你能告诉我 Python 中的 rep() 函数吗？

问题描述

像下面的 R 代码一样，如何在 Python 中简单地生成相同的数据表？

Genotype <- c(rep(c("CV1","CV2","CV3"),each=9))

Treatment <- c(rep(c("TR1","TR2","TR3"),each=3),rep(c("TR1",each=3))
           
Block <- c(rep(c("B1","B2","B3"),times=9))

yield <- c(rep("15",5),rep("18",rep("20",8),rep("14",7),rep ("21",2))

dataA<- data.frame (Genotype,Treatment,Block,yield)
dataA

这是我生成的 Python 代码，但我相信更简单的方法。你能告诉我如何使用 R 中的 rep() 编写一个简单的代码吗？

import pandas
from pandas import DataFrame
        
source={'Genotype':["CV1","CV1","CV3","CV3"],'Treatment':["TR1","TR1","TR3","TR3"],'Block':["B1","B3","B1","B3"],'Yield':[15,15,18,20,14,21,21]}
        
DataA=DataFrame(source) 
    
DataA

永远感谢！！

解决方法

df = pd.DataFrame(
    {
        "Genotype": ["CV1"] * 9 + ["CV2"] * 9 + ["CV3"] * 9,"Treatment": (["TR1"] * 3 + ["TR2"] * 3 + ["TR3"] * 3) * 3,"Block": ["B1","B2","B3"] * 9,"yield": [15] * 5 + [18] * 5 + [20] * 8 + [14] * 7 + [21] * 2,}
)
print(df)

打印：

   Genotype Treatment Block  yield
0       CV1       TR1    B1     15
1       CV1       TR1    B2     15
2       CV1       TR1    B3     15
3       CV1       TR2    B1     15
4       CV1       TR2    B2     15
5       CV1       TR2    B3     18
6       CV1       TR3    B1     18
7       CV1       TR3    B2     18
8       CV1       TR3    B3     18
9       CV2       TR1    B1     18
10      CV2       TR1    B2     20
11      CV2       TR1    B3     20
12      CV2       TR2    B1     20
13      CV2       TR2    B2     20
14      CV2       TR2    B3     20
15      CV2       TR3    B1     20
16      CV2       TR3    B2     20
17      CV2       TR3    B3     20
18      CV3       TR1    B1     14
19      CV3       TR1    B2     14
20      CV3       TR1    B3     14
21      CV3       TR2    B1     14
22      CV3       TR2    B2     14
23      CV3       TR2    B3     14
24      CV3       TR3    B1     14
25      CV3       TR3    B2     21
26      CV3       TR3    B3     21

,

感谢大家的回答。我解决了并分享了代码。我刚开始学习 Python，我的编码非常基础。

import pandas as pd
from pandas import DataFrame

source = {"Genotype": ["CV1"]*9 + ["CV2"]*9 + ["CV3"]*9,"Treatment": (["TR1"]*3 + ["TR2"]*3 + ["TR3"]*3)*3,"B3"]*9,"yield": [15]* 5 + [18]* 5 + [20]* 8 + [14]* 7 + [21]* 2}

DataA=DataFrame(source)
DataA