Simple way to plot time series with real dates using pandas
<p>Starting from the following CSV data, loaded into a pandas data frame...</p>

<pre><code>Buchung;Betrag;Saldo
27.06.2016;-1.000,00;42.374,95
02.06.2016;500,00;43.374,95
01.06.2016;-1.000,00;42.874,95
13.05.2016;-500,00;43.874,95
02.05.2016;500,00;44.374,95
04.04.2016;500,00;43.874,95
02.03.2016;500,00;43.374,95
10.02.2016;1.000,00;42.874,95
02.02.2016;500,00;41.874,95
01.02.2016;1.000,00;41.374,95
04.01.2016;300,00;40.374,95
30.12.2015;234,54;40.074,95
02.12.2015;300,00;39.840,41
02.11.2015;300,00;39.540,41
08.10.2015;1.000,00;39.240,41
02.10.2015;300,00;38.240,41
02.09.2015;300,00;37.940,41
31.08.2015;2.000,00;37.640,41
</code></pre>

<p>... I would like an intuitive way to plot the time series given by the dates in column "Buchung" and the monetary values in column "Saldo". </p>

<p>I tried</p>

<pre><code>seaborn.tsplot(data=data, time="Buchung", value="Saldo")
</code></pre>

<p>which yields</p>

<pre><code>ValueError: could not convert string to float: '31.08.2015'
</code></pre>

<p>What is an easy way to read the dates and values and plot the time series? I assume this is such a common problem that there must be a three line solution.</p>