 返回形状 　　img_arr.ndim 返回纬度 　　img_arr.dtype 返回元素的类型 　　img_arr.size　

data.dropna(how = 'all') # 传入这个参数后将只丢弃全为缺失值的那些行 data.dropna(axis = 1) # 丢弃有缺失值的列（一般不会这么做，这样会删掉一个特征） data.dropna(axis=1,how="all") # 丢弃全为缺失值的那些列 data.dropna(axis=0,subset = ["Age", "Sex"]) # 丢弃‘Age’和‘Sex’这两列中有缺失值的行 原文链接：https://blog.csdn.net/weixin_40283816/article/details/84304055 来源： https://www.cnblogs.com/sunflowers-lanqijiu/p/11806478.html

处理缺失数据： 方法 说明 dropna 根据各标签的值中 是否存在缺失数据对轴标签进行过滤，可通过阈值调节对缺失值的容忍程度 fillna 用指定值或插值方法（如ffill 或 bfill ） 填充缺失数据 isnull 返回一个含有布尔值的对象，这些布尔值表示哪些值是缺失值 NA ，该对象的类型与源类型一样 过滤缺失数据 可以通过pandas.isnull或布尔索引的手工方法，但dropna可能会更实用一些。对于 series，dropna返回一个仅含非空数据和索引的series： dropna默认丢弃任何含有缺失值的行填充缺失数据 参数 说明 value 用于填充缺失值的标量值或字典对象 method 插值方式。如果函数调用时未指定其他参数的话，默认为‘ffill’ 参数 说明 axis 待填充的轴，默认axis=0 inplace 修改调用者对象而不产生副本 limit （对于前向和后向填充）可以连续填充的最大数量 原文链接：https://www.cnblogs.com/leims/p/9921382.html 方法 说明 dropna 根据各标签的值中 是否存在缺失数据对轴标签进行过滤，可通过阈值调节对缺失值的容忍程度 fillna 用指定值或插值方法（如ffill 或 bfill ） 填充缺失数据 isnull 返回一个含有布尔值的对象，这些布尔值表示哪些值是缺失值

、使用axis1.4调用webservice方法 　　前提条件：下载axis1.4包和tomcat服务器 ，并将axis文件夹复制到tomcat服务器的webapp文件夹中 　　这里我就说一下最简单的方法： 　　首先建立一个任意的java类（例如：HelloWorld.java），复制到axis文件夹下,将其扩展名改为jws，然后重新启动tomcat，在浏览器中输入 http://localhost:8989/axis/HelloWorld.jws?wsdl ，就会得到一个wsdl文件，其客户端调用方法如下： 　　Java代码 　　import javax.xml.rpc.Service; 　　import javax.xml.rpc.ServiceException; 　　import javax.xml.rpc.ServiceFactory; 　　import java.net.MalformedURLException; 　　import java.net.URL; 　　import java.rmi.RemoteException; 　　import javax.xml.namespace.QName; 　　public class TestHelloWorld { 　　public static void main(String[] args) throws