Créer un graphique circulaire avec lignes de repère
Pour démontrer l’utilisation de l’API Aspose.Cells pour Python via .NET pour créer un graphique en secteurs avec des lignes de leader, nous allons d’abord créer un nouveau Workbook et y insérer quelques données qui serviront de source de données de la série. Une fois les données en place, nous ajouterons un Chart de type ChartType.PIE à la collection de graphiques et réglerons ses différents aspects pour obtenir la vue souhaitée du graphique.
from aspose.cells import FileFormatType, Workbook | |
from aspose.cells.charts import ChartType, DataLabelsSeparatorType, LabelPositionType | |
# 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 an instance of Workbook in XLSX format | |
workbook = Workbook(FileFormatType.XLSX) | |
# Access the first worksheet | |
worksheet = workbook.worksheets[0] | |
# Add two columns of data | |
worksheet.cells.get("A1").put_value("Retail") | |
worksheet.cells.get("A2").put_value("Services") | |
worksheet.cells.get("A3").put_value("Info & Communication") | |
worksheet.cells.get("A4").put_value("Transport Equip") | |
worksheet.cells.get("A5").put_value("Construction") | |
worksheet.cells.get("A6").put_value("Other Products") | |
worksheet.cells.get("A7").put_value("Wholesale") | |
worksheet.cells.get("A8").put_value("Land Transport") | |
worksheet.cells.get("A9").put_value("Air Transport") | |
worksheet.cells.get("A10").put_value("Electric Appliances") | |
worksheet.cells.get("A11").put_value("Securities") | |
worksheet.cells.get("A12").put_value("Textiles & Apparel") | |
worksheet.cells.get("A13").put_value("Machinery") | |
worksheet.cells.get("A14").put_value("Metal Products") | |
worksheet.cells.get("A15").put_value("Cash") | |
worksheet.cells.get("A16").put_value("Banks") | |
worksheet.cells.get("B1").put_value(10.4) | |
worksheet.cells.get("B2").put_value(5.2) | |
worksheet.cells.get("B3").put_value(6.4) | |
worksheet.cells.get("B4").put_value(10.4) | |
worksheet.cells.get("B5").put_value(7.9) | |
worksheet.cells.get("B6").put_value(4.1) | |
worksheet.cells.get("B7").put_value(3.5) | |
worksheet.cells.get("B8").put_value(5.7) | |
worksheet.cells.get("B9").put_value(3) | |
worksheet.cells.get("B10").put_value(14.7) | |
worksheet.cells.get("B11").put_value(3.6) | |
worksheet.cells.get("B12").put_value(2.8) | |
worksheet.cells.get("B13").put_value(7.8) | |
worksheet.cells.get("B14").put_value(2.4) | |
worksheet.cells.get("B15").put_value(1.8) | |
worksheet.cells.get("B16").put_value(10.1) | |
# Create a pie chart and add it to the collection of charts | |
id = worksheet.charts.add(ChartType.PIE, 3, 3, 23, 13) | |
# Access newly created Chart instance | |
chart = worksheet.charts[id] | |
# Set series data range | |
chart.n_series.add("B1:B16", True) | |
# Set category data range | |
chart.n_series.category_data = "A1:A16" | |
# Turn off legend | |
chart.show_legend = False | |
# Access data labels | |
dataLabels = chart.n_series[0].data_labels | |
# Turn on category names | |
dataLabels.show_category_name = True | |
# Turn on percentage format | |
dataLabels.show_percentage = True | |
# Set position | |
dataLabels.position = LabelPositionType.OUTSIDE_END | |
# Set separator | |
dataLabels.separator_type = DataLabelsSeparatorType.COMMA |
Jusqu’à présent, nous avons créé un graphique circulaire et réglé ses différents aspects. Maintenant, nous allons activer les lignes de repère pour le graphique. Veuillez noter que pour afficher les lignes de repère, nous devons déplacer légèrement les étiquettes de données.
