ddf

MakeCAB.exe 是 Windows 2000 或更高版本中随附的工具。要使用 MakeCAB.exe 来创建 .cab 文件，请执行以下步骤： 为 makecab.exe 创建一个定向文件，然后以 .ddf 扩展名保存该文件。下面的示例定向文件（名为 sample.ddf）为一个简单的 Web 部件库项目创建了一个 .cab 文件： //Sample Source Code MakeCAB Directive file example .OPTION EXPLICIT //Generate errors .Set CabinetNameTemplate=SampleCab.cab .set DiskDirectoryTemplate=CDROM //All cabinets go in a single directory .Set CompressionType=MSZIP //All files are compressed in cabinet files .Set UniqueFiles="OFF" .Set Cabinet=on .Set DiskDirectory1=SAMPLECAB.CAB //文件列表 manifest.xml WebPart1.dwp WebPartLibrary1.dll 将您希望包含在 .cab 文件中的所有文件复制到创建 .ddf

MATLAB实例：散点密度图 作者：凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/ MATLAB绘制用颜色表示数据密度的散点图 数据来源： MATLAB中“fitgmdist”的用法及其GMM聚类算法 ，将数据保存为gauss.txt 1. demo.m % 用颜色表示数据密度的散点图 data_load=dlmread('E:\scanplot\gauss.txt'); X=data_load(:,1:2); scatplot(X(:,1),X(:,2),'circles', sqrt((range(X(:, 1))/30)^2 + (range(X(:,2))/30)^2), 100, 5, 1, 8); print(gcf,'-dpng','散点密度图.png'); 2. scatplot.m 来自： https://www.mathworks.com/matlabcentral/fileexchange/8577-scatplot function out = scatplot(x,y,method,radius,N,n,po,ms) % Scatter plot with color indicating data density % https://www.mathworks.com/matlabcentral

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: How do I force dplyr to show all columns and rows of a rather small data.frame. The ddf object below, for example: df = data.frame(a=rnorm(100), b=c(rep('x', 50), rep('y', 50)), c=sample(1:20, 100, replace=T), d=sample(letters,100, replace=T), e=sample(LETTERS,100,replace=T), f=sample("asdasdasdasdfasdfasdfasdfasdfasdfasdfasd asdfasdfsdfsd", 100, replace=T)) ddf= tbl_df(df) 回答1: if you want to still use dplyr and print your dataframe just run print.data.frame(ddf) ddf 回答2: Ah, I was getting angry with dplyr therefore I could not see. the

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: What would be the equivalent of sort_values in pandas for a dask DataFrame ? I am trying to scale some Pandas code which has memory issues to use a dask DataFrame instead. Would the equivalent be : ddf . set_index ([ col1 , col2 ], sorted = True ) ? 回答1: Sorting in parallel is hard. You have two options in Dask.dataframe set_index As now, you can call set_index with a single column index: In [ 1 ]: import pandas as pd In [ 2 ]: import dask . dataframe as dd In [ 3 ]: df = pd . DataFrame ({ 'x' : [ 3 , 2 , 1 ], 'y' : [ 'a' , 'b' ,

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am using following commands to produce a scatterplot with jitter: ddf = data.frame(NUMS = rnorm(500), GRP = sample(LETTERS[1:5],500,replace=T)) library(lattice) stripplot(NUMS~GRP,data=ddf, jitter.data=T) I want to add boxplots over these points (one for every group). I tried searching but I am not able to find code plotting all points (and not just outliers) and with jitter. How can I solve this. Thanks for your help. 回答1: Here's one way using base graphics. boxplot(NUMS ~ GRP, data = ddf, lwd = 2, ylab = 'NUMS') stripchart(NUMS ~ GRP,