Sign Up
Log In
Log In
or
Sign Up
Places
All Projects
Status Monitor
Collapse sidebar
home:cschneemann
python-django-chartit
python-django_chartit.spec
Overview
Repositories
Revisions
Requests
Users
Attributes
Meta
File python-django_chartit.spec of Package python-django-chartit
# # spec file for package python-django_chartit # # Copyright (c) 2016 SUSE LINUX GmbH, Nuernberg, Germany. # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # Please submit bugfixes or comments via http://bugs.opensuse.org/ Name: python-django_chartit Version: 0.2.7 Release: 0 License: as is Summary: A Django app to plot charts and pivot charts directly from the models. Uses HighCharts and jQuery JavaScript libraries to render the charts on the webpage Url: https://github.com/chartit/django-chartit Group: Development/Languages/Python Source: https://pypi.python.org/packages/6b/c0/72f426b59eb02e2fbf8454d2422ffe6c5033c9f1099d4fbe8bb3e7913dd5/django_chartit-%{version}.tar.gz BuildRequires: python-devel BuildRequires: python-setuptools BuildRoot: %{_tmppath}/%{name}-%{version}-build BuildArch: noarch %description ################ Django-Chartit ################ .. image:: https://readthedocs.org/projects/django-chartit/badge/?version=latest :target: http://django-chartit.readthedocs.org/en/latest/?badge=latest :alt: Documentation Status .. image:: https://travis-ci.org/chartit/django-chartit.svg?branch=master :target: https://travis-ci.org/chartit/django-chartit .. image:: https://landscape.io/github/chartit/django-chartit/master/landscape.svg?style=flat :target: https://landscape.io/github/chartit/django-chartit/master :alt: Code Health .. image:: https://coveralls.io/repos/github/chartit/django-chartit/badge.svg?branch=master :target: https://coveralls.io/github/chartit/django-chartit?branch=master Django Chartit is a Django app that can be used to easily create charts from the data in your database. The charts are rendered using ``Highcharts`` and ``jQuery`` JavaScript libraries. Data in your database can be plotted as simple line charts, column charts, area charts, scatter plots, and many more chart types. Data can also be plotted as Pivot Charts where the data is grouped and/or pivoted by specific column(s). ========= Changelog ========= * 0.2.7 (September 14, 2016) * Don't use ``super(self.__class__)`` b/c that breaks chart class inheritance. Fixes `#41 <https://github.com/chartit/django-chartit/issues/41>`_ * 0.2.6 (August 16, 2016) * Merge ``chartit_tests/`` with ``demoproject/`` * Load test DB with real data to use during testing * Add more tests * Update the path to demoproject.settings when building docs. Fixes a problem which caused some API docs to be empty * Fix ValueError: not enough values to unpack (expected 2, got 0) with PivotChart when the QuerySet returns empty data * Dropped requirement on ``simplejson`` * Properly handle unicode data in Pivot charts. Fixes `#5 <https://github.com/chartit/django-chartit/issues/5>`_ * Demo project updated with Chart and PivotChart examples of rendering DateField values on the X axis * Allow charting of ``extra()`` or ``annotate()`` fields. Fixes `#8 <https://github.com/chartit/django-chartit/issues/8>`_ and `#12 <https://github.com/chartit/django-chartit/issues/12>`_ * Refactor ``RecursiveDefaultDict`` to allow chart objects to be serialized to/from cache. Fixes `#10 <https://github.com/chartit/django-chartit/issues/10>`_ * Add information about supported 3rd party JavaScript versions. Fixes `#14 <https://github.com/chartit/django-chartit/issues/14>`_ * 0.2.5 (August 3, 2016) * Workaround Python 3 vs. Python 2 list sort issue which breaks charts with multiple data sources displayed on the same axis! * Make demoproject/ compatible with Django 1.10 * 0.2.4 (August 2, 2016) * Fix for ``get_all_field_names()`` and ``get_field_by_name()`` removal in Django 1.10. Fixes `#39 <https://github.com/chartit/django-chartit/issues/39>`_ * Updated for django.db.sql.query.Query.aggregates removal * 0.2.3 (July 30, 2016) * New to_json() method for