如何用第一個 df 中的值替換 NaN 值: country sex year cancer0 Albania female 2000 321 Albania male 2000 582 Antigua female 2000 23 Antigua male 2000 54 Argen female 2000 5915 Argen male 2000 2061在第二個 df 中: country year sex cancer0 Albania 1985 female NaN1 Albania 1985 male NaN2 Albania 1986 female NaN3 Albania 1986 male NaN4 Albania 1987 female 25.05 Antigua 1992 male NaN6 Antigua 1985 female NaN 最終應如下所示:country year sex cancer 0 Albania 1985 female 32 1 Albania 1985 male 58 2 Albania 1986 female 32 3 Albania 1986 male 58 4 Albania 1987 female 25 5 Antigua 1992 male 5 6 Antigua 1985 female 2 重要的是 2 個條件國家和性別
基于pandas中的2個條件合并2個數據框
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2021-12-09 18:21:30