gistfile1.txt

# pip3 install requests -t .
# pip install -r requirements.txt -t .


# requirements.txt
# numpy
# pandas
# openpyxl
# xlrd
# xlwt
# XlsxWriter


from numpy import newaxis
import pandas as pd
excel_file = 'book.xlsx'

# xlsx = pd.ExcelFile(excel_file)
# movies_sheets = []
# for sheet in xlsx.sheet_names:
#    movies_sheets.append(xlsx.parse(sheet))
# movies = pd.concat(movies_sheets)
jira_ref = pd.read_excel(excel_file, sheet_name=0)
jira = pd.read_excel(excel_file, sheet_name=1)

shape = jira_ref.head()
# print(shape)
shape = jira.head()
# print(shape)
print('\n\n')

# inner join of ref table
fltr_ref = jira_ref.loc[jira_ref['Key'].isin(jira["slater_key"])]
# print (fltr_ref)
data = []
for indx in range(jira.shape[0]):
    vl = fltr_ref["Key"] == jira.at[indx, "slater_key"]
    rw = fltr_ref[vl]
    jw = jira.iloc[indx]    
    if not rw.empty:
        jw.at["mission_theme_index"] = rw["Index"].item()
        jw.at["mission_theme_key"] = rw["Key"].item()
        idv = rw["Index"].item()
        sidv = idv.split('.')
        nwIdx = sidv[0] + "." + sidv[1]
        # print(nwIdx)
        new_fltr_ref = jira_ref.loc[jira_ref['Index'].isin([nwIdx])]
        print(new_fltr_ref)
        jw.at["mission_theme_key"] = new_fltr_ref["Key"].item()
        data.append(jw)

# print (data)
df = pd.DataFrame(data)
print(df.head())
df.to_excel("output.xlsx") 

first cfommt