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When I read in a CSV, I can say pd.read_csv('my.csv', index_col=3) and it sets the third column as index.
How can I do the same if I have a pandas dataframe in memory? And how can I say to use the first row also as an index? The first column and row are strings, rest of the matrix is integer.
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To create an index, from a column, in Pandas dataframe you use the set_index() method. For example, if you want the column “Year” to be index you type <code>df. set_index(“Year”)</code>. Now, the set_index() method will return the modified dataframe as a result.
Use DataFrame.iloc[0] to set the column labels by extracting the first row. In pandas, the index starts from 0 hence 0 means first row.
Pandas DataFrame: set_index() function The set_index() function is used to set the DataFrame index using existing columns. Set the DataFrame index (row labels) using one or more existing columns or arrays of the correct length. The index can replace the existing index or expand on it.
You can try this regardless of the number of rows
df = pd.read_csv('data.csv', index_col=0) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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