I have monthly data of 25 total years. I split the monthly data in Januarys, Februarys, etc. to have 25 points each (so each month for the 25 years). Then in order to rebuild the original data array, a function was made:
def merge_months(split_data):
merged_months = []
for value in range(split_data.shape[1]):
for month in range(split_data.shape[0]):
merged_months.append(split_data[month][value])
return merged_months
You can simply implement the function in a loop so the function is applied 6 times to reshuffle the (12,25) data:
merged_3d = []
for i in range(len(multi_dim_array)): #multi_dim_array being your (6,12,25) data
merged_3d.append(merge_months(multi_dim_array[i]))
This returns (6,300) shaped data.
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