how to take list of float as input in python with code examples

Taking a list of floats as input in Python can be done in a number of ways. One common method is to use the built-in input() function to prompt the user for a string of comma-separated values, which can then be parsed and converted to a list of floats.

Here is an example of how to take a list of floats as input in Python:

# Prompt the user for a list of comma-separated values
values = input("Enter a list of comma-separated values: ")

# Split the string into a list of strings
values = values.split(",")

# Convert each string to a float and store in a new list
values = [float(x) for x in values]

# Print the list of floats
print(values)

Another way is to use split() function,

values = "1.1,2.2,3.3,4.4"
values = values.split(",")
values = [float(x) for x in values]
print(values)

You can also use map() function to convert the list of string to float,

values = ["1.1","2.2","3.3","4.4"]
values = list(map(float, values))
print(values)

Another way is to use numpy library to convert a list of string to float,

import numpy as np
values = ["1.1","2.2","3.3","4.4"]
values = np.array(values, dtype=float)
print(values)

You can also use list comprehension to convert a list of string to float,

values = ["1.1","2.2","3.3","4.4"]
values = [float(x) for x in values]
print(values)

In these examples, the user is prompted to enter a list of comma-separated values, which are then split into a list of strings using the split() method. Each string is then converted to a float using a list comprehension or the map() function, and the resulting list of floats is stored in the values variable. You can then use this list of floats for any desired purpose in your code.

It's important to note that the input() function returns a string, so if you need to use the input as a number you will need to convert it using int() or float() function as per your requirement.

Another way to take a list of floats as input in Python is by using the split() function along with a list comprehension. The split() function can be used to break up a string into a list of substrings based on a specified delimiter. In this case, the delimiter is a comma.

Here is an example of how to take a list of floats as input in Python using the split() function and a list comprehension:

values = input("Enter a list of comma-separated values: ")
values = values.split(",")
values = [float(x) for x in values]
print(values)

In this example, the user is prompted to enter a list of comma-separated values, which are then passed to the split() function with a comma as the delimiter. This results in a list of strings, where each string represents a single value. The list comprehension is then used to convert each string to a float and store it in a new list. The resulting list of floats is stored in the values variable and can be used for any desired purpose in your code.

Another way to take a list of float as input is by using the map() function. The map() function can be used to apply a specified function to each item in an iterable, such as a list. In this case, the function used is the float() function, which converts a string to a float.

Here is an example of how to take a list of floats as input in Python using the map() function:

values = input("Enter a list of comma-separated values: ")
values = values.split(",")
values = list(map(float, values))
print(values)

In this example, the user is prompted to enter a list of comma-separated values, which are then passed to the split() function with a comma as the delimiter. This results in a list of strings, where each string represents a single value. The map() function is then used to convert each string to a float by passing the float() function as the first argument and the list of strings as the second argument. The resulting list of floats is stored in the values variable and can be used for any desired purpose in your code.

Another way to take a list of float as input is by using the numpy library which provides a function called numpy.fromstring() . This function can be used to convert a string of numbers separated by a specified delimiter into a numpy array of the specified data type. In this case, the data type is float.

Here is an example of how to take a list of floats as input in Python using numpy:

import numpy as np
values = input("Enter a list of comma-separated values: ")
values = np.fromstring(values, dtype=float, sep=',')
print(values)

In this example, the user is prompted to enter a list of comma-separated values, which are then passed to the numpy.fromstring() function with a comma as the delimiter and float as the data type. This results in a numpy array of floats, which can be used for any desired purpose in your code.

In conclusion, there are multiple ways to take a list of float as input in python, it depends on the situation and the requirement of the code.

Popular questions

1. What is the most basic way to take a list of floats as input in Python?

• The most basic way to take a list of floats as input in Python is by using the input() function to prompt the user to enter a list of values, and then using a list comprehension to convert the string of values to a list of floats.

2. How can we use the split() function to take a list of floats as input in Python?

• We can use the split() function to take a list of floats as input in Python by first prompting the user to enter a list of comma-separated values, then using the split() function to break up the string into a list of substrings, and then using a list comprehension to convert each string to a float and store it in a new list.

3. How can we use the map() function to take a list of floats as input in Python?

• We can use the map() function to take a list of floats as input in Python by first prompting the user to enter a list of comma-separated values, then using the split() function to break up the string into a list of substrings, and then using the map() function to apply the float() function to each item in the list of substrings, which converts each string to a float.

4. How can we use the numpy library to take a list of floats as input in python?

• We can use the numpy library to take a list of floats as input in python by first prompting the user to enter a list of comma-separated values, then using the numpy.fromstring() function to convert the string of values to numpy array of specified data type, which in this case is float.

5. What are the advantages of using numpy library for this task?

• The advantages of using numpy library for this task is that numpy arrays are more efficient and performant than Python lists, especially when working with large data sets or performing mathematical operations on the data. Additionally, numpy provides a wide range of mathematical and statistical functions that can be used to analyze and manipulate the data stored in the array.

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