如何合并 pandas dataframe 的行

Question

我想将 pandas 数据帧记录合并到一个记录中。

给定一个 dataframe 像这样：

patient_id  gender  age admission_id    admission_type  insurance_type  language    religion    marital_status  ethnicity   diagnosis   icustay_id  length_of_stay  BUN Creatinine  Hematocrit  Non Invasive Blood Pressure diastolic   Non Invasive Blood Pressure systolic
0   2365    F   51  117027  1   2   ENGL    CATHOLIC    SINGLE  WHITE   GASTROINTESTINAL BLEED  250042  22.9776 NaN 2.1 NaN NaN NaN
1   2365    F   51  117027  1   2   ENGL    CATHOLIC    SINGLE  WHITE   GASTROINTESTINAL BLEED  250042  22.9776 44.0    NaN NaN NaN NaN

预期 output ：

patient_id  gender  age admission_id    admission_type  insurance_type  language    religion    marital_status  ethnicity   diagnosis   icustay_id  length_of_stay  BUN Creatinine  Hematocrit  Non Invasive Blood Pressure diastolic   Non Invasive Blood Pressure systolic
0   2365    F   51  117027  1   2   ENGL    CATHOLIC    SINGLE  WHITE   GASTROINTESTINAL BLEED  250042  22.9776 44 2.1 NaN NaN NaN

Answer 1

你可以first groupby ，注意这里我假设patient_id是groupby键

out = df.groupby('patient_id').first()