![]() They provide an efficient way to leverage tested and reliable functionality, speeding up development and improving project quality. ![]() ![]() Third-party libraries are an essential tool for any programmer. Finally, we use the grid() function to display the grid of our visualization. Then, with the label and title methods, we create labels and the title of our table. Using the plot() method, we create the presentation table. In this example, we create a mock visualization of the number of sales over the years of a company. title ( 'Sales Growth Over the Years' ) 12 13 # Show the chart 14 plt. plot ( years, sales, marker = 'o' ) 7 8 # Add labels and title 9 plt. To download Pandas on your computer, follow these instructions:ġ # Sample data: years and sales 2 years = 3 sales = 4 5 # Create a line chart 6 plt. Pandas offers a wide variety of functions for data manipulation and analysis. ![]() Pandas is one of the most important libraries in Python, especially in fields like data science or machine learning (Machine Learning). Here are some of the most relevant functions: FunctionĬreates a NumPy array from a list or another iterable object.Ĭreates an array of zeros with specific dimensions.Ĭreates an array with a sequence of evenly spaced numbers in a specified range and a number of elements.Ĭreates an array with random values in the range with specified dimensions. The NumPy library offers a wide variety of functions that allow you to perform advanced mathematical calculations, create arrays, matrix, and much more. arange ( 10 ) 2 print ( array_numbers ) # output: 3 4 a = np. ![]()
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