Required by 04.13-Geographic-Data-With-Basemap.

This was is annoying because it can't be installed from PyPi using pip. You instead need to list the URL of where it is located on SourceForge.

• https://downloads.sourceforge.net/project/matplotlib/matplotlib-toolkits/basemap-1.0.7/basemap-1.0.7.tar.gz

The requirements.txt file has:

numpy=1.11
pandas=0.18.1
scipy=0.17.1
sklearn=0.17.1
matplotlib=1.5.1
jupyter
notebook
line_profiler
memory_profiler

which will be rejected by pip.

Invalid requirement: 'numpy=1.11'
= is not a valid operator. Did you mean == ?

Need to change = to == in each instance where pinning the version.

Fetching package metadata ......... Solving package specifications: ....

UnsatisfiableError: The following specifications were found to be in conflict:

• numpy ==1.11
• python 3.5* Use "conda info " to see the dependencies for each package.

There's a bug that's been introduced with an interaction between python 3.6, numpy, and the version of scikit-image that's pinned here. This should fix that, and AFAICT skimage actually isn't used in the notebooks, so this upgrade shouldn't be breaking yeah?

https://github.com/jakevdp/PythonDataScienceHandbook/search?utf8=%E2%9C%93&q=skimage&type=

would fix https://github.com/jakevdp/PythonDataScienceHandbook/issues/108

The requirements.txt file has:

pandas==0.18.1

yet 03.02-Data-Indexing-and-Selection fails with:

AttributeErrorTraceback (most recent call last)
<ipython-input-5-8721e0616114> in <module>()
----> 1 list(data.items())

/opt/app-root/lib/python2.7/site-packages/pandas/core/generic.pyc in __getattr__(self, name)
   2666         if (name in self._internal_names_set or name in self._metadata or
   2667                 name in self._accessors):
-> 2668             return object.__getattribute__(self, name)
   2669         else:
   2670             if name in self._info_axis:

AttributeError: 'Series' object has no attribute 'items'

So maybe is meant to be pandas 0.19.1.

Hi,

I am trying to reproduce the code at page 184 of the book (Chapter 3).

!curl -O http://openrecipes.s3.amazonaws.com/recipeitems-latest.json.gz

!gunzip recipeitems-latest.json.gz

the second command to unzip the file gives me the error: 'gunzip' is not recognized as an internal or external command, operable program or batch file.

How can I unzip the file? Thanks,

Marco

I wasn't able to recreate a little part of this notebook's output. It seemed that dividing rainfall by 254 made the numbers too small.

May I propose rerunning it with the change below?

Line 6 in Input 1 (-) inches = rainfall / 254 # 1/10mm -> inches (+) inches = rainfall / 25.4 # 1/10mm -> inches

This makes the numbers on a scale that show up in the plot.

It does mean changing the number reported between cells 23 and 24. It'll also affect the output once rerun of 23, 24, 25, and 29 though I think it doesn't change the meaning of those examples. I'd have done this through a pull request, but notebooks in github are an unfamiliar beast to me for now.

Hi @jakevdp Thank you for publishing these great notebooks.

I would like to translate your notebooks into Japanese (and publish it on GitHub). But I am concerned that the translation is contrary to the ND (NoDerivatives).

I would like your comments on this CC-BY-NC-ND license issue.

hi,jakevdp. I can't download the data using codes below: from pandas_datareader import data goog = data.DataReader('GOOG', start='2004', end='2016', data_source='google')

goog = data.DataReader('GOOG', start='2004', end='2016',data_source='google') Traceback (most recent call last):

File "", line 1, in goog = data.DataReader('GOOG', start='2004', end='2016',data_source='google')

File "D:\Anaconda3\lib\site-packages\pandas_datareader\data.py", line 137, in DataReader session=session).read()

File "D:\Anaconda3\lib\site-packages\pandas_datareader\base.py", line 181, in read params=self._get_params(self.symbols))

File "D:\Anaconda3\lib\site-packages\pandas_datareader\base.py", line 79, in _read_one_data out = self._read_url_as_StringIO(url, params=params)

File "D:\Anaconda3\lib\site-packages\pandas_datareader\base.py", line 90, in _read_url_as_StringIO response = self._get_response(url, params=params)

File "D:\Anaconda3\lib\site-packages\pandas_datareader\base.py", line 126, in _get_response headers=headers)

File "D:\Anaconda3\lib\site-packages\requests\sessions.py", line 531, in get return self.request('GET', url, **kwargs)

File "D:\Anaconda3\lib\site-packages\requests\sessions.py", line 518, in request resp = self.send(prep, **send_kwargs)

File "D:\Anaconda3\lib\site-packages\requests\sessions.py", line 639, in send r = adapter.send(request, **kwargs)

File "D:\Anaconda3\lib\site-packages\requests\adapters.py", line 502, in send raise ConnectionError(e, request=request)

ConnectionError: HTTPConnectionPool(host='www.google.com', port=80): Max retries exceeded with url: /finance/historical?q=GOOG&startdate=Jan+01%2C+2004&enddate=Jan+01%2C+2016&output=csv (Caused by NewConnectionError('<requests.packages.urllib3.connection.HTTPConnection object at 0x0000020DE647BFD0>: Failed to establish a new connection: [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应，连接尝试失败。',))

I would like to port PythonDataScienceHandbook to Ruby programming language (at the first in Japanese for the text). At the moment the Ruby datascience environment is immature and can not be a complete port, but I would like to borrow the dataset and the text outline. Is this attempt contrary to your PythonDataScienceHandbook license terms?

Hey jake. I'm about to steal your max margin example for my lecture. It looks like there are magic numbers that show the margin of the other candidates.

Where do they come from? eyeballing?

Also, I feel like we might put that into the sklearn example gallery?

…rocessing.Imputer estimator which is now removed. The import statement and three instances of Imputer --> SimpleImputer are changed in this commit.

Bumps pillow from 3.4.2 to 9.3.0.

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Hello Team,

I am an IT student specialising in data science career, recently being interested in BPM(Business Process Management). If I am here is to have a help from you on: what are the different ways by which we can apply data science with BPM(Business Process Management)?

In the expectation of a positive response please receive my deepest greetings.

Best regards.

The code is found in the a/m.

Encountering error: cannot unpack non-iterable numpy.float64 object Error in callback <function install_repl_displayhook..post_execute at 0x0000028D8639F9D0> (for post_execute):

It is related to draw_ellipse(model.means_[0], model.covariances_[0], ax[i], alpha=0.2)

When model.covariance passed data to width, height = 2 * np.sqrt(covariance)

I think that the reason is height is blank or no value causing the problem.

What is the fix?

Thank you.

Hi everyone. I have developed an alternative documentation with mkdocs, google colab and github actions. This repository lives at fralfaro/PythonDataScienceHandbook (documentation: link). In each chapter there is a jupyter notebook connected with google colab. This documentation solve pandas output:

• Original Documentation:

• Alternative Documentation:

Another interesting point is that all the documentation is generated in a single branch (master), and it is not necessary to use website branch. With this, the costs of maintaining both branches will be reduced.

I hope this is a good alternative. If you have any questions, happy to answer them!