Question

what is the basic difference between iterrows and iteritems?​

Answer 1

Explanation:

iteritems(): Helps to iterate over each element of the set, column-wise. iterrows(): Each element of the set, row-wise.

Answer 2

Answer:

Iterate over each element of the set, column-wise, with the aid of iteritems(). iterrows(): Row-by-row iteration of each set element.

Explanation:

iterrors():

DataFrame from Pandas. A pandas Data frame's rows in the form of a (index, series) pair are iterated over using the iterrows() function.

This function loops through each column in the data frame and returns a tuple with the column name and content as a series.

DataFrame syntax.

iterrows() Yields: index: The row's index. A tuple for MultiIndex data that contains the series of data for the row it returns: a generator that cycles through the frame's rows.

iteritems():

A one-dimensional ndarray with axis labels is the Pandas series. The labels must be a hashable type, but they do not need to be unique.

The object has a wide range of methods for executing operations requiring the index and supports both integer- and label-based indexing. The Pandas Series.

The iteritems() function loops through the provided object of a series. The function loops through the tuples that contain the series' index labels and related values.

Syntax: Series.iteritems()

Indicator: None

Returns: tuples