charts. Useful for creating Highcharts in AJAX * Merged with *django-chartit2* fork by `Grant McConnaughey <https://github.com/grantmcconnaughey>`_ which adds Python 3 and latest Django 1.8.x and 1.9.x support * Allow dictionary fields in conjunction with lambda fields. Closes #26 * Documentation improvements * Lots of code cleanups and style improvements * 0.2.2 as django-chartit2 (January 28, 2016) * Fixed another issue that prevented installation via PyPI * 0.2.0 as django-chartit2 (January 20, 2016): * Fixed issue that could prevent installation via PyPI * 0.1 (November 5, 2011) * Initial release of django-chartit ======== Features ======== - Plot charts from models. - Plot data from multiple models on the same axis on a chart. - Plot pivot charts from models. Data can be pivoted by across multiple columns. - Legend pivot charts by multiple columns. - Combine data from multiple models to plot on same pivot charts. - Plot a pareto chart, paretoed by a specific column. - Plot only a top few items per category in a pivot chart. - Python 3 compatibility - Django 1.8 and 1.9 compatibility - Documentation to ReadTheDocs - Automated testing via Travis CI - Test coverage tracking via Coveralls ============ Installation ============ You can install Django-Chartit from PyPI. Just do :: $ pip install django_chartit Then, add `chartit` to `INSTALLED_APPS` in "settings.py". You also need supporting JavaScript libraries. See the `Required JavaScript Libraries`_ section for more details. ========== How to Use ========== Plotting a chart or pivot chart on a webpage involves the following steps. 1. Create a ``DataPool`` or ``PivotDataPool`` object that specifies what data you need to retrieve and from where. 2. Create a ``Chart`` or ``PivotChart`` object to plot the data in the ``DataPool`` or ``PivotDataPool`` respectively. 3. Return the ``Chart``/``PivotChart`` object from a django ``view`` function to the django template. 4. Use the ``load_charts`` template tag to load the charts to HTML tags with specific `ids`. It is easier to explain the steps above with examples. So read on. ==================== How to Create Charts ==================== Here is a short example of how to create a line chart. Let's say we have a simple model with 3 fields - one for month and two for temperatures of Boston and Houston. :: class MonthlyWeatherByCity(models.Model): month = models.IntegerField() boston_temp = models.DecimalField(max_digits=5, decimal_places=1) houston_temp = models.DecimalField(max_digits=5, decimal_places=1) And let's say we want to create a simple line chart of month on the x-axis and the temperatures of the two cities on the y-axis. :: from chartit import DataPool, Chart def weather_chart_view(request): #Step 1: Create a DataPool with the data we want to retrieve. weatherdata = \ DataPool( series= [{'options': { 'source': MonthlyWeatherByCity.objects.all()}, 'terms': [ 'month', 'houston_temp', 'boston_temp']} ]) #Step 2: Create the Chart object cht = Chart( datasource = weatherdata, series_options = [{'options':{ 'type': 'line', 'stacking': False}, 'terms':{ 'month': [ 'boston_temp', 'houston_temp'] }}], chart_options = {'title': { 'text': 'Weather Data of Boston and Houston'}, 'xAxis': { 'title': { 'text': 'Month number'}}}) #Step 3: Send the chart object to the template. return render_to_response({'weatherchart': cht}) And you can use the ``load_charts`` filter in the django template to render the chart. :: <head> <!-- code to include the highcharts and jQuery libraries goes here --> <!-- load_charts filter takes a comma-separated list of id's where --> <!