graspgraph 0.3.4

Create easy-to-understand graphs

graspgraph

Create easy-to-understand graphs

Concept

Make it easier to understand with graphs

Stats

Database ER diagram-like

Pivot table

What is possible

statsgraph

1. Graphing statistics

dbergraph

1. Graphing database table definition information

pivotgraph

1. Graphing a pivot table

Reason for development

• I want to make things that are difficult to understand through text alone easier to understand by creating graphs

Versions

Version	Summary
0.3.4	Add pivotgraph
0.2.5	Refactoring
0.2.4	Add dbergraph
0.1.0	Release graspgraph(statsgraph)

Installation

graspgraph

pip install graspgraph

Graphviz

Required for PDF output

Poppler

Required for PDF image conversion

Usage

statsgraph

import graspgraph as gg

statsgraph = gg.Statsgraph(
  gg.StatsgraphAxis([1, 2, 3, 4, 5]),
  gg.StatsgraphAxis([11, 12, 13, 14, 15]),
  gg.FigureColors(line = "blue"))
figure = statsgraph.to_figure()
figure.LayoutTitleText = "<b>[statsgraph]<br>タイトル</b>"
figure.XTitleText = "X軸"
figure.YTitleText = "Y軸"
figure.Write("./statsgraph.png")

dbergraph

import graspgraph as gg

prefix = "./database"
dbergraph = gg.Dbergraph(gg.Database.from_file_path(gg.Path.join(prefix, "yaml")))
dbergraph.Database.update()
dot = dbergraph.to_dot()
dot.TitleText = "<b>[dbergraph]</b>"
pdfFilePath = gg.Path.join(prefix, "pdf")
pngFilePath = gg.Path.join(prefix, "png")
dot.Write(pdfFilePath)
gg.Pdf.convert(pdfFilePath, pngFilePath)

pivotgraph

import graspgraph as gg

pivotTable = gg.PivotTable.from_array([
  ["", "収入", "支出", "利益"],
  ["1月", 1, 2, 3],
  ["2月", -1, -2.5, -2],
  ["3月", 0, -0.5, 1],
])
pivotgraph = gg.Pivotgraph(gg.PivotgraphAxis(pivotTable, gg.FigureTick(2)), gg.PivotgraphColors(bars = ["blue", "red", "green"]))
figure = pivotgraph.to_figure()
figure.LayoutTitleText = "<b>[pivotgraph]</b>"
figure.XTitleText = "金額(百万円)"
figure.YTitleText = "月次"
figure.Write("./images/pivot/usage.png")

CLI

pdf.convert

Convert PDF to image

1. Image(PNG) conversion by CLI execution

pdf.convert # <pdf file path> <image file path>

graspgraph pdf.convert graph.pdf graph.png

graph.png is done.