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Fix docstring formatting
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@ -1452,10 +1452,10 @@ class DataFrame(NDFrame):
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Yields
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Yields
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------
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------
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index: index
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index: index
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The index of the row.
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The index of the row.
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data: pandas Series
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data: pandas Series
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The data of the row as a pandas Series.
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The data of the row as a pandas Series.
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See Also
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See Also
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--------
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--------
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@ -1501,19 +1501,19 @@ class DataFrame(NDFrame):
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"""
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"""
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Iterate over eland.DataFrame rows as namedtuples.
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Iterate over eland.DataFrame rows as namedtuples.
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Args
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Parameters
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----
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----------
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index: bool, default True
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index: bool, default True
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If True, return the index as the first element of the tuple.
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If True, return the index as the first element of the tuple.
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name: str or None, default "Eland"
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name: str or None, default "Eland"
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The name of the returned namedtuples or None to return regular tuples.
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The name of the returned namedtuples or None to return regular tuples.
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Returns
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Returns
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-------
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-------
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iterator
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iterator
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An object to iterate over namedtuples for each row in the
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An object to iterate over namedtuples for each row in the
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DataFrame with the first field possibly being the index and
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DataFrame with the first field possibly being the index and
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following fields being the column values.
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following fields being the column values.
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See Also
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See Also
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--------
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--------
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@ -1541,6 +1541,7 @@ class DataFrame(NDFrame):
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Eland(Index='4', AvgTicketPrice=730.041778346198, Cancelled=False)
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Eland(Index='4', AvgTicketPrice=730.041778346198, Cancelled=False)
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By setting the `index` parameter to False we can remove the index as the first element of the tuple:
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By setting the `index` parameter to False we can remove the index as the first element of the tuple:
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>>> for row in df.itertuples(index=False):
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>>> for row in df.itertuples(index=False):
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... print(row)
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... print(row)
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Eland(AvgTicketPrice=841.2656419677076, Cancelled=False)
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Eland(AvgTicketPrice=841.2656419677076, Cancelled=False)
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@ -1550,6 +1551,7 @@ class DataFrame(NDFrame):
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Eland(AvgTicketPrice=730.041778346198, Cancelled=False)
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Eland(AvgTicketPrice=730.041778346198, Cancelled=False)
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With the `name` parameter set we set a custom name for the yielded namedtuples:
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With the `name` parameter set we set a custom name for the yielded namedtuples:
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>>> for row in df.itertuples(name='Flight'):
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>>> for row in df.itertuples(name='Flight'):
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... print(row)
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... print(row)
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Flight(Index='0', AvgTicketPrice=841.2656419677076, Cancelled=False)
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Flight(Index='0', AvgTicketPrice=841.2656419677076, Cancelled=False)
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