6/23/2023 0 Comments Numpy lzipLet’s now take a look at how we can use the built-in zip() function to transpose a list of lists in Python. Use the Zip Function to Transpose a List of Lists in Python Want to learn how to transpose a Pandas Dataframe? Check out my in-depth tutorial with easy to follow along examples here. In the next section, you’ll learn how to transpose a two-dimensional array using the built-in zip() function. tolist() method to turn our array back to a list of lists Convert our list of lists to a numpy array.# This is the same as: transposed = np.array(list_of_lists).T.tolist()įrom the example above, we can see how easy it is to use numpy to transpose a Python list of lists. Transposed_list_of_lists = transposed_array.tolist() Let’s see how we can use numpy to transpose a list of lists: # Transpose a list of lists in Python using numpy T.īefore we can use any of these methods, however, we need to convert our list or our list of lists to a numpy array. transpose() method, which can also be shortened to just. One of these operations is the transposing of data, using either the. These arrays share many qualities with Python lists but also allow us to complete a number of helpful mathematical operations on them. Python comes with a great utility, numpy, that makes working with numerical operations incredibly simple! Numpy comes packaged with different object types, one of which is the numpy array. Transpose a Python List of Lists using Numpy Now let’s get started at learning how to transpose a two-dimensional array in Python. Let’s take a look at what this looks like visually: original = [ When we transpose a list of lists, we essentially turn the rows of our matrix into the columns, and turn the columns into the rows. We can think of sublists in our list of lists in Python as the rows of a matrix. But what exactly does it mean to transpose a list of lists in Python? Transposing arrays is a common function you need to do when you’re working on machine learning projects. What Does it Mean to Transpose a Python List of Lists? Use a List Comprehension to Transpose a List of Lists in Python.Transpose a Python List of Lists using a For Loop.Use Itertools to Transpose a Python List of Lists.Use the Zip Function to Transpose a List of Lists in Python.Transpose a Python List of Lists using Numpy.What Does it Mean to Transpose a Python List of Lists?.Whenever you need to convert from to column to row or from row to column in Python, which is very common in data processing, you should consider the zip function. In the two applications above, the zip function transforms the row data to column data. It is worth-noting that the output of pd.DataFrame(names) is not what you want. Pd.DataFrame(list(zip(*names)), columns=('first name', 'middle name', 'last name')) In that case, you can still conveniently build Data Frame or Numpy arrays with the help of the zip function. However, when you already have some Lists, quite often they are in an awkward structure. You can construct Data Frames or Numpy arrays from Lists/Tuples or Dictionary directly. So we can construct dictionary using two Lists/Tuples with the help of the zip function:ĭata Frames are 2-dimensional, rectangle shape lists where each column has the same data type, and Numpy arrays are high dimensional arrays for numbers. At the end of the article, I pointed out the key characteristics of the zip function.ĭictionary is essentially a list of two-element tuples, with some extra benefit (eg., efficient algorithms for finding elements). Interestingly, you can build the other 2 data structures using List/Tuple and the zip function quite elegantly. Among them, List/Tuple is the most basic data structure. The arguably top 3 data structures in Python are List/Tuple, Dictionary/Set, and Data Frame/Numpy arrays.
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