Le code suivant active les lignes de repère, actualise le graphique, puis calcule les positions des étiquettes de données pour les déplacer en conséquence.
from aspose.cells import FileFormatType, Workbook | |
from aspose.cells.charts import ChartType, DataLabelsSeparatorType, LabelPositionType | |
# For complete examples and data files, please go to https:# github.com/aspose-cells/Aspose.Cells-for-.NET | |
# Create an instance of Workbook in XLSX format | |
workbook = Workbook(FileFormatType.XLSX) | |
# Access the first worksheet | |
worksheet = workbook.worksheets[0] | |
# Add two columns of data | |
worksheet.cells.get("A1").put_value("Retail") | |
worksheet.cells.get("A2").put_value("Services") | |
worksheet.cells.get("A3").put_value("Info & Communication") | |
worksheet.cells.get("A4").put_value("Transport Equip") | |
worksheet.cells.get("A5").put_value("Construction") | |
worksheet.cells.get("A6").put_value("Other Products") | |
worksheet.cells.get("A7").put_value("Wholesale") | |
worksheet.cells.get("A8").put_value("Land Transport") | |
worksheet.cells.get("A9").put_value("Air Transport") | |
worksheet.cells.get("A10").put_value("Electric Appliances") | |
worksheet.cells.get("A11").put_value("Securities") | |
worksheet.cells.get("A12").put_value("Textiles & Apparel") | |
worksheet.cells.get("A13").put_value("Machinery") | |
worksheet.cells.get("A14").put_value("Metal Products") | |
worksheet.cells.get("A15").put_value("Cash") | |
worksheet.cells.get("A16").put_value("Banks") | |
worksheet.cells.get("B1").put_value(10.4) | |
worksheet.cells.get("B2").put_value(5.2) | |
worksheet.cells.get("B3").put_value(6.4) | |
worksheet.cells.get("B4").put_value(10.4) | |
worksheet.cells.get("B5").put_value(7.9) | |
worksheet.cells.get("B6").put_value(4.1) | |
worksheet.cells.get("B7").put_value(3.5) | |
worksheet.cells.get("B8").put_value(5.7) | |
worksheet.cells.get("B9").put_value(3) | |
worksheet.cells.get("B10").put_value(14.7) | |
worksheet.cells.get("B11").put_value(3.6) | |
worksheet.cells.get("B12").put_value(2.8) | |
worksheet.cells.get("B13").put_value(7.8) | |
worksheet.cells.get("B14").put_value(2.4) | |
worksheet.cells.get("B15").put_value(1.8) | |
worksheet.cells.get("B16").put_value(10.1) | |
# Create a pie chart and add it to the collection of charts | |
id = worksheet.charts.add(ChartType.PIE, 3, 3, 23, 13) | |
# Access newly created Chart instance | |
chart = worksheet.charts[id] | |
# Set series data range | |
chart.n_series.add("B1:B16", True) | |
# Set category data range | |
chart.n_series.category_data = "A1:A16" | |
# Turn off legend | |
chart.show_legend = False | |
# Access data labels | |
dataLabels = chart.n_series[0].data_labels | |
# Turn on category names | |
dataLabels.show_category_name = True | |
# Turn on percentage format | |
dataLabels.show_percentage = True | |
# Set position | |
dataLabels.position = LabelPositionType.OUTSIDE_END | |
# Set separator | |
dataLabels.separator_type = DataLabelsSeparatorType.COMMA | |
# Turn on leader lines | |
chart.n_series[0].has_leader_lines = True | |
# Calculete chart | |
chart.calculate() | |
# You need to move DataLabels a little leftward or rightward depending on their position to show leader lines | |
DELTA = 100 | |
for i in range(chart.n_series[0].points.count): | |
X = chart.n_series[0].points[i].data_labels.x | |
# If it is greater than 2000, then move the X position a little right otherwise move the X position a little left | |
if X > 2000: | |
chart.n_series[0].points[i].data_labels.x = X + DELTA | |
else: | |
chart.n_series[0].points[i].data_labels.x = X - DELTA |
Enfin, le code suivant sauvegarde le graphique au format image et le classeur au format XLSX.
