Learn how to implement For Loops in Python for iterating a sequence, or the rows and columns of a pandas dataframe.
Like other programming languages,
for loops in Python are a little different in the sense that they work more like an iterator and less like a
for keyword. In Python, there is not
C like syntax
for(i=0; i<n; i++) but you use
for in n.
They can be used to iterate over a sequence of a
Given a list of elements,
for loop can be used to iterate over each item in that list and execute it.
To iterate over a series of items For loops use the
range function. The
range function returns a new list with numbers of that specified range based on the length of the sequence.
While iterating over a sequence you can also use the index of elements in the sequence to iterate, but the key is first to calculate the length of the list and then iterate over the series within the range of this length.
for loops in Python are zero-indexed.
Let’s quickly jump onto the implementation part of it.
To start with, let’s print numbers ranging from 1-10. Since the
for loops in Python are zero-indexed you will need to add one in each iteration; otherwise, it will output values from 0-9.
for i in range(10): print (i+1)
1 2 3 4 5 6 7 8 9 10
Let’s iterate over a string of a word
Datacamp using for loop and only print the letter
for i in "Datacamp": if i == 'a': print (i)
a a a
Let’s say you want to define a list of elements and iterate over those elements one by one.
sequence = [1,2,8,100,200,'datacamp','tutorial']
for i in sequence: print (i)
1 2 8 100 200 datacamp tutorial
But what if you want to find the length of the list and then iterate over it? You will use the in-built
len function for it and then on the length output you will apply
range always expects an integer value.
for i in range(len(sequence)): print (sequence[i])
1 2 8 100 200 datacamp tutorial
Great! But why do you need to use the
len function when you can directly use
for i in numbers? The answer is simple. What if you would like to modify or work with the indices of the sequence like changing the element of an existing list, then you would need
for i in range(len(sequence)): element = sequence[i] if type(element) == int: sequence[i] = element + 4
5, 6, 12, 104, 204, 'datacamp', 'tutorial']
Cool, isn’t it? You were able to modify the elements of the list based on the
Let’s now see how you can print odd numbers between 1 - 20. To accomplish this, you will have to define three things in the
range function. The starting point, the ending point and the increment value (or steps) at which the loop will increment over the numbers 1 - 20.
for i in range(1,20,2): print (i)
1 3 5 7 9 11 13 15 17 19
for i in range(11): for j in range(i): print (i, end=' ') print()
1 2 2 3 3 3 4 4 4 4 5 5 5 5 5 6 6 6 6 6 6 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 9 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10
import pandas as pd
iris = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')
for i in range(len(iris)): Class = iris.iloc[i,4] if Class == 'versicolor' and i < 70: print (Class)
versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor
Next, let’s add two to every row of columns
columns = ['sepal_length','sepal_width','petal_length','petal_width']
for indices, row in iris.iterrows(): for column in columns: iris.at[indices,column] = row[column] + 2
Python’s lambda function is fast and powerful as compared to the basic
for loop. It is widely used, especially when dealing with Dataframes. You can process your data with the help of
Lambda function with very little code. Although, it sometimes becomes difficult to understand it.
x = [20, 30, 40, 50, 60] y = 
for v in x : y += [v * 5]
[100, 150, 200, 250, 300]
Now, let’s try this with a lambda and map function.
Map takes in a function, for example, a lambda function and a sequence
x and then returns a new sequence.
y = map(lambda x: x * 5,x)
<map at 0x11be7cc88>
It returns a generator function and to get the output from the generator; you pass the output as an argument to
[100, 150, 200, 250, 300]
Now, let’s take a step back and look at both the
for loop way and lambda/map() combination. You will notice that the difference between the two is adding
lambda, and removal of “for” and “in”. And also, within one line, you were able to code it.
Congratulations on finishing this basic Python For loop tutorial.
For loops are the backbone of every programming language and when it is Python, using For loops are not at all hard to code, and they are similar in spirit to writing an English sentence.
Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
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A Python tutorial to understand the uses of for loop in various ways including examples.
Python is a general-purpose programming language, which emphasizes making programming easy, efficient coding, and unleashes the user’s potential. Loops are the vital part of programming as it allows the user to repetitive use a set of codes using loops. So in the following article, we will see how to use
for loops in python.
Till the iteration of the last item in the sequence, for loop run the instructions. It iterates over sets of instructions in sequence, arrays, and a tuple for a pre-defined period or until the last item and calculation are executed.
For loop can be categorized in three ways.
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Python is a renowned general-purpose programming language. Unlike HTML or CSS, general-purpose programming languages are used in several application domains.
In programming languages, loops are a set of instructions that execute a sequence of code continuously until a certain condition is fulfilled. Most modern programming languages do include the concept of loops. The syntax for loops in each language may differ but the logic being used remains the same.
Many programming languages have several types of loops and the most renowned ones are while and for loop. Today we will only learn about while loop and where it should be preferred over other kinds of loops.
In most cases loops are interchangeable with each other but while loop should be preferred over other loops when the required condition is boolean. We can think of a while loop as a repeating if statement, to make the concept easier to understand.
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Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Swapping value in Python
Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead
>>> FirstName = "kalebu" >>> LastName = "Jordan" >>> FirstName, LastName = LastName, FirstName >>> print(FirstName, LastName) ('Jordan', 'kalebu')
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