python packaging nonsense

Author: Peter Baumgartner

MANIFEST.in

@@ -0,0 +1,10 @@
+include *.rst
+include *.py
+include tox.ini
+include Makefile
+include .gitignore
+include .travis.yml
+include appveyor.yml
+include .coveragerc
+include LICENSE
+include *.md

README.rst

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+Excelify
+========
+
+Easily export ``pandas`` objects to Excel spreadsheets with IPython
+magic.
+
+|Build Status| |codecov|
+
+Example
+-------
+
+``%excel``
+~~~~~~~~~~
+
+.. code:: python
+
+    %load_ext excelify
+
+    data = [
+        {'name' : 'Greg', 'age' : 30},
+        {'name' : 'Alice', 'age' : 36}
+        ]
+    df = pd.DataFrame(data)
+
+    %excel df -f spreadsheet.xlsx -s sample_data
+
+Magics
+------
+
+``%excel``
+~~~~~~~~~~
+
+::
+
+    %excel [-f FILEPATH] [-s SHEETNAME] dataframe
+
+    Saves a DataFrame or Series to Excel
+
+    positional arguments:
+      dataframe             DataFrame or Series to Save
+
+    optional arguments:
+      -f FILEPATH, --filepath FILEPATH
+                            Filepath to Excel spreadsheet.Default:
+                            './{object}_{timestamp}.xlsx'
+      -s SHEETNAME, --sheetname SHEETNAME
+                            Sheet name to output data.Default:
+                            {object}_{timestamp}
+
+``%excel_all``
+~~~~~~~~~~~~~~
+
+::
+
+    %excel_all [-f FILEPATH] [-n NOSORT]
+
+    Saves all Series or DataFrame objects in the namespace to Excel.
+    Use at your own peril. Will not allow more than 100 objects.
+
+    optional arguments:
+      -f FILEPATH, --filepath FILEPATH
+                            Filepath to excel spreadsheet.Default:
+                            './all_data_{timestamp}.xlsx'
+      -n NOSORT, --nosort NOSORT
+                            Turns off alphabetical sorting of objects for export
+                            to sheets
+
+Dependencies
+------------
+
+-  IPython
+-  Pandas
+-  XlsxWriter ## Why?
+
+I had several Jupyter notebooks that were outputting crosstabs or
+summary statistics that would eventually end up in a Word doc. Depending
+on the size and complexity of the table, I would either copy/paste or
+export to Excel. Due to the inconsistency, this made managing all these
+tables a pain. I figured a tool like this would make it easier to
+collect everything in a notebook as part of an analysis into one excel
+file, deal with formatting in excel, and review and insert into a doc
+from there.
+
+.. |Build Status| image:: https://travis-ci.org/pmbaumgartner/excelify.svg?branch=master
+   :target: https://travis-ci.org/pmbaumgartner/excelify
+.. |codecov| image:: https://codecov.io/gh/pmbaumgartner/excelify/branch/master/graph/badge.svg
+   :target: https://codecov.io/gh/pmbaumgartner/excelify

excelify/__init__.py

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-import sys
-
-__version__ = '0.2'
-
-if sys.version_info >= (3, 0):
-    from excelify.excelify import *
-else:
-    from excelify import *
-
-__all__ = ['excelify']

setup.py

@@ -2,7 +2,7 @@
 import os
 import excelify
 
-VERSION = excelify.__version__
+VERSION = 0.3
 
 setup(
     name='excelify',
@@ -14,4 +14,5 @@
     url='https://github.com/pbaumgartner/excelify',
     packages=find_packages(exclude=[]),
     install_requires=['ipython', 'pandas', 'XlsxWriter', 'xlrd'],
+    include_package_data=True
 )