File: chart_pattern.py

package info (click to toggle)
xlsxwriter 3.1.9-2
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 56,308 kB
  • sloc: python: 51,511; javascript: 7,768; sh: 284; makefile: 195; perl: 75
file content (61 lines) | stat: -rw-r--r-- 1,657 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
#######################################################################
#
# An example of an Excel chart with patterns using Python and XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2023, John McNamara, jmcnamara@cpan.org
#
import xlsxwriter

workbook = xlsxwriter.Workbook("chart_pattern.xlsx")
worksheet = workbook.add_worksheet()
bold = workbook.add_format({"bold": 1})

# Add the worksheet data that the charts will refer to.
headings = ["Shingle", "Brick"]
data = [
    [105, 150, 130, 90],
    [50, 120, 100, 110],
]

worksheet.write_row("A1", headings, bold)
worksheet.write_column("A2", data[0])
worksheet.write_column("B2", data[1])

# Create a new Chart object.
chart = workbook.add_chart({"type": "column"})

# Configure the charts. Add two series with patterns. The gap is used to make
# the patterns more visible.
chart.add_series(
    {
        "name": "=Sheet1!$A$1",
        "values": "=Sheet1!$A$2:$A$5",
        "pattern": {"pattern": "shingle", "fg_color": "#804000", "bg_color": "#c68c53"},
        "border": {"color": "#804000"},
        "gap": 70,
    }
)

chart.add_series(
    {
        "name": "=Sheet1!$B$1",
        "values": "=Sheet1!$B$2:$B$5",
        "pattern": {
            "pattern": "horizontal_brick",
            "fg_color": "#b30000",
            "bg_color": "#ff6666",
        },
        "border": {"color": "#b30000"},
    }
)

# Add a chart title and some axis labels.
chart.set_title({"name": "Cladding types"})
chart.set_x_axis({"name": "Region"})
chart.set_y_axis({"name": "Number of houses"})

# Insert the chart into the worksheet.
worksheet.insert_chart("D2", chart)

workbook.close()