diff options
Diffstat (limited to 'python/fatcat_web/graphics.py')
| -rw-r--r-- | python/fatcat_web/graphics.py | 26 | 
1 files changed, 25 insertions, 1 deletions
diff --git a/python/fatcat_web/graphics.py b/python/fatcat_web/graphics.py index 96c3531a..7d6e5702 100644 --- a/python/fatcat_web/graphics.py +++ b/python/fatcat_web/graphics.py @@ -61,6 +61,30 @@ def preservation_by_year_histogram(rows: List[Dict]) -> pygal.Graph:      chart.add('Bright', [y['bright'] for y in years])      return chart +def preservation_by_date_histogram(rows: List[Dict]) -> pygal.Graph: +    """ +    Note: this returns a raw pygal chart; it does not render it to SVG/PNG +    """ + +    dates = sorted(rows, key=lambda x: x['date']) + +    CleanStyle.colors = ("red", "darkred", "darkolivegreen", "limegreen") +    label_count = len(dates) +    if len(dates) > 30: +        label_count = 10 +    chart = pygal.StackedBar(dynamic_print_values=True, style=CleanStyle, +        width=1000, height=500, x_labels_major_count=label_count, +        show_minor_x_labels=False, x_label_rotation=20) +    #chart.title = "Preservation by Date" +    chart.x_title = "Date" +    #chart.y_title = "Count" +    chart.x_labels = [str(y['date']) for y in dates] +    chart.add('None', [y['none'] for y in dates]) +    chart.add('Shadow', [y['shadows_only'] for y in dates]) +    chart.add('Dark', [y['dark'] for y in dates]) +    chart.add('Bright', [y['bright'] for y in dates]) +    return chart +  def preservation_by_volume_histogram(rows: List[Dict]) -> pygal.Graph:      """      Note: this returns a raw pygal chart; it does not render it to SVG/PNG @@ -75,7 +99,7 @@ def preservation_by_volume_histogram(rows: List[Dict]) -> pygal.Graph:      chart = pygal.StackedBar(dynamic_print_values=True, style=CleanStyle,          width=1000, height=500, x_labels_major_count=label_count,          show_minor_x_labels=False, x_label_rotation=20) -    #chart.title = "Preservation by Year" +    #chart.title = "Preservation by Volume"      chart.x_title = "Volume"      #chart.y_title = "Count"      chart.x_labels = [str(y['volume']) for y in volumes]  | 
