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# Numpy -- Random numbers the non-legacy way | ||
## Goal | ||
If you don't see something like **np.random.default_rng()** in your code then you are probably using the old [Legacy Random Generation] (https://numpy.org/doc/stable/reference/random/legacy.html#legacy-random-generation). | ||
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**Don't use the legacy methods** for new source code!!! | ||
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Do it like this: | ||
```python | ||
import numpy as np | ||
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rng = np.random.default_rng() | ||
random_values = rng.random(size=(2, 10)) | ||
``` | ||
Questions to [David Rotermund](mailto:davrot@uni-bremen.de) | ||
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## [Random Generator](https://numpy.org/doc/stable/reference/random/generator.html#random-generator) | ||
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### Typical usage | ||
```python | ||
import numpy as np | ||
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rng = np.random.default_rng() | ||
random_values = rng.random(size=(2, 10)) | ||
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print(random_values) | ||
``` | ||
Output: | ||
``` | ||
[[0.81103943 0.1110591 0.42978062 0.47818377 0.91138636 0.47051031 | ||
0.08662082 0.1643707 0.48717037 0.17870536] | ||
[0.94499902 0.74089677 0.12221184 0.61603001 0.91198789 0.33900609 | ||
0.75832792 0.74465679 0.19940125 0.56674595]] | ||
``` | ||
### With seed: | ||
```python | ||
import numpy as np | ||
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rng = np.random.default_rng(seed=23) | ||
random_values = rng.random(size=(2, 10)) | ||
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print(random_values) | ||
``` | ||
Output: | ||
``` | ||
[[0.69393308 0.64145822 0.12864422 0.11370805 0.65334552 0.85345711 | ||
0.20177913 0.21801864 0.71658464 0.47069967] | ||
[0.41522193 0.3491478 0.06385375 0.45466617 0.30145328 0.38907675 | ||
0.54029782 0.68358969 0.62475238 0.74270445]] | ||
``` | ||
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## [Changing the random number generator](https://numpy.org/doc/stable/reference/random/bit_generators/index.html) | ||
### Default | ||
```python | ||
import numpy as np | ||
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rng = np.random.default_rng() | ||
print(rng) # -> Generator(PCG64) | ||
``` | ||
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