matplotlib · anntzer · Dec 31, 2019 · Dec 30, 2019 · timhoffm · Dec 30, 2019
diff --git a/examples/images_contours_and_fields/contourf_log.py b/examples/images_contours_and_fields/contourf_log.py
@@ -20,7 +20,7 @@
 # A low hump with a spike coming out.
 # Needs to have z/colour axis on a log scale so we see both hump and spike.
 # linear scale only shows the spike.
-Z1 = np.exp(-(X)**2 - (Y)**2)
+Z1 = np.exp(-X**2 - Y**2)
 Z2 = np.exp(-(X * 10)**2 - (Y * 10)**2)
 z = Z1 + 50 * Z2
 

diff --git a/examples/images_contours_and_fields/pcolor_demo.py b/examples/images_contours_and_fields/pcolor_demo.py
@@ -89,7 +89,7 @@
 # A low hump with a spike coming out.
 # Needs to have z/colour axis on a log scale so we see both hump and spike.
 # linear scale only shows the spike.
-Z1 = np.exp(-(X)**2 - (Y)**2)
+Z1 = np.exp(-X**2 - Y**2)
 Z2 = np.exp(-(X * 10)**2 - (Y * 10)**2)
 Z = Z1 + 50 * Z2
 

diff --git a/examples/text_labels_and_annotations/mathtext_examples.py b/examples/text_labels_and_annotations/mathtext_examples.py
@@ -72,7 +72,7 @@ def doall():
     plt.gca().set_yticklabels("", visible=False)
 
     # Gap between lines in axes coords
-    line_axesfrac = (1. / (n_lines))
+    line_axesfrac = 1 / n_lines
 
     # Plotting header demonstration formula
     full_demo = mathext_demos[0]
@@ -82,7 +82,7 @@ def doall():
 
     # Plotting features demonstration formulae
     for i_line in range(1, n_lines):
-        baseline = 1 - (i_line) * line_axesfrac
+        baseline = 1 - i_line * line_axesfrac
         baseline_next = baseline - line_axesfrac
         title = mathtext_titles[i_line] + ":"
         fill_color = ['white', mpl_blue_rvb][i_line % 2]

diff --git a/examples/userdemo/colormap_normalizations.py b/examples/userdemo/colormap_normalizations.py
@@ -21,7 +21,7 @@
 # z/colour axis on a log scale so we see both hump and spike.  linear
 # scale only shows the spike.
 
-Z1 = np.exp(-(X)**2 - (Y)**2)
+Z1 = np.exp(-X**2 - Y**2)
 Z2 = np.exp(-(X * 10)**2 - (Y * 10)**2)
 Z = Z1 + 50 * Z2
 
@@ -41,7 +41,7 @@
 # sine wave in Y. We can remove the power law using a PowerNorm.
 
 X, Y = np.mgrid[0:3:complex(0, N), 0:2:complex(0, N)]
-Z1 = (1 + np.sin(Y * 10.)) * X**(2.)
+Z1 = (1 + np.sin(Y * 10.)) * X**2
 
 fig, ax = plt.subplots(2, 1)
 

diff --git a/examples/userdemo/colormap_normalizations_power.py b/examples/userdemo/colormap_normalizations_power.py
@@ -18,7 +18,7 @@
 sine wave in Y. We can remove the power law using a PowerNorm.
 '''
 X, Y = np.mgrid[0:3:complex(0, N), 0:2:complex(0, N)]
-Z1 = (1 + np.sin(Y * 10.)) * X**(2.)
+Z1 = (1 + np.sin(Y * 10.)) * X**2
 
 fig, ax = plt.subplots(2, 1)
 

diff --git a/lib/matplotlib/_layoutbox.py b/lib/matplotlib/_layoutbox.py
@@ -350,15 +350,15 @@ def _is_subplotspec_layoutbox(self):
         Helper to check if this layoutbox is the layoutbox of a
         subplotspec
         '''
-        name = (self.name).split('.')[-1]
+        name = self.name.split('.')[-1]
         return name[:2] == 'ss'
 
     def _is_gridspec_layoutbox(self):
         '''
         Helper to check if this layoutbox is the layoutbox of a
         gridspec
         '''
-        name = (self.name).split('.')[-1]
+        name = self.name.split('.')[-1]
         return name[:8] == 'gridspec'
 
     def find_child_subplots(self):

diff --git a/lib/matplotlib/animation.py b/lib/matplotlib/animation.py
@@ -89,7 +89,7 @@ def correct_roundoff(x, dpi, n):
 
     wnew = int(w * dpi / n) * n / dpi
     hnew = int(h * dpi / n) * n / dpi
-    return (correct_roundoff(wnew, dpi, n), correct_roundoff(hnew, dpi, n))
+    return correct_roundoff(wnew, dpi, n), correct_roundoff(hnew, dpi, n)
 
