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oldoc63 merged 1 commit into from
Oct 19, 2021
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We can specify an index_col #177 #178

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16 changes: 16 additions & 0 deletions pandas/script.py
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Expand Up @@ -14,4 +14,20 @@

pd.Series([30, 35, 40], index=['2015 Sales', '2016 Sales', '2017 Sales'], name='Product A')

#We'll use the pd.read_csv() function to read the data into a DataFrame.
wine_reviews = pd.read_csv("../input/wine-reviews/winemag-data-130k-v2.csv")

#We can use the shape attribute to check how large the resulting DataFrame is:
wine_reviews.shape

#Output
(129971, 14)

#We can examine the contents of the resultant DataFrame using the head() command, which grabs the first five rows:
wine_reviews.head()

#You can see in this dataset that the CSV file has a built-in index, which pandas did not pick up on automatically. To make pandas use that column for the index (instead of creating a new one from scratch), we can specify an index_col.
wine_reviews = pd.read_csv("../input/wine-reviews/winemag-data-130k-v2.csv", index_col=0)