Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ajstarks/dchart
dchart makes charts using deck markup
https://github.com/ajstarks/dchart
api chart deck go golang visualization
Last synced: 18 days ago
JSON representation
dchart makes charts using deck markup
- Host: GitHub
- URL: https://github.com/ajstarks/dchart
- Owner: ajstarks
- License: other
- Created: 2020-04-17T23:52:28.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-06-08T17:48:57.000Z (5 months ago)
- Last Synced: 2024-10-12T16:58:09.950Z (about 1 month ago)
- Topics: api, chart, deck, go, golang, visualization
- Language: Go
- Homepage:
- Size: 35.3 MB
- Stars: 32
- Watchers: 3
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# dchart - charts for deck
The dchart package generates ```deck``` markup for various chart types, reading from an ```io.ReadCloser``` and writing to
an ```io.Writer```. The chart types and attributes defined by manipulating settings.
## API
NewChart(chartype string, top, bottom, left, right float64) => settings
settings.[thing] = ...
settings.GenerateChart(deck *generate.Deck, io.ReadCloser)
Chart Data []ChartData
Chart Settings Settings
Read CSV or TSV Getdata(r io.ReadCloser, readcsv bool, cols string) ([]ChartData,float64,float64,string)
Read TSV TSVdata(r io.ReadCloser) ([]ChartData, float64, float64, string)
Read CSV CSVdata(r io.ReadCloser, csvcols string) ([]ChartData, float64, float64, string)
Defne a Chart NewChart(chartType string, top, bottom, left, right float64) Settings
Define Standalone NewFullChart(chartType string, top, bottom, left, right float64) Settings
Make Chart (s *Settings) GenerateChart(deck *generate.Deck, r io.ReadCloser)
Write the Chart (s *Settings) Write(w io.Writer, r io.ReadCloser)
## Example Client
package main
import (
"fmt"
"os"
"github.com/ajstarks/dchart"
"github.com/ajstarks/deck/generate"
)
func main() {
chart := dchart.NewFullChart("bar", 0, 0, 0, 0)
chart.ShowTitle = true
chart.XLabelInterval = 2
deck := generate.NewSlides(os.Stdout, 0, 0)
deck.StartDeck()
for _, f := range os.Args[1:] {
r, err := os.Open(f)
if err != nil {
fmt.Fprintf(os.Stderr, "%v\n", err)
continue
}
chart.GenerateChart(deck, r)
}
deck.EndDeck()
}
creates this chart.
## Command line client
```cmd/dchart``` is the command line tool for ```dchart```. It generates deck markup for bar, line, scatter, dot, volume, donut, proportional and fan charts, reading data from the standard input or specified files. Unless specified otherwise, each input source generates a slide in the deck.
The input data format a tab-separated or CSV formatted list of ```label,data``` pairs where label is an arbitrary string,
and data is intepreted as a floating point value.
A line beginning with "#" is parsed as a title,
with the title text beginning after the "#". If a third column is present, it serves as an annotation.
label strings with ```\n``` characters denote multi-line labels.
Here is an example input data file:
# GOOG Stock Volume (Millions of Shares)
2017-01-01 33.1916
2017-02-01 25.6825
2017-03-01 33.8351 Peak
2017-04-01 25.1619
2017-05-01 32.1801
Example CSV file:
#,GOOG Stock Volume (Millions of Shares)
2017-01-01,33.1916
2017-02-01,25.6825
2017-03-01,33.8351,Peak
2017-04-01,25.1619
2017-05-01,32.1801
Typically ```dchart``` generates input for deck clients like ```pdfdeck```, or ```pdi``` (a shell script for pdfdeck which reads
deck markup on the standard input and produces PDF on the standard output).
$ dchart foo.d bar.d baz.d > fbb.xml && pdfdeck fbb.xml && open fbb.pdf
$ dchart -min=0 -max=700 -datafmt %0.2f -line -bar=f -vol -dot [A-Z]*.d | pdi > allvol.pdf
$ ls -lS | awk 'BEGIN {print "# File Size"} NR > 1 {print $NF "\t" $5}' | dchart -hbar | pdi > fs.pdf
## Defaults
With no options, ```dchart``` makes a bar graph, showing data values and every data label.
## Placement
The plot is positioned and scaled on the deck canvas with the
```-top```, ```-bottom```, ```-left```, and ```-right``` flags.
These flag values represent percentages on the deck canvas.
## Chart types and elements
The ```-bar```, ```-hbar```, ```-line```, ```-dot```, ```-scatter```, ```-vol```,
```-pgrid```, ```-pmap```,```-donut```, and ```-radial```.
flags specify the chart types.
The ```-grid```, ```-title```, ```-val```, and ```-yaxis```
flags control the visibility of plot components.
