Numpy Tutorial => Selecting A Random Sample From An Array

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numpy

• Getting started with numpy
• Arrays
• Boolean Indexing
• File IO with numpy
• Filtering data
• Generating random data
• Creating a simple random array
• Creating random integers
• Generating random numbers drawn from specific distributions
• Selecting a random sample from an array
• Setting the seed
• Linear algebra with np.linalg
• numpy.cross
• numpy.dot
• Saving and loading of Arrays
• Simple Linear Regression
• subclassing ndarray

numpy

• Getting started with numpy
• Arrays
• Boolean Indexing
• File IO with numpy
• Filtering data
• Generating random data
• Creating a simple random array
• Creating random integers
• Generating random numbers drawn from specific distributions
• Selecting a random sample from an array
• Setting the seed
• Linear algebra with np.linalg
• numpy.cross
• numpy.dot
• Saving and loading of Arrays
• Simple Linear Regression
• subclassing ndarray

numpy Generating random data Selecting a random sample from an array

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Example

letters = list('abcde')

Select three letters randomly (with replacement - same item can be chosen multiple times):

np.random.choice(letters, 3) ''' Out: array(['e', 'e', 'd'], dtype='<U1') '''

Sampling without replacement:

np.random.choice(letters, 3, replace=False) ''' Out: array(['a', 'c', 'd'], dtype='<U1') '''

Assign probability to each letter:

# Choses 'a' with 40% chance, 'b' with 30% and the remaining ones with 10% each np.random.choice(letters, size=10, p=[0.4, 0.3, 0.1, 0.1, 0.1]) ''' Out: array(['a', 'b', 'e', 'b', 'a', 'b', 'b', 'c', 'a', 'b'], dtype='<U1') '''

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Ask any numpy Questions and Get Instant Answers from ChatGPT AI: ChatGPT answer me! PDF - Download numpy for free Previous Next This modified text is an extract of the original Stack Overflow Documentation created by following contributors and released under CC BY-SA 3.0 This website is not affiliated with Stack Overflow SUPPORT & PARTNERS

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