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My Data looks like this:
549 648.077 0.01
552 648.141 0.45
554 647.167 0.1
572 648.141 0.3
530 630.213 0.69
560 670.312 0.70
there are a few thousand lines in the file
the 1strow values range from 0-1100
the 2ndrow values range from 600-700
the 3rdrow values range from 0-1 I need to plot the data and therefore need to sort and modify the data:
I need to split the 3rd row values (normal range 0.0-1.0) into segments 0.0-0.20, 0.21-0.40, 0,41-0,60, 0.61-0.80,0.81-1.00
Next I need to split the segments from the 1strow (normal range (0-1100) into segments like 0-10, 11-20,21-30and so on up to 1100. What I want to do is find all 2nd row values within a region 0.0-0.20 and 0-10 , 0.0-0.20 and 11-20,0.0-0.20 and 21-30.
When found I want to add them all together and divide the value by the number of appearances to get the mean value: so I want for a region between 0.0-0.20 and 0-10 one value. I'm fairly new to python and I think that this is some kind of approach:
dataList = 
with open("table.csv") as csv_file:
data_reader = csv.reader(csv_file, dialect='excel-tab')
for rows in data_reader:
if float(rows) <= 0.20:
if float(rows) <= 10:
if 10 <float(rows)<=20:
That should work (without the print of course) to get the values, repeated than for if 20<float(rows)<= 0.40: ..... That should bring me the values I want but is there an easy way to set a range going from 0-1100 in 10 units step?
P.S.: I am aware that I gave lots of Info for a relative short question and that's because I don't really know if python is the best way to do this and if my approach is reasonable? Maybe I should go with panda but that I just installed. So in case anyone knows an easier (maybe not coding related) way to solve a problem like this I'd really appreciate it.