Question

我的数据集有一些我想汇总的有趣列，因此创建了一个可用于进行更多分析的指标。

我编写的算法大约需要3秒钟才能完成，所以我想知道是否有更有效的方法来实现这一目标。

docker run --mount source=config,target=/configurations $image

以下是dictionary_of_parameters的截短版本：

def financial_score_calculation(df, dictionary_of_parameters):
    for parameter in dictionary_of_parameters:
        for i in dictionary_of_parameters[parameter]['target']:
            index = df.loc[df[parameter] == i].index
            for i in index:
                old_score = df.at[i, 'financialliteracyscore']
                new_score = old_score + dictionary_of_parameters[parameter]['score']
                df.at[i, 'financialliteracyscore'] = new_score
    for i in df.index:
        old_score = df.at[i, 'financialliteracyscore']
        new_score = (old_score/27.0)*100 #converting score to percent value
        df.at[i, 'financialliteracyscore'] = new_score

    return df

编辑：为df生成玩具数据

dictionary_of_parameters = {
    # money management parameters
    "SatisfactionLevelCurrentFinances": {'target': [8, 9, 10], 'score': 1},
    "WillingnessFinancialRisk": {'target': [8, 9, 10], 'score': 1},
    "ConfidenceLevelToEarn2000WithinMonth": {'target': [1], 'score': 1},
    "DegreeOfWorryAboutRetirement": {'target': [1], 'score': 1},
    "GoodWithYourMoney?": {'target': [7], 'score': 1}
    }

Answer 1

请注意，在熊猫中，您可以使用at进行元素索引以外的其他方式。在下面的四行代码中，index是一个列表，可用于与loc进行索引。

for parameter in dictionary_of_parameters:
    index = df[df[parameter].isin(dictionary_of_parameters[parameter]['target'])].index
    df.loc[index,'financialliteracyscore'] += dictionary_of_parameters[parameter]['score']
df['financialliteracyscore'] = df['financialliteracyscore'] /27.0*100

这里是参考，尽管我个人在编程的早期从未觉得它有用... https://pandas.pydata.org/pandas-docs/stable/indexing.html

通过汇总数据集的特定列来生成新的数据列

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