Thread by @Sauain

Five NumPy Functions a beginner should know about🐍🌟

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1⃣ 𝗻𝗽.𝗮𝗿𝗿𝗮𝘆

In Numpy, we create arrays using the "array" function.

Numpy gives the power to create multi-dimensional arrays.

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2⃣ 𝗻𝗽.𝘀𝗵𝗮𝗽𝗲

The shape of an array is the number of elements in each dimension.

NumPy arrays have an attribute called shape that returns a tuple with each index having the number of corresponding elements.

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3⃣ 𝗻𝗽.𝗿𝗲𝘀𝗵𝗮𝗽𝗲

reshape is used to change the shape of the NumPy array without changing the elements of the array.

reshape is one the best function of NumPy, it helps a lot in calculations.

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4⃣ 𝗻𝗽.𝗮𝗿𝗼𝘂𝗻𝗱

This mathematical function helps the user to evenly round array elements to given number of decimals

numpy.around(arr, decimals = 0, out = None)

decimal : [int, optional] Decimal places we want to round off

out : [optional] Output resulted array

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5⃣ 𝗻𝗽.𝘁𝗿𝗮𝗻𝘀𝗽𝗼𝘀𝗲

Remember, in your maths class, to find the transpose of a matrix you have to solve long calculations.

In NumPy, it can be done only in a single line using transpose.

It has no effect on a 1-D array!

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