Building a large pandas data frame in 3D

Question

I'm currently trying to visualize a huge amount of data in the same plot. Basically, I have data in the interval [0,1], obtained between 13:00 and 16:00 with an interval of 5 seconds. Data is stored in pandas DataFrame, DF , having this timestamp of 5 seconds as an index. So the data looks like

 >>> DF abc 13:00:00 0.994035 0.996058 0.998792 13:00:05 0.994035 0.996058 0.998776 13:00:10 0.994061 0.996058 0.998768 13:00:15 0.994105 0.996058 0.998768 13:00:20 0.994070 0.996058 0.998761 ... 

Of course, the obvious way to solve this problem would be to simply call pandas own plot function DF.plot() , getting

But since I have huge (hundreds) of such data, this makes no sense, and instead I thought about how to possibly visualize it using a 3D plot, where, for example, further

• the x axis is the timestamp (index for the data frame above)
• the y axis is the column names of the data frame (in examples a , b and c respectively) and
• the z axis is the actual data.

However, since I am not very good at plotting methods, I thought there might be someone who is.