def create_impala_query_slide(prs,chart_series_title, categories, values):
# change title and properties
slide = prs.slides.add_slide(prs.slide_layouts[12])
title = slide.shapes.title
title.text = chart_series_title
title.text_frame.paragraphs[0].font.name = "calibri"
title.text_frame.paragraphs[0].font.size = Pt(28)
# define chart data ---------------------
chart_data = ChartData()
chart_data.categories = categories
chart_series_title = chart_series_title
chart_data.add_series(chart_series_title, values)
# add chart to slide --------------------
x, y, cx, cy = Inches(2.25), Inches(1.4), Inches(9), Inches(6.0)
chart = slide.shapes.add_chart(XL_CHART_TYPE.COLUMN_CLUSTERED, x, y, cx, cy, chart_data)
chart.chart_style = 10
# sets chart plot to all be the same color (default in PPT is all different colors by category)
plot = chart.chart.plots[0]
plot.vary_by_categories = True
# change axis properties
category_axis = chart.chart.category_axis
value_axis = chart.chart.value_axis
# change axis font properties
category_axis.tick_labels.font.name = "calibri"
category_axis.tick_labels.font.size = Pt(11)
value_axis.tick_labels.font.name = "calibri"
value_axis.tick_labels.font.size = Pt(11)
# change legend properties
chart.chart.has_legend = True
chart.chart.legend.include_in_layout = False
chart.chart.legend.font.name = "calibri"
chart.chart.legend.font.size = Pt(11)
return
def when_I_add_a_chart_with_categories_and_series(context, kind, cats, sers):
chart_type = {
'Area': XL_CHART_TYPE.AREA,
'100% Stacked Area': XL_CHART_TYPE.AREA_STACKED_100,
'Stacked Area': XL_CHART_TYPE.AREA_STACKED,
'Clustered Bar': XL_CHART_TYPE.BAR_CLUSTERED,
'100% Stacked Bar': XL_CHART_TYPE.BAR_STACKED_100,
'Stacked Bar': XL_CHART_TYPE.BAR_STACKED,
'Clustered Column': XL_CHART_TYPE.COLUMN_CLUSTERED,
'100% Stacked Column': XL_CHART_TYPE.COLUMN_STACKED_100,
'Stacked Column': XL_CHART_TYPE.COLUMN_STACKED,
'Line': XL_CHART_TYPE.LINE,
'Pie': XL_CHART_TYPE.PIE,
}[kind]
category_count, series_count = int(cats), int(sers)
category_source = ('Foo', 'Bar', 'Baz', 'Boo', 'Far', 'Faz')
series_value_source = count(1.1, 1.1)
chart_data = ChartData()
chart_data.categories = category_source[:category_count]
for idx in range(series_count):
series_title = 'Series %d' % (idx+1)
series_values = tuple(islice(series_value_source, category_count))
chart_data.add_series(series_title, series_values)
context.chart = context.slide.shapes.add_chart(
chart_type, Inches(1), Inches(1), Inches(8), Inches(5), chart_data
).chart
def when_I_call_placeholder_insert_chart(context):
chart_data = ChartData()
chart_data.categories = ['Yes', 'No']
chart_data.add_series('Series 1', (42, 24))
placeholder = context.shape
context.placeholder = placeholder.insert_chart(
XL_CHART_TYPE.PIE, chart_data
)
def when_I_replace_its_data_with_categories_and_series(context, cats, sers):
category_count, series_count = int(cats), int(sers)
category_source = ("Foo", "Bar", "Baz", "Boo", "Far", "Faz")
series_value_source = count(1.1, 1.1)
chart_data = ChartData()
chart_data.categories = category_source[:category_count]
for idx in range(series_count):
series_title = "New Series %d" % (idx + 1)
series_values = tuple(islice(series_value_source, category_count))
chart_data.add_series(series_title, series_values)
context.chart.replace_data(chart_data)
def add_happiness_chart(slide):
chart_data = ChartData()
chart_data.categories = ['Q1', 'Q2', f'Hiring John', 'Q3', 'Q4']
chart_data.add_series('Happiness', (30.0, 23.0, 17.2, 69.69, 120.00))
x, y, cx, cy = Inches(2), Inches(2), Inches(6), Inches(4.5)
chart = slide.shapes.add_chart(XL_CHART_TYPE.LINE, x, y, cx, cy,
chart_data).chart
chart.has_legend = False
chart.series[0].smooth = True
chart.value_axis.visible = False
chart.category_axis.axis_title.text_frame.paragraphs[0].font.size = Pt(11)
chart.chart_title.text_frame.paragraphs[0].font.size = Pt(11)
chart.value_axis.axis_title.text_frame.paragraphs[0].font.size = Pt(11)
def add_bar_chat(self, categories):
chart_layout = self.presentation.slide_layouts[SLD_LAYOUT_CHART]
slide = self.presentation.slides.add_slide(chart_layout)
self.add_title(slide)
chart_data = ChartData()
chart_data.categories = categories
values = random_values(len(categories))
chart_data.add_series('Serie', values)
x, y, cx, cy = Inches(2), Inches(2), Inches(6), Inches(4.5)
slide.shapes.add_chart(
XL_CHART_TYPE.COLUMN_CLUSTERED, x, y, cx, cy, chart_data)
def make_series_data_seq(cat_count, ser_count):
"""
Return a sequence of |_SeriesData| objects populated with *cat_count*
category names and *ser_count* sequences of point values. Values are
auto-generated.
