Aug 10, 2015 · Here is one way to do it using the XlsxWriter module: import xlsxwriter workbook = xlsxwriter.Workbook('arrays.xlsx') worksheet = workbook.add_worksheet() array = [['a1', 'a2', 'a3'], ['a4', 'a5', 'a6'], ['a7', 'a8', 'a9'], ['a10', 'a11', 'a12', 'a13', 'a14']] row = 0 for col, data in enumerate(array): worksheet.write_column(row, col, data ...

Jan 19, 2018 · Numpy's reshape has a functionality where you pass the one of the dimension (number of rows or number of columns) you want, numpy can figure out the other dimension by itself if you pass the other dimension as -1 >>> a.reshape(-1, 1) array([[1], [2], [3], [2], [4], [5]]) >>> a = np.array([1, 2, 3]) >>> a.reshape(-1, 1) array([[1], [2], [3]])

Feb 20, 2024 · To convert a row to a column, you’d reshape the array to have a shape of (-1, 1), where -1 lets NumPy calculate the appropriate dimension size. Here’s an example: The output of this code snippet: This code snippet creates a row array and then uses the reshape() function to convert it into a column array.

import numpy as np matrix1 = np.array ( [ [1,2,3], [4,5,6]]) vector1 = matrix1 [:,0] # This should have shape (2,1) but actually has (2,) matrix2 = np.array ( [ [2,3], [5,6]]) np.hstack ( (vector1, matrix2))

Nov 28, 2024 · Pandas DataFrame transpose () method transposes the index and columns of the DataFrame converting rows to columns in a pandas DataFrame. Let’s start with a simple example to illustrate the concept:

Feb 19, 2024 · A one-liner solution using the apply() method with a lambda function can transpose a DataFrame row to columns. This is a quick and concise way of achieving the goal when faced with simple transposition tasks.

Feb 19, 2024 · The simplest way to change rows to columns in a DataFrame is by using the transpose attribute .T. This method flips the DataFrame over its diagonal by writing rows as columns and vice-versa.

tmp = [] for v in matrix : . tmp.append(v[i]) . matrix_t.append(tmp) print(*matrix_t, sep='\n') """ " for v in matrix " extracts rows in matrix one by one. [ 11, 12, 13, 14 ], [ 21, 22, 23, 24 ], [ 31, 32, …

Mar 13, 2024 · Learn how to convert rows to columns and columns to rows in pandas DataFrame with simple examples, enhancing your data manipulation skills in Python.

In Python, the tabulate library stands out as a powerful tool for creating clean, customizable text tables from various data structures. This comprehensive guide explores how to use tabulate effectively in your Python projects.