qiskit/visualization/interactive/iplot_paulivec.py
def iplot_state_paulivec(rho, figsize=None, slider=False, show_legend=False):
    """ Create a paulivec representation.

        Graphical representation of the input array.

        Args:
            rho (array): State vector or density matrix.
            figsize (tuple): Figure size in pixels.
            slider (bool): activate slider
            show_legend (bool): show legend of graph content
    """

    # HTML
    html_template = Template("""
    <p>
        <div id="paulivec_$divNumber"></div>
    </p>
    """)

    # JavaScript
    javascript_template = Template("""
    <script>
        requirejs.config({
            paths: {
                qVisualization: "https://qvisualization.mybluemix.net/q-visualizations"
            }
        });

        require(["qVisualization"], function(qVisualizations) {
            qVisualizations.plotState("paulivec_$divNumber",
                                      "paulivec",
                                      $executions,
                                      $options);
        });
    </script>
    """)
    rho = _validate_input_state(rho)
    # set default figure size if none given
    if figsize is None:
        figsize = (7, 5)

    options = {'width': figsize[0], 'height': figsize[1],
               'slider': int(slider), 'show_legend': int(show_legend)}

    # Process data and execute
    div_number = str(time.time())
    div_number = re.sub('[.]', '', div_number)

    data_to_plot = []
    rho_data = process_data(rho)
    data_to_plot.append(dict(
        data=rho_data
    ))

    html = html_template.substitute({
        'divNumber': div_number
    })

    javascript = javascript_template.substitute({
        'divNumber': div_number,
        'executions': data_to_plot,
        'options': options
    })

    display(HTML(html + javascript))
def iplot_state_paulivec(rho, figsize=None, slider=False, show_legend=False):
    """ Create a paulivec representation.

        Graphical representation of the input array.

        Args:
            rho (array): State vector or density matrix.
            figsize (tuple): Figure size in pixels.
            slider (bool): activate slider
            show_legend (bool): show legend of graph content
    """

    # HTML
    html_template = Template("""
    <p>
        <div id="paulivec_$divNumber"></div>
    </p>
    """)

    # JavaScript
    javascript_template = Template("""
    <script>
        requirejs.config({
            paths: {
                qVisualization: "https://qvisualization.mybluemix.net/q-visualizations"
            }
        });

        require(["qVisualization"], function(qVisualizations) {
            qVisualizations.plotState("paulivec_$divNumber",
                                      "paulivec",
                                      $executions,
                                      $options);
        });
    </script>
    """)
    rho = _validate_input_state(rho)
    # set default figure size if none given
    if figsize is None:
        figsize = (7, 5)

    options = {'width': figsize[0], 'height': figsize[1],
               'slider': int(slider), 'show_legend': int(show_legend)}

    # Process data and execute
    div_number = str(time.time())
    div_number = re.sub('[.]', '', div_number)

    data_to_plot = []
    rho_data = process_data(rho)
    data_to_plot.append(dict(
        data=rho_data
    ))

    html = html_template.substitute({
        'divNumber': div_number
    })

    javascript = javascript_template.substitute({
        'divNumber': div_number,
        'executions': data_to_plot,
        'options': options
    })

    display(HTML(html + javascript))
Create a paulivec representation.

        Graphical representation of the input array.

        Args:
            rho (array): State vector or density matrix.
            figsize (tuple): Figure size in pixels.
            slider (bool): activate slider
            show_legend (bool): show legend of graph content