"""
category_names = ('Foo', 'Bar', 'Baz', 'Boo', 'Far', 'Faz')
point_values = count(1.1, 1.1)
chart_data = ChartData()
chart_data.categories = category_names[:cat_count]
for idx in range(ser_count):
series_title = 'Series %d' % (idx+1)
series_values = tuple(islice(point_values, cat_count))
series_values = [round(x*10)/10.0 for x in series_values]
chart_data.add_series(series_title, series_values)
return chart_data.series
def _build_chart_data(csv, number_format):
chart_data = ChartData()
categories = [_nan_to_none(x) or '' for x in csv.iloc[:,0].values]
log.debug(u" Setting categories with values:%s" % categories)
chart_data.categories = categories
for i in range(1, csv.columns.size):
col = csv.iloc[:, i]
values = [_nan_to_none(x) for x in col.values]
name = _to_unicode(col.name)
log.debug(u" Adding series:%s values:%s" % (name, values))
# 本来、number_formatは既存のchartの設定をそのまま引き継ぎたかったが、
# python-pptx v0.6.17 では、既存のchartのchart_dataを取得するAPIは存在せず、
# 新たにchart_dataを作って、chart.replace_data() する必要がある。
# そのため、number_formatは、modelのoptionから取得する方針とする。
chart_data.add_series(name, values, _normalize_number_format(number_format))
return chart_data
def df_to_chartdata(df,datatype,number_format=None):
'''
根据给定的图表数据类型生成相应的数据
Chartdata:一般的数据
XyChartData: 散点图数据
BubbleChartData:气泡图数据
'''
if isinstance(df,pd.Series):
df=pd.DataFrame(df)
df.fillna(0,inplace=True)
datatype=datatype.lower()
if datatype == 'chartdata':
chart_data = ChartData()
chart_data.categories = ['%s'%(c) for c in list(df.index)]
for col_name in df.columns:
chart_data.add_series('%s'%(col_name),list(df[col_name]),number_format)
return chart_data
if datatype == 'xychartdata':
chart_data=XyChartData()
if not isinstance(df,list):
df=[df]
for d in df:
series_name='%s'%(d.columns[0])+' vs '+'%s'%(d.columns[1])
series_ = chart_data.add_series(series_name)
for i in range(len(d)):
series_.add_data_point(d.iloc[i,0], d.iloc[i,1])
return chart_data
if datatype == 'bubblechartdata':
chart_data=BubbleChartData()
if not isinstance(df,list):
df=[df]
for d in df:
series_name='%s'%(d.columns[0])+' vs '+'%s'%(d.columns[1])
series_ = chart_data.add_series(series_name)
for i in range(len(d)):
series_.add_data_point(d.iloc[i,0],d.iloc[i,1],d.iloc[i,2])
return chart_data
table.cell(1, 3).text = str(val_AI1[2])
table.cell(2, 0).text = name_AIs[1]
table.cell(2, 1).text = str(val_AI2[0])
table.cell(2, 2).text = str(val_AI2[1])
table.cell(2, 3).text = str(val_AI2[2])
table.cell(3, 0).text = name_AIs[2]
table.cell(3, 1).text = str(val_AI3[0])
table.cell(3, 2).text = str(val_AI3[1])
table.cell(3, 3).text = str(val_AI3[2])
# define chart data ---------------------
chart_data = ChartData()
chart_data.categories = name_objects
chart_data.add_series(name_AIs[0], val_AI1)
chart_data.add_series(name_AIs[1], val_AI2)
chart_data.add_series(name_AIs[2], val_AI3)
# add chart to slide --------------------
x, y, cx, cy = Cm(0.7), Cm(3.5), Cm(24), Cm(8)
graphic_frame = slide.shapes.add_chart(
XL_CHART_TYPE.COLUMN_CLUSTERED, x, y, cx, cy, chart_data
)
chart = graphic_frame.chart
chart.has_legend = True
chart.legend.position = XL_LEGEND_POSITION.TOP
chart.legend.include_in_layout = False
from pptx import Presentation
from pptx.chart.data import ChartData
from pptx.enum.chart import XL_CHART_TYPE
from pptx.util import Inches
# create presentation with 1 slide ------
prs = Presentation()
slide = prs.slides.add_slide(prs.slide_layouts[5])
# define chart data ---------------------
chart_data = ChartData()
chart_data.categories = ['East', 'West', 'Midwest']
chart_data.add_series('Series 1', (19.2, 21.4, 16.7))
# add chart to slide --------------------
x, y, cx, cy = Inches(2), Inches(2), Inches(6), Inches(4.5)
slide.shapes.add_chart(
