def plot_data()

in flask/utils.py [0:0]

• 16 lines of code
• 1 McCabe index (conditional complexity)

def plot_data(data, anomalies, title, x_label, y_label):
    """
    Plots statistics
    :param data: The data
    :param title: Title of the graph (string)
    :param x_label: X-axis label (string)
    :param y_label: Y-axis label (string)
    :param width: Width of table (integer)
    :param height: Height of table (integer)
    :return: Bokeh Figure object
    """
    data['alpha1'] = data['mav'] + (2 * data['mstd'])
    data['alpha2'] = data['mav'] - (2 * data['mstd'])
    y_range = [min(data['mav']) - (5 * data['obs'].std()), max(data['mav']) + (5 * data['obs'].std())]
    source = ColumnDataSource(data)
    source2 = ColumnDataSource(anomalies)
    p = figure(title=title, x_axis_label=x_label, y_axis_label=y_label, plot_width=1200, plot_height=600,
               x_axis_type='datetime', y_range=y_range)
    p.circle(x='timestamp', y='obs', source=source, size=5, legend="Observation")
    p.line(x='timestamp', y='mav', source=source, line_width=1, color="purple", legend="Moving Average")
    p.line(x='timestamp', y='alpha1', source=source, line_width=2, color="red", line_dash="dashed",
           legend="95% Confidence Interval")
    p.line(x='timestamp', y='alpha2', source=source, line_width=2, color="red", line_dash="dashed")
    p.circle(x='timestamp', y='obs', source=source2, size=5, color="firebrick", legend="Anomaly")
    p.legend.label_text_font_size = "8pt"
    return p