Accessing Specific Columns
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How to get a certain column in a DataFrame? Put column name (as string, in quotes) between square brackets and place it right to variable with dataframe. Another way is to refer to column like to attribute - put column name (without quotes) right to dot symbol placed right to variable with dataframe (it works only for column that has only one word in name).
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 'year' column print(df['year']) # Get 'model' column print(df.model)
If you want to get several columns at once, you need to pass list of columns you want to get. The second approach described above doesn't work here.
1234567# 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 columns 'model' and 'year' print(df[['model', 'year']])
Pay attention to square brackets. Syntax
df(['model', 'year'])will not work!
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セクション 3. 章 1
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セクション 3. 章 1