Consider a dataset represented as a pandas DataFrame with columns 'id' and 'value'. The objective is to identify the first row for each distinct combination of 'id' and 'value'.
To obtain the first row of each group, utilize df.groupby('id').first(). This method retrieves the first non-null element for each 'id' group.
If you require the 'id' column in the resulting DataFrame, you can employ df.groupby('id').first().reset_index().
To acquire the first 'n' records within each group, utilize df.groupby('id').head(n).reset_index(drop=True).
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