Tweaking seaborn graph from pandas DataFrame

[Karthik Sharma]

I am trying to plot the timeseries graph of internet traffic from 11 cities in Europe.

I got access to the data set from https://datamarket.com/data/set/232i/internet-traffic-data-in-bits-from-a-private-isp-with-centres-in-11-european-cities-the-data-corresponds-to-a-transatlantic-link-and-was-collected-from-0657-hours-on-7-june-to-1117-hours-on-31-july-2005-daily-data#!ds=232i&display=line

    # !/usr/bin/env python3.4

    # -*- coding: utf-8 -*-

    

    import pandas as pd

    import seaborn as sns

    import matplotlib.pyplot as plt

    

    df = pd.read_csv('internet-traffic-data-in-bits.csv')

    

    print(df.dtypes)

    

    

    bp = sns.tsplot([df.Internet_traffic_data_in_bits],color="indianred",)

    

    bp.set(xlabel='Date', ylabel='Internet Traffic Data (bits) in 11 European cities')

    

    plt.xticks(rotation=45)

    # plt.tight_layout()

    plt.show()

The graph that I get is shown here. http://i.stack.imgur.com/88Yfo.png

My questions is mainly about tweaking or beautifying the following graph.

1) I want the `date` to be marked more frequently on the x-axis.

2) I would prefer the Y-axis numbers to have 0.6x10^12 (or something similar) for each value rather than `1e12`  at the very top.

3) I am making calls to `matplotlib.pyplot` object on a couple of occassions. I would like to avoid it and deal directly with `seaborn` object

It would be great if someone could help me out.