Added my own FloatSlider, IntSlider

They create a slider with continuous_update=False. Just keeping
code more readable by avoiding long lines.

book_format.py

@@ -1,129 +1,129 @@
-# -*- coding: utf-8 -*-
-
-"""Copyright 2015 Roger R Labbe Jr.
-
-
-Code supporting the book
-
-Kalman and Bayesian Filters in Python
-https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python
-
-
-This is licensed under an MIT license. See the LICENSE.txt file
-for more information.
-"""
-
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-from contextlib import contextmanager
-from IPython.core.display import HTML
-import json
-import matplotlib
-import matplotlib.pylab as pylab
-import matplotlib.pyplot as plt
-import numpy as np
-import os.path
-import sys
-import warnings
-from kf_book.book_plots import set_figsize, reset_axis
-
-# version 1.4.3 of matplotlib has a bug that makes
-# it issue a spurious warning on every plot that
-# clutters the notebook output
-if matplotlib.__version__ == '1.4.3':
-    warnings.simplefilter(action="ignore", category=FutureWarning)
-
-try:
-    matplotlib.style.use('default')
-except:
-    pass
-
-def test_filterpy_version():
-
-    import filterpy
-    from distutils.version import LooseVersion
-
-    v = filterpy.__version__
-    min_version = "1.2.4"
-    if LooseVersion(v) < LooseVersion(min_version):
-       raise Exception("Minimum FilterPy version supported is {}.\n"
-                       "Please install a more recent version.\n"
-                       "   ex: pip install filterpy --upgrade".format(
-             min_version))
-
-
-# ensure that we have the correct filterpy loaded. This is
-# called when this module is imported at the top of each book
-# chapter so the reader can see that they need to update FilterPy.
-test_filterpy_version()
-
-pylab.rcParams['figure.max_open_warning'] = 50
-pylab.rcParams['figure.figsize'] = 8, 3
-
-
-
-@contextmanager
-def numpy_precision(precision):
-	old = np.get_printoptions()['precision']
-	np.set_printoptions(precision=precision)
-	yield
-	np.set_printoptions(old)
-
-@contextmanager
-def printoptions(*args, **kwargs):
-    original = np.get_printoptions()
-    np.set_printoptions(*args, **kwargs)
-    yield
-    np.set_printoptions(**original)
-
-def _decode_list(data):
-    rv = []
-    for item in data:
-        if isinstance(item, unicode):
-            item = item.encode('utf-8')
-        elif isinstance(item, list):
-            item = _decode_list(item)
-        elif isinstance(item, dict):
-            item = _decode_dict(item)
-        rv.append(item)
-    return rv
-
-def _decode_dict(data):
-    rv = {}
-    for key, value in data.iteritems():
-        if isinstance(key, unicode):
-            key = key.encode('utf-8')
-        if isinstance(value, unicode):
-            value = value.encode('utf-8')
-        elif isinstance(value, list):
-            value = _decode_list(value)
-        elif isinstance(value, dict):
-            value = _decode_dict(value)
-        rv[key] = value
-    return rv
-
-
-def load_style(directory = '.', name='kf_book/custom.css'):
-        version = [int(version_no) for version_no in matplotlib.__version__.split('.')]
-
-        try:
-            if sys.version_info[0] >= 3:
-                style = json.load(open(os.path.join(directory, "kf_book/538.json")))
-            else:
-                style = json.load(open(directory + "/kf_book/538.json"), object_hook=_decode_dict)
-            plt.rcParams.update(style)
-        except:
-            pass
-        set_figsize()
-        reset_axis ()
-        np.set_printoptions(suppress=True, precision=3, 
-		                    threshold=10000., linewidth=70,
-                            formatter={'float':lambda x:' {:.3}'.format(x)})
-        styles = open(os.path.join(directory, name), 'r').read()
-        set_figsize()
-        # I don't know why I have to do this, but I have to call
-        # with suppress a second time or the notebook doesn't suppress
-        # exponents
-        np.set_printoptions(suppress=True)
-        return HTML(styles)
+# -*- coding: utf-8 -*-
+
+"""Copyright 2015 Roger R Labbe Jr.
+
+
+Code supporting the book
+
+Kalman and Bayesian Filters in Python
+https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python
+
+
+This is licensed under an MIT license. See the LICENSE.txt file
+for more information.
+"""
+
+from __future__ import (absolute_import, division, print_function,
+                        unicode_literals)
+
+from contextlib import contextmanager
+from IPython.core.display import HTML
+import json
+import matplotlib
+import matplotlib.pylab as pylab
+import matplotlib.pyplot as plt
+import numpy as np
+import os.path
+import sys
+import warnings
+from kf_book.book_plots import set_figsize, reset_axis
+
+# version 1.4.3 of matplotlib has a bug that makes
+# it issue a spurious warning on every plot that
+# clutters the notebook output
+if matplotlib.__version__ == '1.4.3':
+    warnings.simplefilter(action="ignore", category=FutureWarning)
+
+try:
+    matplotlib.style.use('default')
+except:
+    pass
+
+def test_filterpy_version():
+
+    import filterpy
+    from distutils.version import LooseVersion
+
+    v = filterpy.__version__
+    min_version = "1.3.2"
+    if LooseVersion(v) < LooseVersion(min_version):
+       raise Exception("Minimum FilterPy version supported is {}.\n"
+                       "Please install a more recent version.\n"
+                       "   ex: pip install filterpy --upgrade".format(
+             min_version))
+
+
+# ensure that we have the correct filterpy loaded. This is
+# called when this module is imported at the top of each book
+# chapter so the reader can see that they need to update FilterPy.
+test_filterpy_version()
+
+pylab.rcParams['figure.max_open_warning'] = 50
+pylab.rcParams['figure.figsize'] = 8, 3
+
+
+
+@contextmanager
+def numpy_precision(precision):
+	old = np.get_printoptions()['precision']
+	np.set_printoptions(precision=precision)
+	yield
+	np.set_printoptions(old)
+
+@contextmanager
+def printoptions(*args, **kwargs):
+    original = np.get_printoptions()
+    np.set_printoptions(*args, **kwargs)
+    yield
+    np.set_printoptions(**original)
+
+def _decode_list(data):
+    rv = []
+    for item in data:
+        if isinstance(item, unicode):
+            item = item.encode('utf-8')
+        elif isinstance(item, list):
+            item = _decode_list(item)
+        elif isinstance(item, dict):
+            item = _decode_dict(item)
+        rv.append(item)
+    return rv
+
+def _decode_dict(data):
+    rv = {}
+    for key, value in data.iteritems():
+        if isinstance(key, unicode):
+            key = key.encode('utf-8')
+        if isinstance(value, unicode):
+            value = value.encode('utf-8')
+        elif isinstance(value, list):
+            value = _decode_list(value)
+        elif isinstance(value, dict):
+            value = _decode_dict(value)
+        rv[key] = value
+    return rv
+
+
+def load_style(directory = '.', name='kf_book/custom.css'):
+        version = [int(version_no) for version_no in matplotlib.__version__.split('.')]
+
+        try:
+            if sys.version_info[0] >= 3:
+                style = json.load(open(os.path.join(directory, "kf_book/538.json")))
+            else:
+                style = json.load(open(directory + "/kf_book/538.json"), object_hook=_decode_dict)
+            plt.rcParams.update(style)
+        except:
+            pass
+        set_figsize()
+        reset_axis ()
+        np.set_printoptions(suppress=True, precision=3, 
+		                    threshold=10000., linewidth=70,
+                            formatter={'float':lambda x:' {:.3}'.format(x)})
+        styles = open(os.path.join(directory, name), 'r').read()
+        set_figsize()
+        # I don't know why I have to do this, but I have to call
+        # with suppress a second time or the notebook doesn't suppress
+        # exponents
+        np.set_printoptions(suppress=True)
+        return HTML(styles)

kf_book/book_plots.py

@@ -19,13 +19,14 @@ from __future__ import (absolute_import, division, print_function,
 
 
 from contextlib import contextmanager
+import sys
+import time
+import ipywidgets
 import matplotlib as mpl
 import matplotlib.pylab as pylab
 import matplotlib.pyplot as plt
 from matplotlib.patches import Circle
 import numpy as np
-import sys
-import time
 
 try:
     import seabornee
@@ -363,6 +364,22 @@ def plot_kf_output(xs, filter_xs, zs, title=None, aspect_equal=True):
     plt.xlim((-1, len(xs)))
     plt.show()
 
+    
+def FloatSlider(value, **kwargs):
+    """ 
+    Creates an ipwidgets FloatSlider with continuous update
+    turned off
+    """
+    return ipywidgets.FloatSlider(value, continuous_update=False, **kwargs)
+
+
+def IntSlider(value, **kwargs):
+    """ 
+    Creates an ipwidgets IntSlider with continuous update
+    turned off
+    """
+    return ipywidgets.IntSlider(value, continuous_update=False, **kwargs)
+
 
 def plot_measurements(xs, ys=None, dt=None, color='k', lw=1, label='Measurements',
                       lines=False, **kwargs):
@@ -373,7 +390,7 @@ def plot_measurements(xs, ys=None, dt=None, color='k', lw=1, label='Measurements
         ys = xs
         xs = np.arange(0, len(ys)*dt, dt)
 
-    plt.autoscale(tight=True)
+    plt.autoscale(tight=False)
     if lines:
         if ys is not None:
             return plt.plot(xs, ys, color=color, lw=lw, ls='--', label=label, **kwargs)