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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Conversion to OxCal-compliant output
Archives des datations radiocarbone d'Afrique centrale
Dirk Seidensticker
see
Step1:  Conversion of the Data into OxCal-usable Form
Step2:  Choosing only the first five entries as subsample
Step3:  OxCal-compliant output
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Python Code:
%matplotlib inline
from IPython.display import display
import pandas as pd
Explanation: Conversion to OxCal-compliant output
Archives des datations radiocarbone d'Afrique centrale
Dirk Seidensticker
see: https://c14.arch.ox.ac.uk/embed.php?File=oxcal.html
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df = pd.read_csv("https://raw.githubusercontent.com/dirkseidensticker/aDRAC/master/data/aDRAC.csv", encoding='utf8')
display(df.head())
Explanation: Conversion of the Data into OxCal-usable Form
End of explanation
df_sub = df.head()
Explanation: Choosing only the first five entries as subsample:
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print('''Plot()
{''')
for index, row in df_sub.iterrows():
    print('R_Date("', row['SITE'],'/', row['FEATURE'], '-', row['LABNR'],'",', row['C14AGE'],',', row['C14STD'],');')
print('};')
Explanation: OxCal-compliant output:
End of explanation
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