FAU - Colors
The official colors of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) as matplotlib / seaborn colormaps.
We support the old colors based on the 2019 CI-guidelines and the brand new 2021 Brand redesign.
Installation
pip install fau-colors
Quick Guide
2021 colormaps
import seaborn as sns
from fau_colors import register_cmaps
register_cmaps()
sns.set_palette("tech")
2019 colormaps
import seaborn as sns
from fau_colors.v2019 import register_cmaps
register_cmaps()
sns.set_palette("tech")
General Usage
The 2019 and the 2021 colors are available in the separate submodules fau_colors.v2019 and fau_colors.v2021 that contain equivalent functions.
Note: For convenience, the v2021 colors can also be accessed from the top-level. In the following examples we will use this shorter notation.
The methods below show the usage with the new color scheme. For the old colors simply replace the module name.
Registering color palettes
The easiest way to use the provided color palettes is to register them as global matplotlib colormaps. This can be done by calling the register_cmaps() function from the respective submodule. All available cmaps can be seen in the images above.
2021 colors
>>> from fau_colors import register_cmaps # v2021 colors
>>> register_cmaps()
2019 colors
>>> from fau_colors.v2019 import register_cmaps
>>> register_cmaps()
WARNING: The 2019 and 2021 cmaps have overlapping names! This means you can not register both at the same time. You need to call unregister_cmaps from the correct module first, before you can register the other colormaps. If you need colormaps from both CI-guides, use them individually, as shown below.
Getting the raw colors
All primary faculty colors are stored in a namedtuple called colors.
2021 colors
>>> from fau_colors import colors # v2021 colors
>>> colors
FacultyColors(fau='#002F6C', tech='#779FB5', phil='#FFB81C', med='#00A3E0', nat='#43B02A', wiso='#C8102E')
>>> colors.fau
'#002F6C'
2019 colors
>>> from fau_colors.v2019 import colors
>>> colors
FacultyColors(fau='#003865', tech='#98a4ae', phil='#c99313', med='#00b1eb', nat='#009b77', wiso='#8d1429')
>>> colors.fau
'##003865'
For the 2021 color scheme also the variable colors_dark and colors_all are available. They contain the dark variant of each color, as well as light and dark colors combined, respectively.
Manually getting the colormaps
The colormaps are stored in a namedtuple called cmaps. There are colormaps for the primary colors and colormaps with varying lightness using each color as the base color. The latter colormaps contain 5 colors each with 12.5, 25, 37.5, 62.5, and 100% value of the base color. If you need more than 5 colors see below.
2021 colors
>>> from fau_colors import cmaps # v2021 colors
>>> # Only get the names here
>>> cmaps._fields
('faculties', 'faculties_dark', 'faculties_all', 'fau', 'fau_dark', 'tech', 'tech_dark', 'phil', 'phil_dark', 'med', 'med_dark', 'nat', 'nat_dark', 'wiso', 'wiso_dark')
>>> cmaps.fau_dark
[(0.01568627450980392, 0.11764705882352941, 0.25882352941176473), (0.3823913879277201, 0.4463667820069205, 0.5349480968858131), (0.629434832756632, 0.6678200692041523, 0.7209688581314879), (0.7529565551710881, 0.7785467128027682, 0.8139792387543252), (0.876478277585544, 0.889273356401384, 0.9069896193771626)]
>>> import seaborn as sns
>>> sns.set_palette(cmaps.fau_dark)
2019 colors
>>> from fau_colors.v2019 import cmaps
>>> # Only get the names here
>>> cmaps._fields
('faculties', 'fau', 'tech', 'phil', 'med', 'nat', 'wiso')
>>> cmaps.fau
[(0.0, 0.2196078431372549, 0.396078431372549), (0.37254901960784315, 0.5103421760861206, 0.6210688196847366), (0.6235294117647059, 0.7062053056516724, 0.772641291810842), (0.7490196078431373, 0.8041368704344483, 0.8484275278738946), (0.8745098039215686, 0.9020684352172241, 0.9242137639369473)]
>>> import seaborn as sns
>>> sns.set_palette(cmaps.fau)
Modifying the colormaps
Sometimes five colors are not enough for a colormap. The easiest way to generate more colors is to use one of the FAU colors as base and then create custom sequential palettes from it. This can be done using sns.light_palette or sns.dark_palette, as explained here.
2021 colors
>>> from fau_colors import colors # v2021 colors
>>> import seaborn as sns
>>> sns.light_palette(colors.med, n_colors=8)
[(0.9370639121761148, 0.9445189791516921, 0.9520035391049294), (0.8047725363394869, 0.9014173378043252, 0.9416168802970363), (0.6688064000629526, 0.8571184286417537, 0.9309417031889239), (0.5365150242263246, 0.8140167872943868, 0.9205550443810308), (0.40054888794979027, 0.7697178781318151, 0.9098798672729183), (0.2682575121131623, 0.7266162367844482, 0.8994932084650251), (0.13229137583662798, 0.6823173276218767, 0.8888180313569127), (0.0, 0.6392156862745098, 0.8784313725490196)]
2019 colors
>>> from fau_colors.v2019 import colors
>>> import seaborn as sns
>>> sns.light_palette(colors.med, n_colors=8)
[(0.9363137612705862, 0.94473936725293, 0.9520047198366567), (0.8041282890912094, 0.9093574773431737, 0.9477078597351495), (0.6682709982401831, 0.8729927571581465, 0.9432916424086003), (0.5360855260608062, 0.8376108672483904, 0.9389947823070931), (0.40022823520978, 0.8012461470633632, 0.9345785649805439), (0.2680427630304031, 0.765864257153607, 0.9302817048790367), (0.13218547217937693, 0.7294995369685797, 0.9258654875524875), (0.0, 0.6941176470588235, 0.9215686274509803)]c
611 Dec 29, 2022
462 Jan 2, 2023
394 Dec 18, 2022
13.1k Feb 18, 2021
8.1k Feb 18, 2021
1.6k Jan 6, 2023
4 Feb 07, 2022
5 Jun 02, 2022
1.6k Jan 08, 2023
3 Dec 01, 2021
20 Nov 21, 2022
1 Jan 05, 2022
38 Dec 20, 2022
4 Aug 11, 2022
111 Jan 03, 2023
15 Dec 28, 2022
30 Dec 10, 2022
68 Aug 18, 2022
12 Aug 24, 2022
98 Dec 29, 2022
192 Dec 16, 2022
2 Oct 30, 2022
124 Jan 07, 2023
145 Dec 20, 2022
529 Jan 02, 2023
5 Jan 06, 2022