In [3]:

    

import pandas as pd
import numpy as np
import plotly.plotly as py
import plotly.graph_objs as go

df = pd.read_csv("https://raw.githubusercontent.com/democratia/political_science/master/Daten/libor-zinsen.csv", sep=",")
currencies = list(df)[1:]
print(currencies)


    

    




['CHF', 'USD', 'JPY', 'GBP', 'EUR']

In [5]:

    

traces = []
for i in currencies:
    print(i)
    traces.append(go.Scatter(
        x=df["Monat"],
        y=df[i],
        mode='lines',
        connectgaps=True,
        name=i
    ))
layout = go.Layout(
        title='Libor interest rate for different currencies',
        xaxis=dict(title='Month'),
        yaxis=dict(title='Interest rate')
    )
fig = go.Figure(data=traces, layout=layout)    
py.iplot(fig, filename='libor-interest-rate')


    

    




CHF
USD
JPY
GBP
EUR






    
Out[5]:

In [ ]: