本文整理汇总了Python中openpyxl.chart.BarChart.width方法的典型用法代码示例。如果您正苦于以下问题：Python BarChart.width方法的具体用法？Python BarChart.width怎么用？Python BarChart.width使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类openpyxl.chart.BarChart的用法示例。
在下文中一共展示了BarChart.width方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: pop_excl
# 需要导入模块: from openpyxl.chart import BarChart [as 别名]
# 或者: from openpyxl.chart.BarChart import width [as 别名]
def pop_excl (sv_dict, ClusName):
wb = openpyxl.Workbook ()
sh = wb.active
count1 = 0
count2 = 2
alph = ['a', 'b', 'c', 'd']
f = sh['a1']
f.font = Font (bold=True)
f = sh['b1']
f.font = Font (bold=True)
sh.title = 'HighLevel'
sh['a1'] = 'StorageView'
sh['b1'] = 'Size(G)'
for i in sv_dict:
sh[alph[count1] + str (count2)] = i
count1 += 1
sh[alph[count1] + str (count2)] = float (sv_dict[i][-1][-1])
count2 += 1
count1 = 0
count2 = 2
for i in sv_dict:
sh = wb.create_sheet (i)
sh = wb.get_sheet_by_name (i)
f = sh['a1']
f.font = Font (bold=True)
f = sh['b1']
f.font = Font (bold=True)
f = sh['c1']
f.font = Font (bold=True)
f = sh['d1']
f.font = Font (bold=True)
sh['a1'] = 'LunID'
sh['b1'] = 'Name'
sh['c1'] = 'VPD'
sh['d1'] = 'Size(G/T)'
for j in range (len (sv_dict[i])):
for k in range (4):
sh[alph[count1] + str (count2)] = sv_dict[i][j][k]
count1 += 1
count2 += 1
count1 = 0
count2 = 2
logging.debug('Start of chart')
l = len(sv_dict)
sh = wb.get_sheet_by_name ('HighLevel')
logging.debug('sheets: %s' % (wb.get_sheet_names ()))
logging.debug('sh: %s' % (sh.title))
chart1 = BarChart()
chart1.type = "col"
chart1.style = 11
chart1.title = "VPlex Capacity Report"
chart1.y_axis.title = 'Size'
chart1.x_axis.title = 'View Name'
logging.debug('len of sv_dict: %d' % (l))
data = Reference(sh, min_col=2, min_row=2, max_row=l + 1, max_col=2)
cats = Reference(sh, min_col=1, min_row=2, max_row=l + 1)
chart1.add_data(data, titles_from_data=False)
chart1.set_categories(cats)
chart1.top = 100
chart1.left = 30
chart1.width = 27
chart1.height = 10
chart1.shape = sh.add_chart(chart1, "D2")
wb.save (ClusName)
return 0示例2: ronava_bar_chart
# 需要导入模块: from openpyxl.chart import BarChart [as 别名]
# 或者: from openpyxl.chart.BarChart import width [as 别名]
def ronava_bar_chart(writingSheet, dataSheet, params):
# TODO add dictionary in parameters to avoid overlapping
if params["use"] == "bars":
data = Reference(
dataSheet,
min_col=params["data_min_col"],
min_row=params["data_min_row"],
max_row=params["data_max_row"],
max_col=params["data_max_col"],
)
cats = Reference(
dataSheet,
min_col=params["cats_min_col"],
min_row=params["cats_min_row"],
max_row=params["cats_max_row"],
max_col=params["cats_max_col"],
)
chart = BarChart()
chart.type = params["type"]
chart.style = 12
# chart.grouping = "stacked"
chart.title = params["title"]
chart.y_axis.title = params["y_axis"]
chart.x_axis.title = params["x_axis"]
chart.add_data(data, titles_from_data=True)
chart.set_categories(cats)
chart.height = params["heigth"]
chart.width = params["width"]
writingSheet.add_chart(chart, "D2")
elif params["use"] == "single":
c1 = BarChart()
v1 = Reference(
dataSheet, min_col=params["data_min_col"], min_row=params["data_min_row"], max_col=params["data_max_col"]
)
cats = Reference(
dataSheet, min_col=params["cats_min_col"], min_row=params["cats_min_row"], max_col=params["cats_max_col"]
)
c1.series = [Series(v1, title_from_data=True)]
c1.style = 12
c1.set_categories(cats)
c1.x_axis.title = params["x_axis"]
c1.y_axis.title = params["y_axis"]
c1.height = params["heigth"]
c1.width = params["width"]
c1.title = params["title"]
writingSheet.add_chart(c1, "D4")
else:
c1 = BarChart()
v1 = Reference(
dataSheet, min_col=params["data_min_col"], min_row=params["data_min_row"], max_col=params["data_max_col"]
)
cats = Reference(
dataSheet, min_col=params["cats_min_col"], min_row=params["cats_min_row"], max_col=params["cats_max_col"]
)
c1.series = [Series(v1, title_from_data=True)]
c1.y_axis.majorGridlines = None
c1.set_categories(cats)
c1.x_axis.title = params["x_axis"]
c1.y_axis.title = params["y_axis"]
c1.height = params["heigth"]
c1.width = params["width"]
c1.title = params["title"]
c1.style = 12
# Create a second chart
c2 = LineChart()
v2 = Reference(
dataSheet,
min_col=params["data_min_col"],
min_row=params["data_min_row"] + 1,
max_col=params["data_max_col"],
)
c2.series = [Series(v2, title_from_data=True)]
c2.y_axis.axId = 20
c2.y_axis.title = "Porcentaje Produccion"
# Assign the y-axis of the second chart to the third axis of the first chart
c1.z_axis = c2.y_axis
c1.y_axis.crosses = "max"
c1 += c2
writingSheet.add_chart(c1, "D4")