XL_CHART_TYPE.COLUMN_CLUSTERED, x, y, cx, cy, chart_data
)
prs.save('chart-01.pptx')
def create_metric_slide(prs,metric):
#metric info
metric_name = metric['timeSeries'][0]['metadata']['metricName']
category = metric['timeSeries'][0]['metadata']['attributes']['category']
print metric_name
#determine if service, and send to IMPALA_QUERY function if an IMPALA_QUERY slide
if category == 'SERVICE':
service_name = metric['timeSeries'][0]['metadata']['attributes']['serviceDisplayName']
elif category == 'IMPALA_QUERY' and metric_name == 'query_duration':
create_impala_query_slides(prs,metric)
return
elif category == 'IMPALA_QUERY' and metric_name == 'hdfs_average_scan_range':
return
else:
service_name = 'Cluster'
#metric_name = metric['timeSeries'][0]['metadata']['metricName']
formatted_metric_name = ''
#format the metric name and capitalize first letters
metric_name_arr = metric_name.split("_")
for word in metric_name_arr:
formatted_metric_name += word.title() + " "
metric_name = formatted_metric_name
value_access_name = 'max'
unit_type = metric['timeSeries'][0]['metadata']['unitNumerators'][0]
numerator = metric['timeSeries'][0]['metadata']['unitNumerators'][0]
denominators = metric['timeSeries'][0]['metadata']['unitDenominators']
timestamps = deque()
values = deque()
points = ''
if not metric['timeSeries'][0]['data']:
points = metric['timeSeries'][1]['data']
else:
points = metric['timeSeries'][0]['data']
slide = prs.slides.add_slide(prs.slide_layouts[12])
for point in points:
formatted_timestamp = point['timestamp'].split("T")
timestamps.append(formatted_timestamp[0])
#max value doesn't exist for data points in SUM or INTEGRAL statistics, need to use value key
if point['type'] == 'CALCULATED':
values.append(point['value'])
elif unit_type == 'bytes':
#Read and write metrics in MB, otherwise in gigabytes
if 'read' in metric_name.lower() or 'writ' in metric_name.lower():
value_in_mb = float(point['aggregateStatistics'][value_access_name])/(1024*1024)
values.append(value_in_mb)
numerator = 'megabytes'
else:
value_in_gb = float(point['aggregateStatistics'][value_access_name])/(1024*1024*1024)
values.append(value_in_gb)
numerator = 'gigabytes'
else:
values.append(point['aggregateStatistics'][value_access_name])
#determine what our measurement (IE bytes/sec or just queries)
if len(denominators) > 0:
denominator = metric['timeSeries'][0]['metadata']['unitDenominators'][0]
measurement = numerator + '/' + denominator
else:
denominator = 'None'
measurement = numerator
# change title and properties
title = slide.shapes.title
title.text = service_name + " " + metric_name
title.text_frame.paragraphs[0].font.name = "calibri"
title.text_frame.paragraphs[0].font.size = Pt(28)
# define chart data ---------------------
chart_data = ChartData()
chart_data.categories = timestamps
chart_series_title = measurement
chart_data.add_series(chart_series_title, values)
# add chart to slide --------------------
x, y, cx, cy = Inches(2.25), Inches(1.4), Inches(9), Inches(6.0)
chart = slide.shapes.add_chart(XL_CHART_TYPE.LINE, x, y, cx, cy, chart_data)
# sets chart plot to all be the same color (default in PPT is all different colors by category)
plot = chart.chart.plots[0]
plot.vary_by_categories = False
# change axis properties
category_axis = chart.chart.category_axis
value_axis = chart.chart.value_axis
# change axis font properties
category_axis.tick_labels.font.name = "calibri"
category_axis.tick_labels.font.size = Pt(11)
value_axis.tick_labels.font.name = "calibri"
value_axis.tick_labels.font.size = Pt(11)
# change legend properties
chart.chart.has_legend = True
chart.chart.legend.include_in_layout = False
chart.chart.legend.font.name = "calibri"
chart.chart.legend.font.size = Pt(11)
return