这是您问题的答案。这可能不是你所期望的,因为我没有使用pd.to_Stata,而是在 Stata 16 上开发的 Python 集成。
下面的代码必须在 Stata 中执行(从版本 16 开始)。简而言之,我正在生成一个 Pandas Data.Frame ( df),并将其导出到 Stata。诀窍是使用ValueLabel.setLabelValue()来自sfi库的功能将标签应用到值上。
clear all
python:
from sfi import ValueLabel, Data
import pandas as pd
data = [['Eren Jaeger', 15, 1, 'Soldier' ] , ['Mikasa Ackerman', 14, 1, 'Soldier'], ['Armin Arlert', 14, 1 , 'Soldier'],['Levi Ackerman', 30, 2, 'Captain']]
#creating DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Rank_num', 'Rank'])
## Name Age Rank_num Rank
##0 Eren Jaeger 15 1 Soldier
##1 Mikasa Ackerman 14 1 Soldier
##2 Armin Arlert 14 1 Soldier
##3 Levi Ackerman 30 2 Captain
# Set number of observations in Stata
Data.setObsTotal(len(df))
#Create variables on Stata (from Python)
Data.addVarStr("Name",10)
Data.addVarDouble("Age")
Data.addVarInt("Rank_num")
#Store the content of "df" object from Python to Stata
Data.store("Name", None, df['Name'], None)
Data.store("Age", None, df['Age'], None)
Data.store("Rank_num", None, df['Rank_num'], None)
# HERE is where I solve your question!
# 1) Create the labels
ValueLabel.setLabelValue('rank_num_LABEL', 1, 'Soldier')
ValueLabel.setLabelValue('rank_num_LABEL', 2, 'Captain')
ValueLabel.getValueLabels('rank_num_LABEL')
# 2) Attach the labels to the created variable
#Attach the created label
ValueLabel.setVarValueLabel('Rank_num', 'rank_num_LABEL')
end
br
* At the end, you will see the following on the Stata browser
* Name Age Rank_num
* Eren Jaeger 15 Soldier
* Mikasa Ackerman 14 Soldier
* Armin Arlert 14 Soldier
* Levi Ackerman 30 Captain
Run Code Online (Sandbox Code Playgroud)
如果您想更好地理解上述代码背后的推理,这里是我用来学习它的参考资料。