Cleaning, adding .pypirc

Author: saroele

.gitattributes

@@ -1 +1 @@
-*.ipynb filter=ipynb_stripout
+#*.ipynb filter=ipynb_stripout

.pypirc

@@ -0,0 +1,12 @@
+[distutils]
+index-servers =
+  pypi
+  pypitest
+
+[pypi]
+repository=https://pypi.python.org/pypi
+username=saroele
+
+[pypitest]
+repository=https://testpypi.python.org/pypi
+username=saroele

notebooks/Demo/Demo_Config.ipynb

@@ -2,19 +2,15 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "source": [
     "Ensure that the path to `opengrid` is in your PYTHONPATH.  If you installed opengrid with `pip install opengrid`, this is done automatically. "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from opengrid import config"
@@ -23,9 +19,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "c = config.Config()\n",
@@ -38,9 +32,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "c.get('opengrid_server', 'host')"
@@ -49,9 +41,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "c.get('data', 'folder')"
@@ -60,9 +50,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": []
   }

notebooks/Demo/Demo_Units_and_Conversions.ipynb

@@ -12,9 +12,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -62,9 +60,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "hp = houseprint.Houseprint()\n",
@@ -84,9 +80,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "df = hp.get_data(sensors=sensors, head=head, tail=tail)\n",
@@ -96,9 +90,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "df = hp.get_data(sensors=sensors, head=head, tail=tail, resample='day', unit='kW')\n",
@@ -116,9 +108,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "for col in df:\n",
@@ -135,9 +125,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "misc.unit_conversion_factor(source='liter/min', target='m**3/hour')"