Example of using the `mplstyle` package

With the package you have the following possibilities to define your style:

plt_style: Set the formattingn; default: default
color_style: Set the colors; default: default
color_order_style: Set the color order; default: default



In [1]:

    
%matplotlib inline



In [2]:

    
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl

Import `mplstyle` class

when initializing, the default style is automatically set



In [3]:

    
from mplstyle.enfo import PLTenfo
from mplstyle.tz import PLTtz
enfo_plt = PLTenfo()
tz_plt = PLTtz()

Read the data



In [4]:

    
ghd_bs = pd.read_csv('data/ghd_bs.csv')
ghd_bs = ghd_bs.set_index('jahr')



In [5]:

    
ghd_bs.head(6)









    Out[5]:







  
    
      
      Steinkohle
      Braunkohle
      Öl
      Gas
      Strom
      Fernwärme
      Erneuerbare Energien
    
    
      jahr
      
      
      
      
      
      
      
    
  
  
    
      2011
      15
      2
      302
      390
      507
      86
      44
    
    
      2020
      4
      0
      167
      269
      458
      78
      127
    
    
      2025
      2
      0
      127
      213
      438
      70
      153
    
    
      2030
      1
      0
      99
      166
      421
      62
      172
    
    
      2040
      0
      0
      65
      102
      395
      48
      197
    
    
      2050
      0
      0
      46
      66
      383
      39
      219



In [6]:

    
ghd_bs.Gas.describe()









    Out[6]:





count      6.000000
mean     201.000000
std      118.101651
min       66.000000
25%      118.000000
50%      189.500000
75%      255.000000
max      390.000000
Name: Gas, dtype: float64

Set `plt_style`



In [7]:

    
tz_plt.get_available_styles()









    



Available styles:

color_style: ['default', 'blue', 'mpl2_colors']
color_order_style: ['default', 'blue', 'mpl2_colors']
plt_style: ['default', 'jupyter-notebook']



In [8]:

    
tz_plt.set_style(plt_style='jupyter-notebook')

Set `color_style`



In [9]:

    
enfo_plt.get_available_styles()









    



Available styles:

color_style: ['default', 'enfo']
color_order_style: ['default']
plt_style: ['default', 'enfo']



In [10]:

    
enfo_plt.set_style(color_style='enfo')



In [11]:

    
colors = enfo_plt.get_colors()



In [12]:

    
enfo_plt.get_colors().keys()









    Out[12]:





dict_keys(['Steinkohle', 'Braunkohle', 'Mineralölprodukte', 'Mineralöle', 'Öl', 'Gas', 'Erdgas', 'Nichterneuerbare Abfälle', 'Strom', 'Fernwärme', 'Erneuerbare Energien', 'Beleuchtung', 'Mechanische Energie', 'IKT', 'Prozesswärme', 'Warmwasser', 'Raumwärme', 'Prozesskälte', 'Klimakälte', 'Kühlen/Lüften/Haustechnik', 'Sonstige', 'Wasserstoff', 'Personenverkehr', 'Güterverkehr', 'Kernenergie', 'Nettoimporte Strom', 'Sonstige Sekundärenergieträger'])

Plot figuere: Energy consumption



In [13]:

    
fig, (ax0, ax1) = plt.subplots(2, 1, figsize=[9, 6],
                               gridspec_kw={'height_ratios': [1, 0.1]})
ax1.axis('off')

color = [colors[i] for i in ghd_bs.columns]
ghd_bs.plot.bar(ax=ax0, stacked=True, width=0.5, edgecolor=None, 
                zorder=2, rot=0, legend=False, color=color)

handles, labels = ax0.get_legend_handles_labels()
ax0.legend(handles, labels, loc='upper center', ncol=3,
          bbox_to_anchor=(0.5, -0.05))

ax0.set_xlabel('').set_visible(False)
ax0.set_title('Endenergie PJ', fontsize=20, fontweight='bold')









    Out[13]:





Text(0.5,1,'Endenergie PJ')

View documentation



In [14]:

    
enfo_plt.set_style?









    





Signature: enfo_plt.set_style(*args, **kwargs)
Docstring:
Set plot style, colors and color order.

Args:
    *args: optional string for the uniform style; i.e. non-key worded
        ('default')
    plt_style: optional string for plt style;
        (plt_style='default')
    color_style: optional string for color order;
        (color_style='default')
    color_order_style: optional string for color order style;
            (color_order_style='default')
File:      d:\tzipperle\python-tools\mplstyle\mplstyle\base.py
Type:      method



In [15]:

    
%whos









    



Variable   Type           Data/Info
-----------------------------------
PLTenfo    type           <class 'mplstyle.enfo.PLTenfo'>
PLTtz      type           <class 'mplstyle.tz.PLTtz'>
ax0        AxesSubplot    AxesSubplot(0.125,0.243636;0.775x0.636364)
ax1        AxesSubplot    AxesSubplot(0.125,0.11;0.775x0.0636364)
color      list           n=7
colors     dict           n=27
enfo_plt   PLTenfo        <mplstyle.enfo.PLTenfo ob<...>ct at 0x000000000AA0CF28>
fig        Figure         Figure(900x600)
ghd_bs     DataFrame            Steinkohle  Braunko<...> 39                   219
handles    list           n=7
labels     list           n=7
tz_plt     PLTtz          <mplstyle.tz.PLTtz object at 0x000000000AA0CEF0>

	Steinkohle	Braunkohle	Öl	Gas	Strom	Fernwärme	Erneuerbare Energien
jahr
2011	15	2	302	390	507	86	44
2020	4	0	167	269	458	78	127
2025	2	0	127	213	438	70	153
2030	1	0	99	166	421	62	172
2040	0	0	65	102	395	48	197
2050	0	0	46	66	383	39	219

Example of using the mplstyle package

Import mplstyle class

Read the data

Set plt_style

Set color_style

Plot figuere: Energy consumption

View documentation

Example of using the `mplstyle` package

Import `mplstyle` class

Set `plt_style`

Set `color_style`