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Added IPython Notebook demonstrating nose unit tests.

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Donne Martin 2015-01-26 09:00:11 -05:00
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README.md
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@ -6,9 +6,10 @@ Python data analysis IPython Notebooks (core Python, NumPy, pandas, matplotlib,
IPython Notebooks demonstrating core Python functionality geared towards data analysis. IPython Notebooks demonstrating core Python functionality geared towards data analysis.
* [basics](http://nbviewer.ipython.org/github/donnemartin/pydatanotebooks/blob/master/core/basics.ipynb) * [basics](http://nbviewer.ipython.org/github/donnemartin/pydatanotebooks/blob/master/core/basics.ipynb)
* [datetime](http://nbviewer.ipython.org/github/donnemartin/pydatanotebooks/blob/master/core/datetime.ipynb)
* [data structures](http://nbviewer.ipython.org/github/donnemartin/pydatanotebooks/blob/master/core/structs.ipynb) * [data structures](http://nbviewer.ipython.org/github/donnemartin/pydatanotebooks/blob/master/core/structs.ipynb)
* [data structures utilities](http://nbviewer.ipython.org/github/donnemartin/pydatanotebooks/blob/master/core/structs_utils.ipynb) * [data structures utilities](http://nbviewer.ipython.org/github/donnemartin/pydatanotebooks/blob/master/core/structs_utils.ipynb)
* [datetime](http://nbviewer.ipython.org/github/donnemartin/pydatanotebooks/blob/master/core/datetime.ipynb)
* [unit tests](http://nbviewer.ipython.org/github/donnemartin/pydatanotebooks/blob/master/core/unit_tests.ipynb)
## numpy ## numpy

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core/unit_tests.ipynb Normal file
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@ -0,0 +1,157 @@
{
"metadata": {
"name": "",
"signature": "sha256:bdca080b7a3c3e13406cff167e5e8a56e199b53e7c3b965c6583665afd737e4e"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Nose Unit Tests with IPython Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Install Nose"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```bash\n",
"pip install nose\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Create the Code"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%file type_util.py\n",
"class TypeUtil:\n",
"\n",
" @classmethod\n",
" def is_iterable(cls, obj):\n",
" \"\"\"Determines if obj is iterable.\n",
"\n",
" Useful when writing functions that can accept multiple types of\n",
" input (list, tuple, ndarray, iterator). Pairs well with\n",
" convert_to_list.\n",
" \"\"\"\n",
" try:\n",
" iter(obj)\n",
" return True\n",
" except TypeError:\n",
" return False\n",
"\n",
" @classmethod\n",
" def convert_to_list(cls, obj):\n",
" \"\"\"Converts obj to a list if it is not a list and it is iterable, \n",
" else returns the original obj.\n",
" \"\"\"\n",
" if not isinstance(obj, list) and cls.is_iterable(obj):\n",
" obj = list(obj)\n",
" return obj\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Overwriting type_util.py\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Create the Nose Tests"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%file tests/test_type_util.py\n",
"from nose.tools import assert_equal\n",
"from pydatasnippets.core.type_util import TypeUtil\n",
"\n",
"\n",
"class TestUtil():\n",
"\n",
" def test_is_iterable(self):\n",
" assert_equal(TypeUtil.is_iterable('foo'), True)\n",
" assert_equal(TypeUtil.is_iterable(7), False)\n",
"\n",
" def test_convert_to_list(self):\n",
" assert_equal(isinstance(TypeUtil.convert_to_list('foo'), list), True)\n",
" assert_equal(isinstance(TypeUtil.convert_to_list(7), list), False)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Overwriting tests/test_type_util.py\n"
]
}
],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Run the Nose Tests"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"!nosetests tests/test_type_util.py"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"..\r\n",
"----------------------------------------------------------------------\r\n",
"Ran 2 tests in 0.001s\r\n",
"\r\n",
"OK\r\n"
]
}
],
"prompt_number": 3
}
],
"metadata": {}
}
]
}