How to use _normalize_to_series method in autotest

Best Python code snippet using autotest_python Github


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...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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