How Can I Flatten and Convert a Nested List of Strings to a Flat List of Floats in Python?

Flattening and Converting Nested Lists to Floats using List Comprehensions

In Python, nested lists are commonly used to represent complex data structures. Sometimes, it may be necessary to flatten such lists or convert their elements to a different data type, such as float. Here's how you can achieve this using list comprehensions.

Nested List Conversion

Consider the following nested list:

l = [['40', '20', '10', '30'], ['20', '20', '20', '20', '20', '30', '20'], ['30', '20', '30', '50', '10', '30', '20', '20', '20'], ['100', '100'], ['100', '100', '100', '100', '100'], ['100', '100', '100', '100']]

To convert each element within this nested list to float, you can use a nested list comprehension:

[[float(y) for y in x] for x in l]

This comprehension iterates over each sublist x in l and creates a new list containing elements of type float, replacing the original strings.

Flattening and Conversion

If you want to flatten the nested list while converting the elements to float, you can use:

[float(y) for x in l for y in x]

Here, the comprehension is more complex. It first iterates over the sublists in l and then over the elements within each sublist. Each element y is converted to float and appended to the final flat list.

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