pandas 技巧

时间：2019-11-01 11:36:35 收藏：0 阅读：82

find index of top 3 largest values of each column:

df1.apply(lambda s: pd.Series(s.nlargest(3).index))

map dataframe column

df["ItemIdx"] = df["question"].map(lambda x: itemMap.get(x,np.NaN))

load a dictionay from a save pkl file

with open ("l.pkl","rb") as f:
    itemMap= pickle.lead(f)

find the startpoint of each session (after sorted):

offset = np.zeros(df["sessinId"].nunique()+1,dtype=np.int32)
offset[1:] = df.groupby(‘sessinId‘).size().cumsum()

原文：https://www.cnblogs.com/pocahontas/p/11775756.html