statannotations

https://statannotations.readthedocs.io/en/latest/

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Python package for adding statistical annotations and significance tests to data visualizations.

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### Initialize StatTest object

Source: https://statannotations.readthedocs.io/en/latest/custom-test.html

Example of initializing a StatTest object with a custom function.

```python
from statannotations.stats.StatTest import StatTest

custom_long_name = 'Log t-test'
custom_short_name = 'log-t'
custom_func = log_ttest
custom_test = StatTest(custom_func, custom_long_name, custom_short_name)
```

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### Custom t-test function

Source: https://statannotations.readthedocs.io/en/latest/custom-test.html

Example of a custom t-test function that operates on log-transformed data.

```python
import numpy as np
from scipy.stats import ttest_ind

def log_ttest(group_data1, group_data2, **stats_params):
    group_data1_log = np.log(group_data1)
    group_data2_log = np.log(group_data2)

    return ttest_ind(group_data1_log, group_data2_log, **stats_params)
```

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### Configure Annotator with custom test

Source: https://statannotations.readthedocs.io/en/latest/custom-test.html

Example of configuring an Annotator object to use a custom StatTest.

```python
annot = Annotator(<ax>, <pairs>)
annot.configure(test=custom_test, comparisons_correction=None,
                text_format='star')
```

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