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如何将 survey pandas 数据框转换为可在 Python 中用于 BI 工具的不同格式?

如何将 survey pandas 数据框转换为可在 Python 中用于 BI 工具的不同格式?

斯蒂芬大帝 2023-03-30 09:34:59
我需要将调查结果转换为可在 BI 工具(如 Tableau)中使用的内容。调查采用以下数据框的格式df = pd.DataFrame({'Respondent': ['Sally', 'Tony', 'Fred'],               'What project did you work on with - Chris?': ['Project A','Project B', np.nan],                'What score would you give - Chris': [9,7,np.nan],                'Any other feedback for - Chris': ['Random Comment','Okay performance',np.nan],               'What project did you work on with - Matt?': [np.nan,'Project C', 'Project X'],                'What score would you give - Matt': [np.nan,9,8],                'Any other feedback for - Matt': [np.nan, 'Great to work with Matt', 'Work was just okay'],               'What project did you work on with - Luke?': ['Project B','Project D', 'Project Y'],                'What score would you give - Luke': [10,8,7],                'Any other feedback for - Luke': ['Work was excellent', 'Was a bit technical', 'Another Random Comment'],              })我需要将其转换为如下格式:df = pd.DataFrame({'Name': ['Chris','Chris','Matt','Matt','Luke','Luke','Luke'],               'Assessor': ['Sally','Tony','Tony','Fred','Sally','Tony','Fred'],                'Project Name': ['Project A', 'Project B', 'Project C', 'Project X', 'Project B', 'Project D', 'Project Y'],                'NPS Score': [9,7,9,8,10,8,7],               'Feedback': ['Random Comment','Okay performance','Great to work with Matt','Work was just okay','Work was excellent','Was a bit technical','Another Random Comment']              })如您所见,它需要能够从列中提取名称。实际数据实际上要大得多,所以我需要代码来处理任何大小,而不仅仅是这个例子。
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慕的地8271018

TA贡献1796条经验 获得超4个赞

new_data = pd.DataFrame(columns = ["Assessor", "Project Name","NPS Score","Feedback", "Name"])

i = 1

while i < (len(df.columns)):

    data = df.iloc[:,[0,i,i+1,i+2]]

    data["Name"] = str(data.columns[-1].split(" ")[-1])

    data.columns = ["Assessor", "Project Name","NPS Score","Feedback","Name"]

    new_data = new_data.append(data)

    i = i + 3

    

new_data = new_data.reset_index(drop = True)

new_data


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反对 回复 2023-03-30
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