Data Science Faker
Project description
DSFaker aims at providing data scientists with functions for generating and streaming arrays of data such as:
Time-series
Date/Datetime
Autoincrement & random autoincrement
Trigonometric (Sin, Sinh, Cos, Cosh, Tan, Tanh)
Random distributions
Pattern repetition
Noise application
Basic operators between generators and/or python int/float types (+, -, /, //, *, …) are also implemented.
To generate such data, you can specify the distribution you want amongst the ones provided by numpy.random. Or you can also implement your own distribution to generate data.
Installation
pip install dsfakerDocumentation
The documentation is available here: https://eds-aphp.github.io/dsfaker/.
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