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[英]Pandas compare two columns of different dataframes and copy value of a third column if there is a match
[英]Pandas compare two columns from two dataframes if there is a match get value from third column convert to week number
試圖使一份報告自動化,但它超出了我目前的技能水平,請盡可能提供幫助。 df1
report = {'Name':["one", "two", "three", "four", "five"],'Week_Num':['','','','',''],"Week_1":['1','1','','',''],"Week_2":['','1','','1',''],"Week_3":['','','','','1'],"Week_4":['','','1','',''],"Week_5":['','','','','']}
DF2
data = {'Name': ["one", "two", "four", "five", "two", "three"],
"Dates":["03/01/2022", "09/01/2022", "13/01/2022", "21/01/2022", "01/01/2022","28/01/2022"]}
現在我必須將 report['Name'] 與數據 ['Name'] 匹配,如果匹配得到 data["Dates"] 將 data["Dates"] 轉換為 week_number"Today is week 18", and increase每場比賽的 report.at[match, week_number] += 1 的值。 預計 output:
report = {'Name':["one", "two", "three", "four", "five"],'Week_Num':['','','','',''],"Week_1":['1','1','','',''],"Week_2":['','1','','1',''],"Week_3":['','','','','1'],"Week_4":['','','1','',''],"Week_5":['','','','','']}
嘗試merge
:
data["Week_Num"] = pd.to_datetime(data["Dates"],format="%d/%m/%Y").dt.strftime("%W").astype(int).add(1)
counts = data[["Name","Week_Num"]].merge(report["Name"], how="right").set_index("Name")
output = pd.get_dummies(counts["Week_Num"]).reindex(range(1,6),axis=1,fill_value=0).groupby(level=0).sum().reindex(report["Name"]).reset_index()
>>> output
Name 1 2 3 4 5
0 one 0 1 0 0 0
1 two 1 1 0 0 0
2 three 0 0 0 0 1
3 four 0 0 1 0 0
4 five 0 0 0 1 0
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