title: Import an exported grafana csv file into python pandas that makes sense?
body: <p>The title of this question could probably use some work. But here is what I'm wanting to do. I have exported data from a grafana dashboard. It turns out to be something like</p>
  <pre><code>    Series  Time    Value
  0   A   2020-11-11 21:00:00-05:00   0.003020
  1   A   2020-11-11 21:00:30-05:00   0.050300
  2   A   2020-11-11 21:01:00-05:00   0.080000
  3   A   2020-11-11 21:01:30-05:00   0.000900
  4   A   2020-11-11 21:02:00-05:00   0.004000
  ....
      Series  Time    Value
  0   B   2020-11-11 21:00:00-05:00   0.004070
  1   B   2020-11-11 21:00:30-05:00   0.002080
  2   B   2020-11-11 21:01:00-05:00   0.004030
  3   B   2020-11-11 21:01:30-05:00   0.005040
  4   B   2020-11-11 21:02:00-05:00   0.006060
  </code></pre>
  <p>What I would like to do is import the data and translate it to something that is makes sense with pandas. Something like...</p>
  <pre><code>    Time    Series_A    Series_B
  0  2020-11-11 2121:00:00-05:00  0.003020    0.004070
  1  2020-11-11 2121:00:30-05:00  0.050300    0.002080
  2  2020-11-11 2121:01:00-05:00  0.080000    0.004030
  3  2020-11-11 2121:01:30-05:00  0.000900    0.005040
  4  2020-11-11 2121:02:00-05:00  0.004000    0.006060    
  
            
  </code></pre>
  <p>This allows for graphs to be easily created between the to different set of Series.</p>