 
 # A registry for available MovieWriter classes

diff --git a/lib/matplotlib/artist.py b/lib/matplotlib/artist.py
@@ -200,7 +200,6 @@ def axes(self, new_axes):
         self._axes = new_axes
         if new_axes is not None and new_axes is not self:
             self.stale_callback = _stale_axes_callback
-        return new_axes
 
     @property
     def stale(self):

diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
@@ -610,7 +610,7 @@ def invert(x):
             secax.set_xlabel('Period [s]')
             plt.show()
         """
-        if (location in ['top', 'bottom'] or isinstance(location, Number)):
+        if location in ['top', 'bottom'] or isinstance(location, Number):
             secondary_ax = SecondaryAxis(self, 'x', location, functions,
                                          **kwargs)
             self.add_child_axes(secondary_ax)

diff --git a/lib/matplotlib/axes/_base.py b/lib/matplotlib/axes/_base.py
@@ -2523,7 +2523,7 @@ def tol(x): return 1e-5 * abs(x) + 1e-8
             'minposy', self.yaxis, self._ymargin, y_stickies, self.set_ybound)
 
     def _get_axis_list(self):
-        return (self.xaxis, self.yaxis)
+        return self.xaxis, self.yaxis
 
     def _get_axis_map(self):
         """
@@ -3954,7 +3954,7 @@ def _get_view(self):
         """
         xmin, xmax = self.get_xlim()
         ymin, ymax = self.get_ylim()
-        return (xmin, xmax, ymin, ymax)
+        return xmin, xmax, ymin, ymax
 
     def _set_view(self, view):
         """

diff --git a/lib/matplotlib/backend_bases.py b/lib/matplotlib/backend_bases.py
@@ -2876,7 +2876,7 @@ def press_zoom(self, event):
         """Callback for mouse button press in zoom to rect mode."""
         # If we're already in the middle of a zoom, pressing another
         # button works to "cancel"
-        if self._ids_zoom != []:
+        if self._ids_zoom:
             for zoom_id in self._ids_zoom:
                 self.canvas.mpl_disconnect(zoom_id)
             self.release(event)

diff --git a/lib/matplotlib/backend_tools.py b/lib/matplotlib/backend_tools.py
@@ -868,7 +868,7 @@ def _press(self, event):
 
         # If we're already in the middle of a zoom, pressing another
         # button works to "cancel"
-        if self._ids_zoom != []:
+        if self._ids_zoom:
             self._cancel_action()
 
         if event.button == 1:

diff --git a/lib/matplotlib/backends/backend_svg.py b/lib/matplotlib/backends/backend_svg.py
@@ -1193,15 +1193,13 @@ def print_svg(self, filename, *args, **kwargs):
                 fh = TextIOWrapper(fh, 'utf-8')
                 detach = True
 
-            result = self._print_svg(filename, fh, **kwargs)
+            self._print_svg(filename, fh, **kwargs)
 
             # Detach underlying stream from wrapper so that it remains open in
             # the caller.
             if detach:
                 fh.detach()
 
-        return result
-
     def print_svgz(self, filename, *args, **kwargs):
         with cbook.open_file_cm(filename, "wb") as fh, \
                 gzip.GzipFile(mode='w', fileobj=fh) as gzipwriter:

diff --git a/lib/matplotlib/contour.py b/lib/matplotlib/contour.py
@@ -1429,7 +1429,7 @@ def _process_args(self, *args, **kwargs):
             if (t != self.ax.transData and
                     any(t.contains_branch_seperately(self.ax.transData))):
                 trans_to_data = t - self.ax.transData
-                pts = (np.vstack([x.flat, y.flat]).T)
+                pts = np.vstack([x.flat, y.flat]).T
                 transformed_pts = trans_to_data.transform(pts)
                 x = transformed_pts[..., 0]
                 y = transformed_pts[..., 1]

diff --git a/lib/matplotlib/dates.py b/lib/matplotlib/dates.py
@@ -889,16 +889,15 @@ def __init__(self, locator, tz=None, defaultfmt='%Y-%m-%d'):
         self._tz = tz
         self.defaultfmt = defaultfmt
         self._formatter = DateFormatter(self.defaultfmt, tz)
-        self.scaled = {DAYS_PER_YEAR: rcParams['date.autoformatter.year'],
-                       DAYS_PER_MONTH: rcParams['date.autoformatter.month'],
-                       1.0: rcParams['date.autoformatter.day'],
-                       1. / HOURS_PER_DAY: rcParams['date.autoformatter.hour'],
-                       1. / (MINUTES_PER_DAY):
-                           rcParams['date.autoformatter.minute'],
-                       1. / (SEC_PER_DAY):
-                           rcParams['date.autoformatter.second'],
-                       1. / (MUSECONDS_PER_DAY):
-                           rcParams['date.autoformatter.microsecond']}
+        self.scaled = {
+            DAYS_PER_YEAR: rcParams['date.autoformatter.year'],
+            DAYS_PER_MONTH: rcParams['date.autoformatter.month'],
+            1: rcParams['date.autoformatter.day'],
+            1 / HOURS_PER_DAY: rcParams['date.autoformatter.hour'],
+            1 / MINUTES_PER_DAY: rcParams['date.autoformatter.minute'],
+            1 / SEC_PER_DAY: rcParams['date.autoformatter.second'],
+            1 / MUSECONDS_PER_DAY: rcParams['date.autoformatter.microsecond']
+        }
 
     def _set_locator(self, locator):
         self._locator = locator

diff --git a/lib/matplotlib/hatch.py b/lib/matplotlib/hatch.py
@@ -95,7 +95,7 @@ def __init__(self, hatch, density):
             self.num_vertices = 0
         else:
             self.num_shapes = ((self.num_rows // 2 + 1) * (self.num_rows + 1) +
-                               (self.num_rows // 2) * (self.num_rows))
+                               (self.num_rows // 2) * self.num_rows)
             self.num_vertices = (self.num_shapes *
                                  len(self.shape_vertices) *
                                  (1 if self.filled else 2))

diff --git a/lib/matplotlib/image.py b/lib/matplotlib/image.py
@@ -684,7 +684,7 @@ def set_data(self, A):
             raise TypeError("Image data of dtype {} cannot be converted to "
                             "float".format(self._A.dtype))
 
-        if (self._A.ndim == 3 and self._A.shape[-1] == 1):
+        if self._A.ndim == 3 and self._A.shape[-1] == 1:
             # If just one dimension assume scalar and apply colormap
             self._A = self._A[:, :, 0]
 

diff --git a/lib/matplotlib/legend.py b/lib/matplotlib/legend.py
@@ -1048,7 +1048,7 @@ def _get_anchored_bbox(self, loc, bbox, parentbbox, renderer):
         c = anchor_coefs[loc]
 
         fontsize = renderer.points_to_pixels(self._fontsize)
-        container = parentbbox.padded(-(self.borderaxespad) * fontsize)
+        container = parentbbox.padded(-self.borderaxespad * fontsize)
         anchored_box = bbox.anchored(c, container=container)
         return anchored_box.x0, anchored_box.y0
 

diff --git a/lib/matplotlib/mathtext.py b/lib/matplotlib/mathtext.py
@@ -568,7 +568,7 @@ def _get_font(self, font):
 
     def _get_offset(self, font, glyph, fontsize, dpi):
         if font.postscript_name == 'Cmex10':
-            return ((glyph.height/64.0/2.0) + (fontsize/3.0 * dpi/72.0))
+            return (glyph.height / 64 / 2) + (fontsize/3 * dpi/72)
         return 0.
 
     def _get_info(self, fontname, font_class, sym, fontsize, dpi, math=True):
@@ -2025,7 +2025,7 @@ def __init__(self, c, height, depth, state, always=False, factor=None):
         shift = 0
         if state.font != 0:
             if factor is None:
-                factor = (target_total) / (char.height + char.depth)
+                factor = target_total / (char.height + char.depth)
             state.fontsize *= factor
             char = Char(sym, state)
 

diff --git a/lib/matplotlib/tests/test_figure.py b/lib/matplotlib/tests/test_figure.py
@@ -42,8 +42,8 @@ def test_align_labels():
 
     for i in range(3):
         ax = fig.add_subplot(gs[2, i])
-        ax.set_xlabel('XLabel2 %d' % (i))
-        ax.set_ylabel('YLabel2 %d' % (i))
+        ax.set_xlabel(f'XLabel2 {i}')
+        ax.set_ylabel(f'YLabel2 {i}')
 
         if i == 2:
             ax.plot(np.arange(0, 1e4, 10))

diff --git a/lib/matplotlib/tests/test_triangulation.py b/lib/matplotlib/tests/test_triangulation.py
@@ -941,7 +941,7 @@ def meshgrid_triangles(n):
     tri = []
     for i in range(n-1):
         for j in range(n-1):
-            a = i + j*(n)
+            a = i + j*n
             b = (i+1) + j*n
             c = i + (j+1)*n
             d = (i+1) + (j+1)*n

diff --git a/lib/matplotlib/ticker.py b/lib/matplotlib/ticker.py
@@ -1977,15 +1977,15 @@ def le(self, x):
         'Return the largest n: n*step <= x.'
         d, m = divmod(x, self.step)
         if self.closeto(m / self.step, 1):
-            return (d + 1)
+            return d + 1
         return d
 
     def ge(self, x):
         'Return the smallest n: n*step >= x.'
         d, m = divmod(x, self.step)
         if self.closeto(m / self.step, 0):
             return d
-        return (d + 1)
+        return d + 1
 
 
 class MaxNLocator(Locator):

diff --git a/lib/matplotlib/tri/triinterpolate.py b/lib/matplotlib/tri/triinterpolate.py
@@ -1125,7 +1125,7 @@ def compute_geom_weights(self):
         weights = np.zeros([np.size(self._triangles, 0), 3])
         tris_pts = self._tris_pts
         for ipt in range(3):
-            p0 = tris_pts[:, (ipt) % 3, :]
+            p0 = tris_pts[:, ipt % 3, :]
             p1 = tris_pts[:, (ipt+1) % 3, :]
             p2 = tris_pts[:, (ipt-1) % 3, :]
             alpha1 = np.arctan2(p1[:, 1]-p0[:, 1], p1[:, 0]-p0[:, 0])

diff --git a/lib/mpl_toolkits/axisartist/axis_artist.py b/lib/mpl_toolkits/axisartist/axis_artist.py
@@ -334,7 +334,7 @@ def draw(self, renderer):
         text_ref_angle = self._get_text_ref_angle()
         offset_ref_angle = self._get_offset_ref_angle()
 
-        theta = (offset_ref_angle)/180.*np.pi
+        theta = np.deg2rad(offset_ref_angle)
         dd = self._get_offset_radius()
         dx, dy = dd * np.cos(theta), dd * np.sin(theta)
         offset_tr.translate(dx, dy)
@@ -357,7 +357,7 @@ def get_window_extent(self, renderer):
         text_ref_angle = self._get_text_ref_angle()
         offset_ref_angle = self._get_offset_ref_angle()
 
-        theta = (offset_ref_angle)/180.*np.pi
+        theta = np.deg2rad(offset_ref_angle)
         dd = self._get_offset_radius()
         dx, dy = dd * np.cos(theta), dd * np.sin(theta)
         offset_tr.translate(dx, dy)
@@ -722,7 +722,7 @@ def LABELPAD(self):
 
     @LABELPAD.setter
     def LABELPAD(self, v):
-        return self.label.set_pad(v)
+        self.label.set_pad(v)
 
     def __init__(self, axes,
                  helper,

diff --git a/lib/mpl_toolkits/mplot3d/axis3d.py b/lib/mpl_toolkits/mplot3d/axis3d.py
@@ -389,15 +389,15 @@ def d_interval(self):
 
     @d_interval.setter
     def d_interval(self, minmax):
-        return self.set_data_interval(*minmax)
+        self.set_data_interval(*minmax)
 
     @property
     def v_interval(self):
         return self.get_view_interval()
 
     @d_interval.setter
     def v_interval(self, minmax):
-        return self.set_view_interval(*minmax)
+        self.set_view_interval(*minmax)
 
 
 # Use classes to look at different data limits

diff --git a/tutorials/colors/colormapnorms.py b/tutorials/colors/colormapnorms.py
@@ -54,7 +54,7 @@
 # A low hump with a spike coming out of the top right.  Needs to have
 # z/colour axis on a log scale so we see both hump and spike.  linear
 # scale only shows the spike.
-Z1 = np.exp(-(X)**2 - (Y)**2)
+Z1 = np.exp(-X**2 - Y**2)
 Z2 = np.exp(-(X * 10)**2 - (Y * 10)**2)
 Z = Z1 + 50 * Z2
 
@@ -126,7 +126,7 @@
 
 N = 100
 X, Y = np.mgrid[0:3:complex(0, N), 0:2:complex(0, N)]
-Z1 = (1 + np.sin(Y * 10.)) * X**(2.)
+Z1 = (1 + np.sin(Y * 10.)) * X**2
 
 fig, ax = plt.subplots(2, 1)