## Command line options
-dmim data minimum (default false, min=0)
-min set the minimum value
-max set the maximum value
-csv read CSV files (default false)
-csvcol specify the columns to use for label,value
-bar show bar chart (default true)
-wbar show "word" bar chart (default false)
-hbar horizontal chart layout (default false)
-scatter show a scatter chart (default false)
-dot show dot plot (default false)
-lego show lego chart (default false)
-bowtie show bowtie chart (default false)
-fan show fan chart (default false)
-line show line chart (default false)
-slope show a slope chart (default false)
-frame show a frame outlining the chart (default false)
-datacond conditional coloring (low,high,color)
-rline show regression line (default false)
-vol show volume plot (default false)
-pgrid show a proportional grid (default false)
-pmap show proportional map (default false)
-donut show a donut chart (default false)
-radial show a radial chart (default false)
-spokes show a radial chart with spokes (default false)
-grid show gridlines on the y axis (default false)
-val show values (default true)
-pct show percentages with values (default false)
-valpos value position (t=top, b=bottom, m=middle) (default "t")
-yaxis show a y axis (default true)
-yrange specify the y axis labels (min,max,step)
-fulldeck generate full deck markup (default true)
-title show title (default true)
-chartitle specify the title (overiding title in the data)
-hline horizontal line with optional label (value,label)
-noteloc note location (c-center, r-right, l-left, default c)
-top top of the plot (default 80)
-bottom bottom of the plot (default 30)
-left left margin (default 20)
-right right margin (default 80)
-psize diameter of the donut (default 30)
-pwidth width of the donut or proportional map (default 3 time textsize)
-solidpmap use solid colors for pmaps
-barwidth barwidth (default computed from the number of data points)
-linewidth linewidth for line charts (default 0.2)
-ls linespacing (default 2.4)
-textsize text size (default 1.5)
-xlabel x axis label interval (default 1, 0 to supress all labels)
-xlabrot x axis label rotation (default 0, no rotation)
-xstagger stagger x axis labels
-xlast show the last x label
-color data color (default "lightsteelblue")
-framecolor frame color (default "rgb(127,0,0)")
-rlcolor regression line color (default "rgb(127,0,0)")
-vcolor value color (default "rgb(127,0,0)")
-lcolor axis label color (default "rgb(75,75,75)")
-volop volume opacity (default 50)
-datafmt data format for values (default "%.1f")
-note show annotations (default true)
## Examples
Using this data in ```AAPL.d```
# AAPL Volume
2017-01-01 563.122
2017-02-01 574.969
2017-03-01 561.628
2017-04-01 373.304
2017-05-01 653.755
2017-06-01 684.178
2017-07-01 421.992
2017-08-01 661.069
2017-09-01 679.879
2017-10-01 504.291
2017-11-01 600.663
2017-12-01 417.354
here are some variations.
$ dchart AAPL.d
$ dchart -yrange=0,700,50 AAPL.d
$ dchart -xlabel=2 -left 30 -right 70 -top 70 -bottom 40 -yaxis=f AAPL.d
$ dchart -color gray AAPL.d
$ dchart -grid AAPL.d # add a y axis grid
$ dchart -grid -barwidth=1 AAPL.d # adjust the bar width
$ dchart -bar=f -dot AAPL.d # no bars, dot plot
$ dchart -bar=f -vol AAPL.d # no bars, volume plot
$ dchart -datafmt %0.2f -bar=f -dot -line AAPL.d
$ dchart -bar=f -line AAPL.d # line chart
$ dchart -bar=f -line -yaxis=f -val=f AAPL.d # only show line and x axis
$ dchart -scatter -val=f -bar=f -yaxis=f AAPL.d
$ dchart -bar=f -line -vol -dot AAPL.d # combine line, volume, and dot
$ dchart -bar=f -line -vol -dot -yaxis=f AAPL.d # as above, removing the y-axis
$ dchart -bar=f -line -vol -dot -grid AAPL.d
$ dchart -hbar AAPL.d
$ sort -k2 -nr pdf.d | dchart -left 20 -hbar
Using this data in ``browser.d``
# Browser Market Share Dec 2016-Dec 2017
Chrome 53.72
Safari 14.47
Other 9.36
UC 8.28
Firefox 6.23
IE 3.99
Opera 3.9
here are views of proportional data:
$ dchart -wbar browser.d
$ dchart -donut -color=std -pwidth=5 browser.d
$ dchart -pmap -pwidth=5 -textsize=1 browser.d
Using this data in incar.d:
# US Incarceration Rate
White 39 antiquewhite
Hispanic 19 burlywood
Black 40 sienna
Other 2 gray
the note field may be used to specify the color
$ dchart -ls 3 -val=f -pgrid incar.d
Here is the lego chart variation:
$ dchart -left 30 -top 80 -lego -textsize 4
Using this data in slope.d
# Test Slope Graphs
one 20 First
two 80
three 0 Second
four 0
five 100 Third
six 0
seven 0 Fourth
eight 100
nine 50 Fifth
ten 50
eleven 100 Sixth
twelve 100
$ dchart -slope -left=10 -right=30 -top=80 -bottom=60 slope.d
Using this data in count.d:
# Count Of Things
One 10 red
Two 20 green
Three 30 blue
Four 40 purple
Five 50 yellow
Six 60 black
Seven 70 brown
Eight 80 silver
Nine 90 orange
Ten 100 pink
$ dchart -psize=10 -pwidth=40 -left=50 -top=50 -radial -textsize=3 data/incr.d|pdf -pagesize 800,800
Using this data:
# Clockwise
twelve 12 red
one 1 green
two 2 blue
three 3 purple
four 4 maroon
five 5 black
six 6 brown
seven 7 silver
eight 8 orange
nine 9 pink
ten 10
eleven 11
$ dchart -psize=10 -pwidth=40 -left=50 -top=50 -radial -textsize=3 -spokes data/clock.d|pdf -pagesize 800,800
Using this data:
# Occupations of African-Americans and Whites (2019)
Management 31.8 crimson
Service 23.8 gold
Sales 22.4 steelblue
Construction 5.7 tan
Production 16.3 rgb(101,67,33)
Management 41.4 crimson
Service 15.9 gold
Sales 21.3 steelblue
Construction 10.1 tan
Production 11.3 rgb(101,67,33)
$ dchart -val -psize=20 -top=60 -bowtie occupation.d
$ dchart 0val -psize=20 -top=60 -fan occupation.d
