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Remove == None and replace with is

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Neil Lawrence 2021-05-18 17:43:52 +01:00 • committed by GitHub
parent fee16c7b18
commit 89a7988bdd
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1 changed files with 10 additions and 10 deletions
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20
GPy/plotting/matplot_dep/visualize.py
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@ -39,7 +39,7 @@ class vpython_show(data_show):
super(vpython_show, self).__init__(vals) super(vpython_show, self).__init__(vals)
# If no axes are defined, create some. # If no axes are defined, create some.
if scene==None: if scene is None:
self.scene = visual.display(title='Data Visualization') self.scene = visual.display(title='Data Visualization')
else: else:
self.scene = scene self.scene = scene
@ -57,7 +57,7 @@ class matplotlib_show(data_show):
super(matplotlib_show, self).__init__(vals) super(matplotlib_show, self).__init__(vals)
# If no axes are defined, create some. # If no axes are defined, create some.
if axes==None: if axes is None:
fig = plt.figure() fig = plt.figure()
self.axes = fig.add_subplot(111) self.axes = fig.add_subplot(111)
else: else:
@ -190,7 +190,7 @@ class lvm_subplots(lvm):
def __init__(self, vals, Model, data_visualize, latent_axes=None, sense_axes=None): def __init__(self, vals, Model, data_visualize, latent_axes=None, sense_axes=None):
self.nplots = int(np.ceil(Model.input_dim/2.))+1 self.nplots = int(np.ceil(Model.input_dim/2.))+1
assert len(latent_axes)==self.nplots assert len(latent_axes)==self.nplots
if vals==None: if vals is None:
vals = Model.X[0, :] vals = Model.X[0, :]
self.latent_values = vals self.latent_values = vals
@ -215,9 +215,9 @@ class lvm_dimselect(lvm):
""" """
def __init__(self, vals, model, data_visualize, latent_axes=None, sense_axes=None, latent_index=[0, 1], labels=None): def __init__(self, vals, model, data_visualize, latent_axes=None, sense_axes=None, latent_index=[0, 1], labels=None):
if latent_axes==None and sense_axes==None: if latent_axes is None and sense_axes is None:
self.fig,(latent_axes,self.sense_axes) = plt.subplots(1,2) self.fig,(latent_axes,self.sense_axes) = plt.subplots(1,2)
elif sense_axes==None: elif sense_axes is None:
fig=plt.figure() fig=plt.figure()
self.sense_axes = fig.add_subplot(111) self.sense_axes = fig.add_subplot(111)
else: else:
@ -300,7 +300,7 @@ class image_show(matplotlib_show):
self.set_image(self.vals) self.set_image(self.vals)
if not self.palette == []: # Can just show the image (self.set_image() took care of setting the palette) if not self.palette == []: # Can just show the image (self.set_image() took care of setting the palette)
self.handle = self.axes.imshow(self.vals, interpolation='nearest') self.handle = self.axes.imshow(self.vals, interpolation='nearest')
elif cmap==None: # Use a jet map. elif cmap is None: # Use a jet map.
self.handle = self.axes.imshow(self.vals, cmap=plt.cm.jet, interpolation='nearest') # @UndefinedVariable self.handle = self.axes.imshow(self.vals, cmap=plt.cm.jet, interpolation='nearest') # @UndefinedVariable
else: # Use the selected map. else: # Use the selected map.
self.handle = self.axes.imshow(self.vals, cmap=cmap, interpolation='nearest') # @UndefinedVariable self.handle = self.axes.imshow(self.vals, cmap=cmap, interpolation='nearest') # @UndefinedVariable
@ -368,7 +368,7 @@ class mocap_data_show_vpython(vpython_show):
def draw_edges(self): def draw_edges(self):
self.rods = [] self.rods = []
self.line_handle = [] self.line_handle = []
if not self.connect==None: if self.connect is not None:
self.I, self.J = np.nonzero(self.connect) self.I, self.J = np.nonzero(self.connect)
for i, j in zip(self.I, self.J): for i, j in zip(self.I, self.J):
pos, axis = self.pos_axis(i, j) pos, axis = self.pos_axis(i, j)
@ -380,7 +380,7 @@ class mocap_data_show_vpython(vpython_show):
def modify_edges(self): def modify_edges(self):
self.line_handle = [] self.line_handle = []
if not self.connect==None: if self.connect is not None:
self.I, self.J = np.nonzero(self.connect) self.I, self.J = np.nonzero(self.connect)
for rod, i, j in zip(self.rods, self.I, self.J): for rod, i, j in zip(self.rods, self.I, self.J):
rod.pos, rod.axis = self.pos_axis(i, j) rod.pos, rod.axis = self.pos_axis(i, j)
@ -409,7 +409,7 @@ class mocap_data_show(matplotlib_show):
"""Base class for visualizing motion capture data.""" """Base class for visualizing motion capture data."""
def __init__(self, vals, axes=None, connect=None, color='b'): def __init__(self, vals, axes=None, connect=None, color='b'):
if axes==None: if axes is None:
fig = plt.figure() fig = plt.figure()
axes = fig.add_subplot(111, projection='3d') #, aspect='equal') aspect equal not implemented in 3D plots currently see this issue: https://github.com/matplotlib/matplotlib/issues/17172 axes = fig.add_subplot(111, projection='3d') #, aspect='equal') aspect equal not implemented in 3D plots currently see this issue: https://github.com/matplotlib/matplotlib/issues/17172
super(mocap_data_show, self).__init__(vals, axes) super(mocap_data_show, self).__init__(vals, axes)
@ -428,7 +428,7 @@ class mocap_data_show(matplotlib_show):
def draw_edges(self): def draw_edges(self):
self.line_handle = [] self.line_handle = []
if not self.connect==None: if self.connect is not None:
x = [] x = []
y = [] y = []
z = [] z = []