FHColors 1.0.1

A Package containing the corporate design colers of Fraunhofer Gesellschaft

FHColors

A Package containing the corporate design colers of Fraunhofer Gesellschaft

Colors

import FHColors as fhc

print(fhc.colors.green1)

returns

array([0.09019608, 0.61176471, 0.49019608, 1.        ])

available colors are:

• green1
• orange1
• blue1
• red1
• green2
• orange2
• blue2
• grey1
• grey2

Maps

print(fhc.maps.BlackToGreenToWhite(.5))

returns

(0.2497071555895085, 0.6798319327731093, 0.5795772854596384, 1.0)

available maps are:

• BlackToGreen
• WhiteToGreen
• GreenToWhite
• OrangeToGreen
• GreenToOrange
• BlackToGreenToOrangeToWhite
• BlackToGreenToWhite
• BlackToGreenToWhite_short
• colors

Example 1

from FHColors import colors, maps
import numpy as np
import matplotlib.pyplot as plt

maps=[
    maps.BlackToGreen,
    maps.GreenToWhite,
    maps.GreenToOrange,
    maps.BlackToGreenToOrangeToWhite,
    maps.BlackToGreenToWhite,
    maps.BlackToGreenToWhite_short,
    maps.colors]
mapnames=[
    'maps.BlackToGreen',
    'maps.GreenToWhite',
    'maps.GreenToOrange',
    'maps.BlackToGreenToOrangeToWhite',
    'maps.BlackToGreenToWhite',
    'maps.BlackToGreenToWhite_short',
    'maps.colors']
fig,axes=plt.subplots(nrows=len(maps), ncols=1)
fig.set_figheight(20)
fig.patch.set_facecolor(colors.grey1)
for ii,m in enumerate(maps):
    for i in np.arange(0,256,1):
        light=np.sum(m(i)[:3])/3
        axes[ii].plot([i],[light], 'o', markersize=30, color=m(i))
    axes[ii].set_xlabel('Colorvalue')
    axes[ii].set_ylabel('Brightness')
    axes[ii].title.set_text(mapnames[ii])
    axes[ii].patch.set_facecolor(colors.grey1)
plt.tight_layout(pad=3)
plt.savefig('maps.png',facecolor=fig.get_facecolor(), edgecolor='none')
plt.show()

Example 2

import seaborn as sns

df = sns.load_dataset('iris')

sns.boxplot(
    data=df,
    x='species',
    y='sepal_length',
    palette=sns.color_palette([colors.orange1,colors.green1,colors.green1]))
fig=plt.gcf()
ax=plt.gca()
ax.set_title('Highlighting Setosa')
fig.patch.set_facecolor(colors.grey1)
ax.patch.set_facecolor(colors.grey1)
plt.tight_layout()
#plt.savefig('Boxplot_Eta_corr.png',facecolor=fig.get_facecolor(), edgecolor='none')
plt.show()