Question

假设我有一个类似于以下内容的python脚本：

Model <-  glm(Vote ~ Year + I(Year^2) + Male + Foreign, family="binomial", data=D)
summary(Model)


# augmented data frame

model.df = augment(Model) %>% rename(log_odds = `.fitted`, 
                                       Sex = Male)

glimpse(model.df.1)
Observations: 46,398
Variables: 13
$ .rownames  <chr> "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21"...
$ Vote       <dbl> 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, ...
$ Year       <int> 2, 3, 4, 5, 2, 3, 2, 3, 4, 5, 6, 2, 2, 2, 3, 4, 2, 3, 4, 5, 6, 7, 8, 9, 2, 3, 4, 5, 2, 3, 2, 3, 4, 5, 2, 3, 4, 5, ...
$ I.Year.2.  <S3: AsIs>  4,  9, 16, 25,  4,  9,  4,  9, 16, 25, 36,  4,  4,  4,  9, 16,  4,  9, 16, 25, 36, 49, 64, 81,  4,  9, 16, 2...
$ Sex        <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ Foreign    <int> 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
$ log_odds   <dbl> -0.01910985, -0.68184753, -1.14317053, -1.40307885, 0.26930939, -0.39342829, -0.01910985, -0.68184753, -1.14317053...
$ .se.fit    <dbl> 0.01675017, 0.01466136, 0.01790972, 0.02058514, 0.01931826, 0.01777691, 0.01675017, 0.01466136, 0.01790972, 0.0205...
$ .resid     <dbl> -1.1693057, -0.9047053, -0.7439452, 1.8016037, -1.2937083, 1.3483961, -1.1693057, -0.9047053, -0.7439452, -0.66303...
$ .hat       <dbl> 7.013561e-05, 4.794678e-05, 5.879536e-05, 6.711744e-05, 9.162739e-05, 7.602458e-05, 7.013561e-05, 4.794678e-05, 5....
$ .sigma     <dbl> 1.124879, 1.124884, 1.124886, 1.124861, 1.124876, 1.124874, 1.124879, 1.124884, 1.124886, 1.124887, 1.124860, 1.12...
$ .cooksd    <dbl> 1.376354e-05, 4.849628e-06, 3.749311e-06, 5.461011e-05, 2.399355e-05, 2.253792e-05, 1.376354e-05, 4.849628e-06, 3....
$ .std.resid <dbl> -1.1693467, -0.9047270, -0.7439671, 1.8016642, -1.2937676, 1.3484474, -1.1693467, -0.9047270, -0.7439671, -0.66305...


#visualise

        ggplot(model.df.1, aes(Year, log_odds, colour = Sex)) + 
        geom_line() + 
        geom_smooth(se = TRUE) +
       facet_wrap( ~ Foreign)

我们如何从具有预定义名称和年龄的Windows cmd执行该操作？我试过以下：

name = input("what is your name?")
age = input("what is your age?")
print name, age

Answer 1

@ECHO OFF
SET /P name=Enter your name: 
SET /P age=Please enter your age: 
python t23.py name age 2>&1 | tee output_file.txt

我在此代码之前没有对它进行过测试，但我认为你会对我的代码有所了解......

在执行时使用带有predefiden stdinput的windows cmd运行脚本

1 个答案: