when i start notebook, there's a error in my console as follow

Traceback (most recent call last):
  File "/Library/Python/2.7/site-packages/notebook/base/handlers.py", line 437, in wrapper
    result = yield gen.maybe_future(method(self, *args, **kwargs))
  File "/Library/Python/2.7/site-packages/notebook/services/sessions/handlers.py", line 56, in post
    model = sm.create_session(path=path, kernel_name=kernel_name)
  File "/Library/Python/2.7/site-packages/notebook/services/sessions/sessionmanager.py", line 66, in create_session
    kernel_name=kernel_name)
  File "/Library/Python/2.7/site-packages/notebook/services/kernels/kernelmanager.py", line 84, in start_kernel
    **kwargs)
  File "/Library/Python/2.7/site-packages/jupyter_client/multikernelmanager.py", line 109, in start_kernel
    km.start_kernel(**kwargs)
  File "/Library/Python/2.7/site-packages/jupyter_client/manager.py", line 244, in start_kernel
    **kw)
  File "/Library/Python/2.7/site-packages/jupyter_client/manager.py", line 190, in _launch_kernel
    return launch_kernel(kernel_cmd, **kw)
  File "/Library/Python/2.7/site-packages/jupyter_client/launcher.py", line 124, in launch_kernel
    proc = Popen(cmd, **kwargs)
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/subprocess.py", line 710, in __init__
    errread, errwrite)
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/subprocess.py", line 1335, in _execute_child
    raise child_exception
OSError: [Errno 2] No such file or directory

how can I fix it ?

my mac's info:

Run pd.rolling_mean(df['Berri1'], n).dropna().plot(); and you get

/usr/local/lib/python2.7/dist-packages/ipykernel/__main__.py:6: FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in a future version, replace with 
    Series.rolling(window=15,center=False).mean()

How can you do the replacement with Series.rolling(...).mean()?

Chapter 1 Recipe 2 (pandas demonstration) contains a link to a CSV dataset that seems not to be available online:
http://donnees.ville.montreal.qc.ca/storage/f/2014-01-20T20%3A48%3A50.296Z/2013.csv

Maybe host the data on GitHub instead and use a link to the raw file content?

It is a page about the computer game Dweep.

As reported by one user:

Page: 19 & 20

In the example that begins:

"10. Now, we illustrate the latest interactive features in IPython 2.0+,
namely JavaScript widgets."

I had to change the world 'values' to 'options' in

dw = DropdownWidget(values=OrderedDict([

and

dw.value = dw.values['SciPy 2013'].

Using IPython 3.1.0, Python 2.7.9.

AttributeError Traceback (most recent call last)
in ()
----> 1 c.show()
2 app.run();

f:\anaconda3\vispy-master\vispy\app\canvas.py in show(self, visible, run)
427 Run the backend event loop.
428 """
--> 429 self._backend._vispy_set_visible(visible)
430 if run:
431 self.app.run()

f:\anaconda3\vispy-master\vispy\app\backends_ipynb_webgl.py in _vispy_set_visible(self, visible)
206 return
207 if self._widget is None:
--> 208 self._widget = VispyWidget()
209 self._widget.set_canvas(self._vispy_canvas)
210 display(self._widget)

f:\anaconda3\vispy-master\vispy\app\backends\ipython_widget.py in init(self, **kwargs)
60 def init(self, **kwargs):
61 super(VispyWidget, self).init(**kwargs)
---> 62 self.on_msg(self.events_received)
63 self.canvas = None
64 self.canvas_backend = None

AttributeError: 'VispyWidget' object has no attribute 'on_msg'

seaborn.corrplot(df);

should now be

seaborn.heatmap(df);

as per
https://stanford.edu/~mwaskom/software/seaborn/whatsnew.html?highlight=corrplot

error on running the first cell:
ShimWarning: The IPython.html package has been deprecated. You should import from notebook instead. IPython.html.widgets has moved to ipywidgets.
"IPython.html.widgets has moved to ipywidgets.", ShimWarning)
/home/dgd/.local/lib/python3.5/site-packages/IPython/utils/traitlets.py:5: UserWarning: IPython.utils.traitlets has moved to a top-level traitlets package.
warn("IPython.utils.traitlets has moved to a top-level traitlets package.")

See here

Issue raised by @mpelko.

I've just installed bokeh 0.8.2 (the version pip finds). The 'line' and 'scatter' functions are now methods of a figure object, so in notebook chapter06/03_bokeh I had to change the first example to:

p = bkh.figure(title="random data", x_axis_label='x', y_axis_label='y')
p.line(x, y, line_width=5)
bkh.show(p)

and the second to:

p = bkh.figure(title="flower petal shapes by color", x_axis_label='petal_length', y_axis_label='petal_width')
p.scatter(flowers["petal_length"],
flowers["petal_width"],
color=flowers["color"],
fill_alpha=0.25, size=10,)
bkh.show(p)

Greetings Cyrille,

I was able to replicate recipe 6.4: 'Visualizing a NetworkX graph in the IPython notebook with DJ.js' successfully except for getting the node labels to display. The recipe claims one can click on the nodes to see their labels. Any advice for how to get this to work? The help would be appreciated.

http://nbviewer.ipython.org/github/ipython-books/cookbook-code/blob/master/notebooks/chapter06_viz/04_d3.ipynb

A few issues:
Step 2: make sure to actually use "g = nx.read_shp("data/tl_2013_06_prisecroads.shp", simplify =False)". Without setting simplify to False, grid-like road structures become completely broken graphs. This is extremely important when using open street map data for example.

Step 3: to get the maximally connected subgraph, use the command 'max(nx.connected_component_subgraphs(g.to_undirected()), key=len)'

Step 7: Since the "JSON" coordinates are in the form (lon,lat), you are actually passing the wrong set to the geocalc function. Change to 'return np.sum(geocalc(path[1:,1],path[1:,0],path[:-1,1],path[:-1,0]))'. Surprisingly, the path it finds is nearly the same, and the distance is only a bit different.

the memory mapping exemple will only work if the file already exists.
to make it work regardless of that, it should have the mode parameter filled:

f = np.memmap('memmapped.dat', dtype=np.float32, mode='w+', shape=(nrows, ncols))

https://github.com/ipython-books/cookbook-code/blob/master/notebooks/chapter04_optimization/09_memmap.ipynb#L61

FWIW, if users have problems with ipywidgets there appears to be a bigger issue with ipywidgets not working in latest v.
jupyter-widgets/ipywidgets#669 (comment)

I did manage to get ipywidgets to run using:
~/.local/bin/jupyter nbextension enable --py widgetsnbextension
and then
~/.local/bin/jupyter notebook

I hope the above helps someone.

prettyplotlib is covered in recipe 6.1. However, Olga Botvinnik (@olgabot) is no longer actively developing this library.

If you are interested in similar features for improving matplotlib's styling, you can:

• Use matplotlib stylesheets, new in matplotlib 1.4
• Use seaborn, actively maintained by Michael Waskom (@mwaskom)

TODO:

• Recipe 5.12 (David Sanders)
• ...

Also:

• Add a Credits section in README
  • Julia Evans
  • Jason Grout
  • David Sanders
  • ....

In the 6th python cell:

program['a_position'] = np.c_[
        np.linspace(-1.0, +1.0, 1000),
        np.random.uniform(-0.5, +0.5, 1000)]

results in:

TypeError: data must be 32-bit not float64

I may mess with this later, but I know next to nothing about vispy so I'm not sure how well I can troubleshoot the issue.

walked through the demo but got a fail mid way through

!nosetests

/bin/sh: 1: nosetests: not found

The notebook should have a sanity check to see if nose is installed at all... I've created a sample and attached same.
updaedwithnoseinsallcheck07_unittests.ipynb.zip

May need to tweak a few examples with custom widgets in the notebook to make them work with IPython 2.x (see this issue in IPython).

Every recipe ends with a footer:

You'll find all the explanations, figures, references, and much more in the book (to be released later this summer).

Since the book has been already published, I suggest changing it to a link to the book description/publication info.

see also ipython/ipython#7869

This issue is to track progress of the upgrade and discuss problems along the way, if any.

Thanks for writing the cookbook and sharing it online. This is certain to become a great resource for our users.

In cookbook 01_numpy_performance, it is recommended to use x.__array_interface__['data'][0] to determine if an array is sharing data with another array. This is only useful if the offset of the arrays are the same, not if one array is a subarray/slice/view of another.

For example, here, two arrays are sharing the same data but they have different starting pointers.

In [1]: import numpy as np

In [2]: x = np.arange(10)

In [3]: y = x[1::2]

In [4]: x.__array_interface__['data'][0]
Out[4]: 46090608

In [5]: y.__array_interface__['data'][0]                                                                                                                                                                                            
Out[5]: 46090616

You could probably figure out that their data areas are overlapping, but that’s kind of expensive/complex.

The best way I’ve found to find out if two arrays share the same data:

def get_data_base(arr):
    base = arr.base
    while base is not None:
        base = base.base
    return base

>>> get_data_base(x) is get_data_base(y)
True

One of the featured recipes is this nice energy-minimization problem. But I think the final plot is missing some really interesting features. In particular, the function that plots the spring bar contains the line

color=plt.cm.copper(c*150))

This means that negative values (corresponding to compression of the spring, rather than extension) don't get any special coloring -- they get chopped. If you allow for negative values, you can see those compressed springs:

You can see that the lower springs near the wall are very compressed, and the diagonal ones get some compression as well. I think that's too interesting to ignore! :)

The simplest way to deal with this would just be

color=plt.cm.copper(abs(c*150)))

But that wouldn't show you which springs are compressed and which are extended. To get the plot above, I defined a new color function

def spring_color_map(c):
    min_c, max_c = -0.00635369422326, 0.00836362559722
    ratio = (max_c-c) / (max_c-min_c)
    color = plt.cm.coolwarm(ratio)
    shading = np.sqrt(abs(ratio-0.5)*2)
    return (shading*color[0], shading*color[1], shading*color[2], color[3])

and then in the plotting function, I did

color=spring_color_map(c)

• Update widget instructions
• Check other potential IPython changes
• Test with the latest versions of the other dependencies

Posted by Anand Muglikar.

I used the ipython notebook shown below which uses your code as a base:

http://nbviewer.ipython.org/github/ipython-books/cookbook-code/blob/master/notebooks/chapter03_notebook/07_webcam_py3.ipynb

On running the code, webcam opens but no video is seen on Iceweasel browser (firefox based). On Chrome, webcam just starts and immediately shuts. I'm a newbie in Python and do not know javascript. Please guide.

Thanks in advance! :)