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docs: getting started updated

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Fabian Joswig 2021-11-15 13:12:02 +00:00
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10
pyerrors/__init__.py
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@ -15,11 +15,17 @@ import numpy as np
import pyerrors as pe
my_obs = pe.Obs([samples], ['ensemble_name'])
my_new_obs = 2 * np.log(my_obs) / my_obs
my_new_obs = 2 * np.log(my_obs) / my_obs ** 2
my_new_obs.gamma_method()
my_new_obs.details()
print(my_new_obs)
> 0.31498(72)
iamzero = my_new_obs - my_new_obs
iamzero.gamma_method()
print(iamzero)
> 0.0
```
# The `Obs` class
`pyerrors` introduces a new datatype, `Obs`, which simplifies error propagation and estimation for auto- and cross-correlated data.