from aspose.cells import FileFormatType, Workbook | |
from aspose.cells.charts import ChartType, DataLabelsSeparatorType, LabelPositionType | |
from aspose.cells.drawing import ImageType | |
from aspose.cells.rendering import ImageOrPrintOptions | |
# For complete examples and data files, please go to https:# github.com/aspose-cells/Aspose.Cells-for-.NET | |
# Create an instance of Workbook in XLSX format | |
workbook = Workbook(FileFormatType.XLSX) | |
# Access the first worksheet | |
worksheet = workbook.worksheets[0] | |
# Add two columns of data | |
worksheet.cells.get("A1").put_value("Retail") | |
worksheet.cells.get("A2").put_value("Services") | |
worksheet.cells.get("A3").put_value("Info & Communication") | |
worksheet.cells.get("A4").put_value("Transport Equip") | |
worksheet.cells.get("A5").put_value("Construction") | |
worksheet.cells.get("A6").put_value("Other Products") | |
worksheet.cells.get("A7").put_value("Wholesale") | |
worksheet.cells.get("A8").put_value("Land Transport") | |
worksheet.cells.get("A9").put_value("Air Transport") | |
worksheet.cells.get("A10").put_value("Electric Appliances") | |
worksheet.cells.get("A11").put_value("Securities") | |
worksheet.cells.get("A12").put_value("Textiles & Apparel") | |
worksheet.cells.get("A13").put_value("Machinery") | |
worksheet.cells.get("A14").put_value("Metal Products") | |
worksheet.cells.get("A15").put_value("Cash") | |
worksheet.cells.get("A16").put_value("Banks") | |
worksheet.cells.get("B1").put_value(10.4) | |
worksheet.cells.get("B2").put_value(5.2) | |
worksheet.cells.get("B3").put_value(6.4) | |
worksheet.cells.get("B4").put_value(10.4) | |
worksheet.cells.get("B5").put_value(7.9) | |
worksheet.cells.get("B6").put_value(4.1) | |
worksheet.cells.get("B7").put_value(3.5) | |
worksheet.cells.get("B8").put_value(5.7) | |
worksheet.cells.get("B9").put_value(3) | |
worksheet.cells.get("B10").put_value(14.7) | |
worksheet.cells.get("B11").put_value(3.6) | |
worksheet.cells.get("B12").put_value(2.8) | |
worksheet.cells.get("B13").put_value(7.8) | |
worksheet.cells.get("B14").put_value(2.4) | |
worksheet.cells.get("B15").put_value(1.8) | |
worksheet.cells.get("B16").put_value(10.1) | |
# Create a pie chart and add it to the collection of charts | |
id = worksheet.charts.add(ChartType.PIE, 3, 3, 23, 13) | |
# Access newly created Chart instance | |
chart = worksheet.charts[id] | |
# Set series data range | |
chart.n_series.add("B1:B16", True) | |
# Set category data range | |
chart.n_series.category_data = "A1:A16" | |
# Turn off legend | |
chart.show_legend = False | |
# Access data labels | |
dataLabels = chart.n_series[0].data_labels | |
# Turn on category names | |
dataLabels.show_category_name = True | |
# Turn on percentage format | |
dataLabels.show_percentage = True | |
# Set position | |
dataLabels.position = LabelPositionType.OUTSIDE_END | |
# Set separator | |
dataLabels.separator_type = DataLabelsSeparatorType.COMMA | |
# In order to save the chart image, create an instance of ImageOrPrintOptions | |
anOption = ImageOrPrintOptions() | |
# Set image format | |
anOption.image_type = ImageType.PNG | |
# Set resolution | |
anOption.horizontal_resolution = 200 | |
anOption.vertical_resolution = 200 | |
# Render chart to image | |
chart.to_image(dataDir + "output_out.png", anOption) | |
# Save the workbook to see chart inside the Excel | |
workbook.save(dataDir + "output_out.xlsx") |
Diagramme circulaire résultant |
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Sujets avancés
- Couleurs de tranche personnalisées dans le diagramme circulaire
- Savoir si les points de données sont dans le deuxième diagramme circulaire ou dans une barre sur un diagramme de deux ou trois cercles ou sur un diagramme à barres de deux ou trois cercles