In [1]:

    

%matplotlib inline

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

eu28_passengers = pd.read_csv(r"datasets/eu28passengers.csv",header=0, index_col="Mode")
eu28_passengers = eu28_passengers.transpose()
eu28_passengers.head()


    

    
Out[1]:






  

    

      
Mode
      
Passenger Cars
      
Powered 2-wheelers
      
Buses & Coaches
      
Railways
      
Tram & Metro
      
Air
      
Sea
    
  
  

    

      
1995
      
3934.8
      
116.4
      
502.7
      
350.3
      
73.7
      
347.9
      
44.4
    
    

      
1996
      
4003.0
      
118.0
      
507.2
      
348.8
      
74.9
      
368.0
      
44.0
    
    

      
1997
      
4087.2
      
122.0
      
509.0
      
349.8
      
75.7
      
392.1
      
43.6
    
    

      
1998
      
4191.0
      
126.1
      
516.1
      
350.7
      
76.9
      
411.2
      
43.1
    
    

      
1999
      
4306.8
      
129.9
      
518.3
      
358.5
      
78.5
      
427.3
      
42.6
    
  

In [2]:

    

railway_change = (eu28_passengers["Railways"].iloc[-1] - eu28_passengers["Railways"].iloc[0])/eu28_passengers["Railways"].iloc[0]
railway_change = str(round(railway_change,2)*100)
railway_change = "+" + railway_change.split('.')[0] + "%"

bus_change = (eu28_passengers["Buses & Coaches"].iloc[-1] - eu28_passengers["Buses & Coaches"].iloc[0])/eu28_passengers["Buses & Coaches"].iloc[0]
bus_change = str(round(bus_change,2)*100)
bus_change = "+" + bus_change.split('.')[0] + "%"

metro_change = (eu28_passengers["Tram & Metro"].iloc[-1] - eu28_passengers["Tram & Metro"].iloc[0])/eu28_passengers["Tram & Metro"].iloc[0]
metro_change = str(round(metro_change,2)*100)
metro_change = "+" + metro_change.split('.')[0] + "%"

car_change = (eu28_passengers["Passenger Cars"].iloc[-1] - eu28_passengers["Passenger Cars"].iloc[0])/eu28_passengers["Passenger Cars"].iloc[0]
car_change = str(round(car_change,2)*100)
car_change = "+" + car_change.split('.')[0] + "%"


    

In [3]:

    

colors = ['#66b077','#c95f63','#5e80b7',"#8d80b9"]

eu_pubtrans = eu28_passengers.plot(y=["Passenger Cars","Buses & Coaches", "Railways", "Tram & Metro"], color = colors, legend=False, lw=2,logy=True)

plt.title("TRANSIT USAGE IN THE EU-28\n1995-2014",fontsize=13, family="serif",fontweight='bold')
eu_pubtrans.axes.title.set_position([.5, 1.05])
eu_pubtrans.axes.set_xlabel("Year",size=9, family="serif")
eu_pubtrans.axes.set_ylabel("Billion\nPassenger\nKilometers", rotation=0, ha="right",size=9, family="serif",)

# Remove top and right axes lines ("spines")
spines_to_remove = ['top', 'right']
for spine in spines_to_remove:
    eu_pubtrans.spines[spine].set_visible(False)

eu_pubtrans.xaxis.set_ticks_position('none')
eu_pubtrans.yaxis.set_ticks_position('none')

eu_pubtrans.set_xticklabels(eu_pubtrans.get_xticklabels(), family="serif")
eu_pubtrans.set_yticklabels(('',0,100,1000,10000),family="serif")

eu_pubtrans.grid(color='black', linestyle=':', linewidth=0.5, axis='y', alpha=0.66)

eu_pubtrans.annotate(s=metro_change, xy=(.875,0.25), xycoords="axes fraction", family="serif")
eu_pubtrans.annotate(s=railway_change, xy=(.875,0.5), xycoords="axes fraction", family="serif")
eu_pubtrans.annotate(s=bus_change, xy=(.875,0.6), xycoords="axes fraction", family="serif")
eu_pubtrans.annotate(s=car_change, xy=(.875,0.8), xycoords="axes fraction", family="serif")

eu_pubtrans.plot()
# plt.tight_layout()
eu_pubtrans.legend(loc='center left', bbox_to_anchor=(1.05, 0.2), prop={"family":"serif", "size":9})
eu_pubtrans.annotate(s="Source: European Union", xy=(1.06,0), xycoords="axes fraction", family="serif")


    

In [ ]: