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NumPy in a Nutshell
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NumPy in a Nutshell

NumPy in a Nutshell

1. Getting Started with NumPy
What is NumPy?Function array()Basic Array Creation Quiz
2. Dimensions in Arrays
1-D ArraysMathematical Operations with 1-D Arrays2-D Arrays3-D ArraysMultidimensional Arrays Quiz
3. Indexing and Slicing
Access Array ElementsMatch Math Operations Access 2-D and 3-D ArraysMatch the Slicing Negative IndexingMatch the IndicesGet One Dimensional Array Using Slice and Only Positive Indexes Get One Dimensional Array Using Only Negative Indexes
4. Important Functions
ReshapingFlatteningJoining Sorting ArraysCopying Arrays

book1-D Arrays

A one-dimensional array is a collection of elements, all of the same type, indexed by sequences of natural numbers.

Let's have a look at an example of creating a 1-D array:


              
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import numpy as np

# Creating array
arr = np.array([1, 2, 0, 0])

# Displaying array
print(arr)
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Note

We should use the np.array() function and enclose your 1-dimensional array in square brackets. For example: np.array([value1, value2, value3]).

Select all options with the INCORRECT code for creating a 1-D array.

Select all options with the INCORRECT code for creating a 1-D array.

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Seção 2. Capítulo 1
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