select specific rows from dataframe in python
select_color = df.loc[df['Color'] == 'Green']select specific rows from dataframe in python
select_color = df.loc[df['Color'] == 'Green']isolate row based on index pandas
dfObj.iloc[: , [0, 2]]pandas return specific row
df.iloc[1] # replace index integer with specific row numberpandas return row
1. Selecting data by row numbers (.iloc)
# myrow = data.iloc[<row selection>]
myrow = data.iloc[7]
myrow = data.iloc[0:9]
2. Selecting data by label or by a conditional statement (.loc)
# myrow = data.loc[<row selection.]
myrow = data.loc['University ABC']
3. Selecting in a hybrid approach (.ix) (now Deprecated in Pandas 0.20.1)
# Works like a .loc but also accepts integers - may lead to unexpected resultsCopyright © 2021 Codeinu
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