I have a Pandas Dataframe with a column called "Digit".
According to specific window size, it shall output the occurrences of the values. For example (csv) - 3 columns (digits is the third) - sliding window of 8:
2018-08-05 15:11:26,39.0,3
2018-08-05 15:13:05,99.0,9
2018-08-05 15:37:07,1442.0,1
2018-08-05 15:38:19,72.0,7
2018-08-05 16:23:58,2739.0,2
2018-08-05 16:30:03,365.0,3
2018-08-05 16:30:06,3.0,3
2018-08-05 16:30:45,39.0,3
#1 - 1 times
#2 - 0 times
#3 - 4 times
#4 - 0 times
#5 - 0 times
#6 - 0 times
#7 - 1 times
#8 - 0 times
#9 - 1 times
A .csv file will be provided
Hi there! I have experience working with pandas dataframes in python.. Your idea is basically the same when one performs a convolution over a dataframe, so can be quickly done.
One question. What's the size of your dataset?
Good luck!
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