-- the charts need to be rendered to --> {% load chartit %} {{ weatherchart|load_charts:"container" }} </head> <body> <div id='container'> Chart will be rendered here </div> </body> =========================== How to Create Pivot Charts =========================== Here is an example of how to create a pivot chart. Let's say we have the following model. :: class DailyWeather(models.Model): month = models.IntegerField() day = models.IntegerField() temperature = models.DecimalField(max_digits=5, decimal_places=1) rainfall = models.DecimalField(max_digits=5, decimal_places=1) city = models.CharField(max_length=50) state = models.CharField(max_length=2) We want to plot a pivot chart of month (along the x-axis) versus the average rainfall (along the y-axis) of the top 3 cities with highest average rainfall in each month. :: from django.db.models import Avg from chartit import PivotDataPool, PivotChart def rainfall_pivot_chart_view(request): # Step 1: Create a PivotDataPool with the data we want to retrieve. rainpivotdata = PivotDataPool( series=[{ 'options': { 'source': DailyWeather.objects.all(), 'categories': ['month'], 'legend_by': 'city', 'top_n_per_cat': 3, }, 'terms': { 'avg_rain': Avg('rainfall'), } }] ) # Step 2: Create the PivotChart object rainpivcht = PivotChart( datasource=rainpivotdata, series_options=[{ 'options': { 'type': 'column', 'stacking': True }, 'terms': ['avg_rain'] }], chart_options={ 'title': { 'text': 'Rain by Month in top 3 cities' }, 'xAxis': { 'title': { 'text': 'Month' } } } ) # Step 3: Send the PivotChart object to the template. return render_to_response({'rainpivchart': rainpivcht}) And you can use the ``load_charts`` filter in the django template to render the chart. :: <head> <!-- code to include the highcharts and jQuery libraries goes here --> <!-- load_charts filter takes a comma-separated list of id's where --> <!-- the charts need to be rendered to --> {% load chartit %} {{ rainpivchart|load_charts:"container" }} </head> <body> <div id='container'> Chart will be rendered here </div> </body> ========================= Rendering multiple charts ========================= It is possible to render multiple charts in the same template. The first argument to ``load_charts`` is the Chart object or a list of Chart objects, and the second is a comma separated list of HTML IDs where the charts will be rendered. When calling Django's ``render`` you have to pass all you charts as a list:: return render(request, 'index.html', { 'chart_list' : [chart_1, chart_2], } ) Then in your template you have to use the proper syntax:: <head> {% load chartit %} {{ chart_list|load_charts:"chart_1,chart_2" }} </head> <body> <div id="chart_1">First chart will be rendered here</div> <div id="chart_2">Second chart will be rendered here</div> </body> ==== Demo ==== The above examples are just a brief taste of what you can do with Django-Chartit. For more examples and to look at the charts in actions, check out the `demo website <http://chartit.shutupandship.com/demo>`_. =============== Documentation =============== Full documentation is available `here <http://django-chartit.readthedocs.org/en/latest/?badge=latest>`_ . ============================= Required JavaScript Libraries ============================= The following JavaScript Libraries are required for using Django-Chartit. - `jQuery <http://jquery.com>`_ - versions 1.6.4 and 1.7 are known to work well with django-chartit. - `Highcharts <http://highcharts.com>`_ - versions 2.1.7 and 2.2.0 are known to work well with django-chartit. .. note:: While ``Django-Chartit`` itself is licensed under the BSD license, ``Highcharts`` is licensed under the `Highcharts license <http://www.highcharts.com/license>`_ and ``jQuery`` is licensed under both MIT License and GNU General Public License (GPL) Version 2. It is your own responsibility to abide by respective licenses when downloading and using the supporting JavaScript libraries. %prep %setup -q -n django_chartit-%{version} %build python setup.py build %install python setup.py install --prefix=%{_prefix} --root=%{buildroot} %files %defattr(-,root,root,-) %doc LICENSE README.rst %{python_sitelib}/* %changelog
Locations
Projects
Search
Status Monitor
Help
OpenBuildService.org
Documentation
API Documentation
Code of Conduct
Contact
Support
@OBShq
Terms
openSUSE Build Service is sponsored by
The Open Build Service is an
openSUSE project
.
Sign Up
Log In
Places
Places
All Projects
Status Monitor