Accessing using .loc[] [1/3]
.loc[] is pandas property that allows to access a group of rows and columns by label(s) or a boolean array.
First, you can get rows by their indexes. Pass index/range of indexes between square brackets.
Note that right boundary is inculded while slicing within
.loc[]
123456789# Importing library import pandas as pd # Reading csv file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv') # Get the first row (index - 0) print(df.loc[0]) # Get the 9th - 11th rows (indexes 8, 9, 10) print(df.loc[8:10])
To get all rows, pass the colon : between square brackets.
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Completion rate improved to 3.33Accessing using .loc[] [1/3]
Pyyhkäise näyttääksesi valikon
.loc[] is pandas property that allows to access a group of rows and columns by label(s) or a boolean array.
First, you can get rows by their indexes. Pass index/range of indexes between square brackets.
Note that right boundary is inculded while slicing within
.loc[]
123456789# Importing library import pandas as pd # Reading csv file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv') # Get the first row (index - 0) print(df.loc[0]) # Get the 9th - 11th rows (indexes 8, 9, 10) print(df.loc[8:10])
To get all rows, pass the colon : between square brackets.
Kiitos palautteestasi!
