letting the code formatter do the work

Author: Paul Hobson

probscale/algo.py

@@ -2,7 +2,7 @@
 
 
 def _make_boot_index(elements, niter):
-    """ Generate an array of bootstrap sample sets
+    """Generate an array of bootstrap sample sets
 
     Parameters
     ----------
@@ -102,7 +102,7 @@ def _bs_fit(x, y, xhat, fitlogs=None, niter=10000, alpha=0.05):
 
 
 def _estimate_from_fit(xhat, slope, intercept, xlog=False, ylog=False):
-    """ Estimate the dependent variables of a linear fit given x-data
+    """Estimate the dependent variables of a linear fit given x-data
     and linear parameters.
 
     Parameters

probscale/formatters.py

@@ -3,7 +3,7 @@
 
 
 class _FormatterMixin(Formatter):
-    """ A mpl-axes formatter mixin class """
+    """A mpl-axes formatter mixin class"""
 
     @classmethod
     def _sig_figs(cls, x, n, expthresh=5, forceint=False):

probscale/probscale.py

@@ -23,7 +23,7 @@ class _minimal_norm(object):
 
     @classmethod
     def _approx_erf(cls, x):
-        """ Approximate solution to the error function
+        """Approximate solution to the error function
 
         http://en.wikipedia.org/wiki/Error_function
 
@@ -36,7 +36,7 @@ def _approx_erf(cls, x):
 
     @classmethod
     def _approx_inv_erf(cls, z):
-        """ Approximate solution to the inverse error function
+        """Approximate solution to the inverse error function
 
         http://en.wikipedia.org/wiki/Error_function
 
@@ -50,7 +50,7 @@ def _approx_inv_erf(cls, z):
 
     @classmethod
     def ppf(cls, q):
-        """ Percent point function (inverse of cdf)
+        """Percent point function (inverse of cdf)
 
         Wikipedia: https://goo.gl/Rtxjme
 
@@ -59,7 +59,7 @@ def ppf(cls, q):
 
     @classmethod
     def cdf(cls, x):
-        """ Cumulative density function
+        """Cumulative density function
 
         Wikipedia: https://goo.gl/ciUNLx
 
@@ -68,7 +68,7 @@ def cdf(cls, x):
 
 
 class ProbScale(ScaleBase):
-    """ A probability scale for matplotlib Axes.
+    """A probability scale for matplotlib Axes.
 
     Parameters
     ----------
@@ -105,7 +105,7 @@ def __init__(self, axis, **kwargs):
 
     @classmethod
     def _get_probs(cls, nobs, as_pct):
-        """ Returns the x-axis labels for a probability plot based on
+        """Returns the x-axis labels for a probability plot based on
         the number of observations (`nobs`).
         """
         if as_pct:

probscale/tests/helpers.py

@@ -4,7 +4,7 @@
 
 
 def seed(func):
-    """ Decorator to seed the RNG before any function. """
+    """Decorator to seed the RNG before any function."""
 
     @wraps(func)
     def wrapper(*args, **kwargs):

probscale/tests/test_viz.py

@@ -787,7 +787,9 @@ def test_probplot_pp(plot_data):
 
 
 @pytest.mark.mpl_image_compare(
-    baseline_dir=BASELINE_DIR, tolerance=TIGHT_TOLERANCE, remove_text=True,
+    baseline_dir=BASELINE_DIR,
+    tolerance=TIGHT_TOLERANCE,
+    remove_text=True,
 )
 def test_probplot_prob_bestfit(plot_data):
     fig, ax = plt.subplots()
@@ -983,7 +985,9 @@ def test_probplot_beta_dist_best_fit_y(plot_data):
 
 
 @pytest.mark.mpl_image_compare(
-    baseline_dir=BASELINE_DIR, tolerance=TIGHT_TOLERANCE, remove_text=True,
+    baseline_dir=BASELINE_DIR,
+    tolerance=TIGHT_TOLERANCE,
+    remove_text=True,
 )
 @pytest.mark.skipif(stats is None, reason="no scipy")
 def test_probplot_beta_dist_best_fit_x(plot_data):

probscale/validate.py

@@ -4,7 +4,7 @@
 
 
 def axes_object(ax):
-    """ Checks if a value if an Axes. If None, a new one is created.
+    """Checks if a value if an Axes. If None, a new one is created.
     Both the figure and axes are returned (in that order).
 
     """

probscale/viz.py

@@ -402,7 +402,7 @@ def plot_pos(data, postype=None, alpha=None, beta=None, exceedance=False):
 
 
 def _set_prob_limits(ax, probax, N):
-    """ Sets the limits of a probability axis based the number of point.
+    """Sets the limits of a probability axis based the number of point.
 
     Parameters
     ----------