def __init__(self, datasource, series_options, chart_options=None):
self.user_input = locals()
if not isinstance(datasource, PivotDataPool):
raise APIInputError("%s must be an instance of PivotDataPool." % datasource)
self.datasource = datasource
self.series_options = clean_pcso(series_options, self.datasource)
self.set_default_hcoptions()
self.hcoptions.update(chart_options)
# Now generate the plot
self.generate_plot()
def __init__(self, datasource, series_options, chart_options=None):
self.user_input = locals()
if not isinstance(datasource, PivotDataPool):
raise APIInputError("%s must be an instance of PivotDataPool." %
datasource)
self.datasource = datasource
self.series_options = clean_pcso(series_options, self.datasource)
self.set_default_hcoptions()
self.hcoptions.update(chart_options)
# Now generate the plot
self.generate_plot()
def __init__(self, datasource, series_options, chart_options=None):
"""Creates the PivotChart object.
**Arguments**:
- **datasource** (**required**) - a ``PivotDataPool`` object that
holds the terms and other information to plot the chart from.
- **series_options** (**required**) - specifies the options to plot
the terms on the chart. It is of the form ::
[{'options': {
#any items from HighChart series. For ex.
'type': 'column'
},
'terms': [
'a_valid_term',
'other_valid_term': {
#any options to override. For ex.
'type': 'area',
...
},
...
]
},
... #repeat dicts with 'options' & 'terms'
]
Where -
- **options** (**required**) - a ``dict``. Any of the parameters
from the `Highcharts options object - series array
<http://www.highcharts.com/ref/#series>`_ are valid as entries in
the ``options`` dict except ``data`` (because data array is
generated from your datasource by chartit). For example, ``type``,
``xAxis``, etc. are all valid entries here.
.. note:: The items supplied in the options dict are not validated
to make sure that Highcharts actually supports them. Any
invalid options are just passed to Highcharts JS which silently
ignores them.
- **terms** (**required**) - a ``list``. Only terms that are present
in the corresponding datasource are valid.
.. note:: All the ``terms`` are plotted on the ``y-axis``. The
**categories of the datasource are plotted on the x-axis. There
is no option to override this.**
Each of the ``terms`` must either be a ``str`` or a ``dict``. If
entries are dicts, the keys need to be valid terms and the values
need to be any options to override the default options. For
example, ::
[{'options': {
'type': 'column',
'yAxis': 0},
'terms': [
'temperature',
{'rainfall': {
'type': 'line',
'yAxis': 1}}]}]
plots a pivot column chart of temperature on yAxis: 0 and a line
pivot chart of rainfall on yAxis: 1. This can alternatively be
expressed as two separate entries: ::
[{'options': {
'type': 'column',
'yAxis': 0},
'terms': [
'temperature']},
{'options': {
'type': 'line',
'yAxis': 1},
'terms': [
'rainfall']}]
- **chart_options** (*optional*) - a ``dict``. Any of the options from
the `Highcharts options object <http://www.highcharts.com/ref/>`_
are valid (except the options in the ``series`` array which are
passed in the ``series_options`` argument. The following
``chart_options`` for example, set the chart title and the axes
titles. ::
{'chart': {
'title': {
'text': 'Weather Chart'}},
'xAxis': {
'title': 'month'},
'yAxis': {
'title': 'temperature'}}
.. note:: The items supplied in the ``chart_options`` dict are not
validated to make sure that Highcharts actually supports them.
Any invalid options are just passed to Highcharts JS which
silently ignores them.
**Raises**:
- ``APIInputError`` if any of the terms are not present in the
corresponding datasource or if the ``series_options`` cannot be
parsed.
"""
self.user_input = locals()
if not isinstance(datasource, PivotDataPool):
raise APIInputError("%s must be an instance of PivotDataPool."
% datasource)
self.datasource = datasource
self.series_options = clean_pcso(series_options, self.datasource)
if chart_options is None:
chart_options = HCOptions({})
self.set_default_hcoptions()
self.hcoptions.update(chart_options)
# Now generate the plot
self.generate_plot()
def __init__(self, datasource, series_options, chart_options=None):
"""Creates the PivotChart object.
**Arguments**:
- **datasource** (**required**) - a ``PivotDataPool`` object that
holds the terms and other information to plot the chart from.
- **series_options** (**required**) - specifies the options to plot
the terms on the chart. It is of the form ::
[{'options': {
#any items from HighChart series. For ex.
'type': 'column'
},
'terms': [
'a_valid_term',
'other_valid_term': {
#any options to override. For ex.
'type': 'area',
...
},
...
]
},
... #repeat dicts with 'options' & 'terms'
]
Where -
- **options** (**required**) - a ``dict``. Any of the parameters
from the `Highcharts options object - series array
<http://www.highcharts.com/ref/#series>`_ are valid as entries in
the ``options`` dict except ``data`` (because data array is
generated from your datasource by chartit). For example, ``type``,
``xAxis``, etc. are all valid entries here.
.. note:: The items supplied in the options dict are not validated
to make sure that Highcharts actually supports them. Any
invalid options are just passed to Highcharts JS which silently
ignores them.
- **terms** (**required**) - a ``list``. Only terms that are present
in the corresponding datasource are valid.
.. note:: All the ``terms`` are plotted on the ``y-axis``. The
**categories of the datasource are plotted on the x-axis. There
is no option to override this.**
Each of the ``terms`` must either be a ``str`` or a ``dict``. If
entries are dicts, the keys need to be valid terms and the values
need to be any options to override the default options. For
example, ::
[{'options': {
'type': 'column',
'yAxis': 0},
'terms': [
'temperature',
{'rainfall': {
'type': 'line',
'yAxis': 1}}]}]
plots a pivot column chart of temperature on yAxis: 0 and a line
pivot chart of rainfall on yAxis: 1. This can alternatively be
expressed as two separate entries: ::
[{'options': {
'type': 'column',
'yAxis': 0},
'terms': [
'temperature']},
{'options': {
'type': 'line',
'yAxis': 1},
'terms': [
'rainfall']}]
- **chart_options** (*optional*) - a ``dict``. Any of the options from
the `Highcharts options object <http://www.highcharts.com/ref/>`_
are valid (except the options in the ``series`` array which are
passed in the ``series_options`` argument. The following
``chart_options`` for example, set the chart title and the axes
titles. ::
{'chart': {
'title': {
'text': 'Weather Chart'}},
'xAxis': {
'title': 'month'},
'yAxis': {
'title': 'temperature'}}
.. note:: The items supplied in the ``chart_options`` dict are not
validated to make sure that Highcharts actually supports them.
Any invalid options are just passed to Highcharts JS which
silently ignores them.
**Raises**:
- ``APIInputError`` if any of the terms are not present in the
corresponding datasource or if the ``series_options`` cannot be
parsed.
"""
self.user_input = locals()
if not isinstance(datasource, PivotDataPool):
raise APIInputError("%s must be an instance of PivotDataPool." %
datasource)
self.datasource = datasource
self.series_options = clean_pcso(series_options, self.datasource)
if chart_options is None:
chart_options = HCOptions({})
self.set_default_hcoptions()
self.hcoptions.update(chart_options)
# Now generate the plot
self.generate_plot()