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How to use _normalize_to_series method in autotest

Best Python code snippet using autotest_python

graphing_utils.py

Source:graphing_utils.py

...397    for index, plot in enumerate(plots):398        if plot['label'] == label:399            return index400    raise ValueError('no plot labeled "%s" found' % label)401def _normalize_to_series(plots, base_series):402    base_series_index = _find_plot_by_label(plots, base_series)403    base_plot = plots[base_series_index]404    base_xs = base_plot['x']405    base_values = base_plot['y']406    base_errors = base_plot['errors']407    del plots[base_series_index]408    for plot in plots:409        old_xs, old_values, old_errors = plot['x'], plot['y'], plot['errors']410        new_xs, new_values, new_errors = [], [], []411        new_base_values, new_base_errors = [], []412        # Select only points in the to-be-normalized data that have a413        # corresponding baseline value414        for index, x_value in enumerate(old_xs):415            try:416                base_index = base_xs.index(x_value)417            except ValueError:418                continue419            new_xs.append(x_value)420            new_values.append(old_values[index])421            new_base_values.append(base_values[base_index])422            if old_errors:423                new_errors.append(old_errors[index])424                new_base_errors.append(base_errors[base_index])425        if not new_xs:426            raise NoDataError('No normalizable data for series ' +427                              plot['label'])428        plot['x'] = new_xs429        plot['y'] = new_values430        if old_errors:431            plot['errors'] = new_errors432        plot['y'], plot['errors'] = _normalize(plot['y'], plot['errors'],433                                               new_base_values,434                                               new_base_errors)435def _create_metrics_plot_helper(plot_info, extra_text=None):436    """437    Create a metrics plot of the given plot data.438    plot_info: a MetricsPlot object.439    extra_text: text to show at the uppper-left of the graph440    TODO(showard): move some/all of this logic into methods on MetricsPlot441    """442    query = plot_info.query_dict['__main__']443    cursor = readonly_connection.cursor()444    cursor.execute(query)445    if not cursor.rowcount:446        raise NoDataError('query did not return any data')447    rows = cursor.fetchall()448    # "transpose" rows, so columns[0] is all the values from the first column,449    # etc.450    columns = zip(*rows)451    plots = []452    labels = [str(label) for label in columns[0]]453    needs_resort = (cursor.description[0][0] == 'kernel')454    # Collect all the data for the plot455    col = 1456    while col < len(cursor.description):457        y = columns[col]458        label = cursor.description[col][0]459        col += 1460        if (col < len(cursor.description) and461            'errors-' + label == cursor.description[col][0]):462            errors = columns[col]463            col += 1464        else:465            errors = None466        if needs_resort:467            y = _resort(labels, y)468            if errors:469                errors = _resort(labels, errors)470        x = [index for index, value in enumerate(y) if value is not None]471        if not x:472            raise NoDataError('No data for series ' + label)473        y = [y[i] for i in x]474        if errors:475            errors = [errors[i] for i in x]476        plots.append({477            'label': label,478            'x': x,479            'y': y,480            'errors': errors481        })482    if needs_resort:483        labels = _resort(labels, labels)484    # Normalize the data if necessary485    normalize_to = plot_info.normalize_to486    if normalize_to == 'first' or normalize_to.startswith('x__'):487        if normalize_to != 'first':488            baseline = normalize_to[3:]489            try:490                baseline_index = labels.index(baseline)491            except ValueError:492                raise ValidationError({493                    'Normalize' : 'Invalid baseline %s' % baseline494                    })495        for plot in plots:496            if normalize_to == 'first':497                plot_index = 0498            else:499                try:500                    plot_index = plot['x'].index(baseline_index)501                # if the value is not found, then we cannot normalize502                except ValueError:503                    raise ValidationError({504                        'Normalize' : ('%s does not have a value for %s'505                                       % (plot['label'], normalize_to[3:]))506                        })507            base_values = [plot['y'][plot_index]] * len(plot['y'])508            if plot['errors']:509                base_errors = [plot['errors'][plot_index]] * len(plot['errors'])510            plot['y'], plot['errors'] = _normalize(plot['y'], plot['errors'],511                                                   base_values,512                                                   None or base_errors)513    elif normalize_to.startswith('series__'):514        base_series = normalize_to[8:]515        _normalize_to_series(plots, base_series)516    # Call the appropriate function to draw the line or bar plot517    if plot_info.is_line:518        figure, area_data = _create_line(plots, labels, plot_info)519    else:520        figure, area_data = _create_bar(plots, labels, plot_info)521    # TODO(showard): extract these magic numbers to named constants522    if extra_text:523        text_y = .95 - .0075 * len(plots)524        figure.text(.1, text_y, extra_text, size='xx-small')525    return (figure, area_data)526def create_metrics_plot(query_dict, plot_type, inverted_series, normalize_to,527                        drilldown_callback, extra_text=None):528    plot_info = MetricsPlot(query_dict, plot_type, inverted_series,529                            normalize_to, drilldown_callback)...

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