Black 24.1.1

Author: raphaelvallat

pingouin/bayesian.py

@@ -1,4 +1,5 @@
 """Bayesian functions."""
+
 import warnings
 import numpy as np
 from scipy.integrate import quad

pingouin/circular.py

@@ -545,10 +545,7 @@ def circ_corrcc(x, y, correction_uniform=False):
         r = (r_minus - r_plus) / denom
 
     # Compute T- and p-values
-    tval = (
-        np.sqrt((n * (x_sin**2).mean() * (y_sin**2).mean()) / np.mean(x_sin**2 * y_sin**2))
-        * r
-    )
+    tval = np.sqrt((n * (x_sin**2).mean() * (y_sin**2).mean()) / np.mean(x_sin**2 * y_sin**2)) * r
 
     # Approximately distributed as a standard normal
     pval = 2 * norm.sf(abs(tval))

pingouin/multivariate.py

@@ -102,12 +102,8 @@ def multivariate_normality(X, alpha=0.05):
     mu = 1 - a ** (-p / 2) * (1 + p * b**2 / a + (p * (p + 2) * (b**4)) / (2 * a**2))
     si2 = (
         2 * (1 + 4 * b**2) ** (-p / 2)
-        + 2
-        * a ** (-p)
-        * (1 + (2 * p * b**4) / a**2 + (3 * p * (p + 2) * b**8) / (4 * a**4))
-        - 4
-        * wb ** (-p / 2)
-        * (1 + (3 * p * b**4) / (2 * wb) + (p * (p + 2) * b**8) / (2 * wb**2))
+        + 2 * a ** (-p) * (1 + (2 * p * b**4) / a**2 + (3 * p * (p + 2) * b**8) / (4 * a**4))
+        - 4 * wb ** (-p / 2) * (1 + (3 * p * b**4) / (2 * wb) + (p * (p + 2) * b**8) / (2 * wb**2))
     )
 
     # Lognormal mean and variance

pingouin/parametric.py

@@ -1354,9 +1354,7 @@ def welch_anova(data=None, dv=None, between=None):
     ms_betadj = ss_betadj / ddof1
 
     # Calculate lambda, F-value, p-value and np2
-    lamb = (3 * np.sum((1 / (grp.count() - 1)) * (1 - (weights / weights.sum())) ** 2)) / (
-        r**2 - 1
-    )
+    lamb = (3 * np.sum((1 / (grp.count() - 1)) * (1 - (weights / weights.sum())) ** 2)) / (r**2 - 1)
     ddof2 = 1 / lamb
     fval = ms_betadj / (1 + (2 * lamb * (r - 2)) / 3)
     pval = f.sf(fval, ddof1, ddof2)

pingouin/plotting.py

@@ -4,6 +4,7 @@
 - Raphael Vallat <[email protected]>
 - Nicolas Legrand <[email protected]>
 """
+
 import numpy as np
 import pandas as pd
 import seaborn as sns

pingouin/tests/test_pandas.py

@@ -4,6 +4,7 @@
 - Nicolas Legrand <[email protected]>
 - Raphael Vallat <[email protected]>
 """
+
 import numpy as np
 import pingouin as pg
 from unittest import TestCase

pingouin/utils.py

@@ -1,4 +1,5 @@
 """Helper functions."""
+
 import numbers
 import numpy as np
 import pandas as pd