Aug 5, 2021 · If the Series is a python or numpy dtype, it's usually fastest to iterate the underlying numpy ndarray: for el in s.to_numpy(): # if dtype is datetime, int, float, str, string

Feb 17, 2024 · Use a for loop in combination with iteritems() to iterate through the Series. Example: import pandas as pd s = pd.Series(['a', 'b', 'c'], index=[1, 2, 3]) for index, value in s.iteritems(): print(f'Index {index}: Value {value}')

Jul 15, 2016 · s = pd.Series([1,2,3,4], index=['a', 'b', 'c', 'd']) A direct loop over s yields the value of each row. A loop over s.iteritems() or s.items() yields a tuple with the (index,value) pairs of each row.

Feb 7, 2022 · I'm trying to implement code that includes a for loop on a list of pandas Series: a = pd.Series(dtype= 'float64') b = pd.Series(dtype= 'float64') c = pd.Series(dtype= 'float64') data = [a,b,c] for...

Feb 12, 2019 · Pandas Series.iteritems() function iterates over the given series object. the function iterates over the tuples containing the index labels and corresponding value in the series. Syntax: Series.iteritems()

pandas.Series.items# Series. items [source] # Lazily iterate over (index, value) tuples. This method returns an iterable tuple (index, value). This is convenient if you want to create a lazy iterator. Returns: iterable. Iterable of tuples containing the (index, value) pairs from a Series.

Mar 27, 2024 · One of the simple ways to access elements of the pandas Series is by using Python for loop. Here I will iterate the Series and get the values one by one and print it on the console. For examples. # Use iterate over index series for indx in …

Feb 19, 2024 · This article demonstrates five methods to iterate over a Pandas Series with a clear example of input and desired output at each stage. Iterating over a Pandas Series using the basic for loop is straightforward. This method directly accesses each element in the Series.

Apr 9, 2024 · By using a for loop with a print statement, we are able to iterate over each value in the series and print it. The following code shows how to iterate over each value in a pandas Series, multiply each value by 2, and then print the result: print(i*2) . 12.

Python For Loops. A for loop is used for iterating over a sequence (that is either a list, a tuple, a dictionary, a set, or a string). This is less like the for keyword in other programming languages, and works more like an iterator method as found in …