Benchmark color palettes.
pip install colorteller
We have built a website for color palette discovery and sharing:
https://colorteller.kausalflow.com
Read the Documentation.
colorteller benchmark -h "#8de4d3" -h "#344b46" -h "#74ee65" -h "#238910" -h "#a6c363" -h "#509d99" -wbc True -t test_colorteller_cmd
-h
specifies a color in hex format;-t
specifies the folder to hold all the results (charts, metrics json, etc). It should be a folder.;-wbc
isTrue
will create benchmark metric charts;
from colorteller.teller import ColorTeller
hex_strings = ["#8de4d3", "#344b46", "#74ee65", "#238910", "#a6c363", "#509d99"]
ct = teller.ColorTeller(hex_strings=hex_strings)
To retrieve the properties of the color palette, please refer to colorteller.teller
.
from colorteller.teller import ColorTeller
from colorteller.utils import benchmark
hex_strings = ["#8de4d3", "#344b46", "#74ee65", "#238910", "#a6c363", "#509d99"]
ct = teller.ColorTeller(hex_strings=hex_strings)
c = teller.Colors(colorteller=ct)
m = c.metrics(
methods=[
benchmark.PerceptualDistanceBenchmark,
benchmark.LightnessBenchmark
]
)
from colorteller import teller
from colorteller.utils import benchmark
from colorteller.visualize import BenchmarkCharts, ApplicationCharts
hex_strings = ["#8de4d3", "#344b46", "#74ee65", "#238910", "#a6c363", "#509d99"]
ct = teller.ColorTeller(hex_strings=hex_strings)
c = teller.Colors(colorteller=ct)
m = c.metrics(
methods=[benchmark.PerceptualDistanceBenchmark, benchmark.LightnessBenchmark]
)
charts = BenchmarkCharts(metrics=m, save_folder=".")
charts.distance_matrix(show=True)
charts.noticable_matrix(show=True)
from colorteller import teller
from colorteller.utils import benchmark
from colorteller.visualize import BenchmarkCharts, ApplicationCharts
hex_strings = ["#8de4d3", "#344b46", "#74ee65", "#238910", "#a6c363", "#509d99"]
ct = teller.ColorTeller(hex_strings=hex_strings)
c = teller.Colors(colorteller=ct)
ac = ApplicationCharts(colors=c, save_folder=".")
ac.charts(save_to=True)
# One could also create specific charts using the following
# ac.bar_chart(show=True)
# ac.line_chart(show=True)
# ac.scatter_chart(show=True)
# ac.donut_chart(show=True)