Remove highly correlated variables
来源： https://stackoverflow.com/questions/18275639/remove-highly-correlated-variables
subset
subset sum find all subsets that add up to a number
来源： https://stackoverflow.com/questions/34274701/subset-sum-find-all-subsets-that-add-up-to-a-number
subset sum find all subsets that add up to a number
来源： https://stackoverflow.com/questions/34274701/subset-sum-find-all-subsets-that-add-up-to-a-number
subset sum find all subsets that add up to a number
来源： https://stackoverflow.com/questions/34274701/subset-sum-find-all-subsets-that-add-up-to-a-number
how to remove multiple columns in r dataframe?
来源： https://stackoverflow.com/questions/34617883/how-to-remove-multiple-columns-in-r-dataframe
How to remove a subset of a data frame in Python?
问题 My dataframe df is 3020x4. I'd like to remove a subset df1 20x4 out of the original. In other words, I just want to get the difference whose shape is 3000x4. I tried the below but it did not work. It returned exactly df. Would you please help? Thanks. new_df = df.drop(df1) 回答1: As you seem to be unable to post a representative example I will demonstrate one approach using merge with param indicator=True : So generate some data: In [116]: df = pd.DataFrame(np.random.randn(5,3), columns=list(
How to remove a subset of a data frame in Python?
问题 My dataframe df is 3020x4. I'd like to remove a subset df1 20x4 out of the original. In other words, I just want to get the difference whose shape is 3000x4. I tried the below but it did not work. It returned exactly df. Would you please help? Thanks. new_df = df.drop(df1) 回答1: As you seem to be unable to post a representative example I will demonstrate one approach using merge with param indicator=True : So generate some data: In [116]: df = pd.DataFrame(np.random.randn(5,3), columns=list(
格式化2
import seaborn import pandas excel =pandas.read_excel(r ' E:\pandas练习\成绩单.xlsx ' ) color_map =seaborn.light_palette( ' green ' ,as_cmap= True) a=excel.style.background_gradient(color_map,subset =[ ' test_1 ' , ' test_2 ' , ' test_3 ' ]) a.to_excel() 来源： oschina 链接： https://my.oschina.net/u/4356468/blog/4357977
ansible基础—安装与常用模块
ansible介绍： ansible是一个基于python开发的轻量级自动化运维管理工具，可以用来批量执行命令，安装程序，支持playbook编排。它通过ssh协议来连接主机，省去了在每一台主机安装客户端的麻烦，相对比puppet和saltstack，显得更为简单和轻量。 ansible命令参数： Usage: ansible <host-pattern> [options] Options: -a MODULE_ARGS, --args=MODULE_ARGS 模块的参数 module arguments --ask-vault-pass ask for vault password -B SECONDS, --background=SECONDS 异步运行，在X秒后失效 run asynchronously, failing after X seconds (default=N/A) -C, --check don't make any changes; instead, try to predict some 测试运行后改变的内容，不会执行 of the changes that may occur -D, --diff when changing (small) files and templates, show the 在更改文件时，可以显示文件的不同
JavaScript数据结构-集合
介绍 集合是由一组无序且唯一(即不能重复)的项组成的。比如由一个大于等于0的整数组成的集合：N={0,1,2,3,4,5,6,...}。 还有一个概念叫空集。用'{}'表示。 创建集合 我们使用对象来表示集合。 1 function Set() { 2 let items = {}; 3 } 常见方法 add(value)：向集合添加一个新的项。 delete (value)：从集合移除一个值。 has(value)：如果值在集合中，返回true，否则返回false。 clear()：移除集合中的所有项。 size()：返回集合所包含元素的数量。与数组的length属性类似。 values()：返回一个包含集合中所有值的数组。 has方法 1 this .has = function (value){ 2 return value in items; 3 }; 4 5 ----------------或者----------------- 6 7 this .has = function (value){ 8 return items.hasOwnProperty(value); 9 }; add方法 1 this .add = function (value) { 2 if (! this .has(value)) { 3 items[value] = value; 4