Microinvest Warehouse Pro Keygen |LINK| Generators
Microinvest Warehouse Pro Keygen Generators
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Microinvest warehouse pro keygen generator keygen type wpiQ: Faster way to concatenate fields in pandas dataframe? I have a Dataframe as below: >>> df = pd.DataFrame(columns=[‘name’,’age’,’country’,’year’]) >>> df.head(5) name age country year 0 juli 13 usa 1990 1 agnes 12 gbr 1984 2 karen 14 aust 1990 3 jerome 15 uae 1990 4 kousaku 16 japan 1990 I am trying to concatenate all the fields into one field. I am doing as: >>> df[“Age”] = df[“Age”] +” + df[“Year”] >>> df name age country year Age 0 juli 13 usa 1990 1990 1 agnes 12 gbr 1984 1990 2 karen 14 aust 1990 1990 3 jerome 15 uae 1990 1990 4 kousaku 16 japan 1990 1990 I understand that i can do this directly as >>> df[‘Age’] = df[‘Age’].apply(lambda x: x+’ ‘+df[‘Year’]) But i am just curious to know is there any in-built way of doing this? Edit: I am not sure if this is relevant to my question. In my particular case i have: >>> df[“Age”] = df[“Age”].map(lambda x: df[‘Year’].map(lambda y: y+’ ‘+x)) Any ideas why 7abca1508a
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