操纵位置大小和设计图表

图表位置和大小

有时，您希望改变工作表内新建或已存在的图表的位置或大小。Aspose.Cells for Python via .NET 提供了 Chart.chart_object 属性来实现。您可以使用其子属性重新调整图表的高度和宽度，或使用X和Y坐标重新定位。

控制图表的位置和大小

要更改图表的位置（X、Y坐标）或大小（高度，宽度），请使用以下属性：

1. Chart.chart_object.x
2. Chart.chart_object.y
3. Chart.chart_object.height
4. Chart.chart_object.width

以下示例说明了上述 API 的用法，它加载了一个包含图表的现有工作簿，该图表位于第一个工作表中。然后使用 Aspose.Cells for Python via .NET 重新调整图表的大小和位置。

from aspose.cells import Workbook

#  For complete examples and data files, please go to https:# github.com/aspose-cells/Aspose.Cells-for-.NET
#  The path to the documents directory.
dataDir = RunExamples.GetDataDir(".")
workbook = Workbook(dataDir + "chart.xls")
worksheet = workbook.worksheets[1]
#  Load the chart from source worksheet
chart = worksheet.charts[0]
#  Resize the chart
chart.chart_object.width = 400
chart.chart_object.height = 300
#  Reposition the chart
chart.chart_object.x = 250
chart.chart_object.y = 150
#  Output the file
workbook.save(dataDir + "chart.out.xls")

操作设计图表

有时你需要操作或修改设计器模板文件中的图表。Aspose.Cells for Python via .NET 完全支持操作设计器图表内容和元素。数据、图表内容、背景图片和格式可以准确保持。

在模板文件中操纵设计图表

要在模板文件中操纵设计图表，请使用与图表相关的API。例如，您可以使用Worksheet.Charts属性获取模板文件中现有的图表集合。

创建图表

以下示例显示了如何创建金字塔图表。稍后我们将操纵此图表。

from aspose.cells import Workbook
from aspose.cells.charts import ChartType
from os import os, path

#  For complete examples and data files, please go to https:# github.com/aspose-cells/Aspose.Cells-for-.NET
#  The path to the documents directory.
dataDir = RunExamples.GetDataDir(".")
#  Create directory if it is not already present.
IsExists = path.isdir(dataDir)
if notIsExists:
    os.makedirs(dataDir)
#  Instantiating a Workbook object
workbook = Workbook()
#  Adding a new worksheet to the Excel object
sheetIndex = workbook.worksheets.add()
#  Obtaining the reference of the newly added worksheet by passing its sheet index
worksheet = workbook.worksheets[sheetIndex]
#  Adding sample values to cells
worksheet.cells.get("A1").put_value(50)
worksheet.cells.get("A2").put_value(100)
worksheet.cells.get("A3").put_value(150)
worksheet.cells.get("B1").put_value(4)
worksheet.cells.get("B2").put_value(20)
worksheet.cells.get("B3").put_value(50)
#  Adding a chart to the worksheet
chartIndex = worksheet.charts.add(ChartType.PYRAMID, 5, 0, 15, 5)
#  Accessing the instance of the newly added chart
chart = worksheet.charts[chartIndex]
#  Adding SeriesCollection (chart data source) to the chart ranging from "A1" cell to "B3"
chart.n_series.add("A1:B3", True)
#  Saving the Excel file
workbook.save(dataDir + "book1.out.xls")

操作图表

以下示例显示了如何操纵现有的图表。在此示例中，我们修改了上面创建的图表。请注意，在生成的输出中，一个数据点的日期标签已设置为“United Kingdom, 30K”。

from aspose.cells import Workbook

#  For complete examples and data files, please go to https:# github.com/aspose-cells/Aspose.Cells-for-.NET
#  The path to the documents directory.
dataDir = RunExamples.GetDataDir(".")
#  Open the existing file.
workbook = Workbook(dataDir + "piechart.xls")
#  Get the designer chart in the second sheet.
sheet = workbook.worksheets[1]
chart = sheet.charts[0]
#  Get the data labels in the data series of the third data point.
datalabels = chart.n_series[0].points[2].data_labels
#  Change the text of the label.
datalabels.text = "Unided Kingdom, 400K "
#  Save the excel file.
workbook.save(dataDir + "output.xls")

在设计师模板中操作折线图

在这个例子中，我们将操作一个折线图。我们将向现有图表添加一些数据系列，并改变它们的线条颜色。

from aspose.cells import Workbook
from aspose.pydrawing import Color

#  For complete examples and data files, please go to https:# github.com/aspose-cells/Aspose.Cells-for-.NET
#  The path to the documents directory.
dataDir = RunExamples.GetDataDir(".")
#  Open the existing file.
workbook = Workbook(dataDir + "Book1.xlsx")
#  Get the designer chart in the first worksheet.
chart = workbook.worksheets[0].charts[0]
#  Add the third data series to it.
chart.n_series.add("{60, 80, 10}", True)
#  Add another data series (fourth) to it.
chart.n_series.add("{0.3, 0.7, 1.2}", True)
#  Plot the fourth data series on the second axis.
chart.n_series[3].plot_on_second_axis = True
#  Change the Border color of the second data series.
chart.n_series[1].border.color = Color.green
#  Change the Border color of the third data series.
chart.n_series[2].border.color = Color.red
#  Make the second value axis visible.
chart.second_value_axis.is_visible = True
#  Save the excel file.
workbook.save(dataDir + "output.xls")