Mean Operation on HDF5 File in Python
i have a HDF5 File, which contains 500000 rows x 3 columns.
Additionallly each element in first two columns is an array with 2000 values.
I would like to calculate the mean value of each 40th part of an array in order to reduce the array from 2000 values to 50 values. I've tried to load the HDF5 File into pandas and numpy in order for the calculation, but all the time i get the same error, that the array size is to big. Does anyone have any ideas?
python hdf5
asked Nov 19 '18 at 23:09
chako1912chako1912
1
add a comment |
i have a HDF5 File, which contains 500000 rows x 3 columns.
Additionallly each element in first two columns is an array with 2000 values.
I would like to calculate the mean value of each 40th part of an array in order to reduce the array from 2000 values to 50 values. I've tried to load the HDF5 File into pandas and numpy in order for the calculation, but all the time i get the same error, that the array size is to big. Does anyone have any ideas?
python hdf5
asked Nov 19 '18 at 23:09
chako1912chako1912
1
You might want to work on a single 2000-values array at a time instead of loading the whole thing.for row in range(0, 500000): for column in range (0, 3): <average the array>.
– Guimoute
Nov 26 '18 at 12:16
add a comment |
i have a HDF5 File, which contains 500000 rows x 3 columns.
Additionallly each element in first two columns is an array with 2000 values.
I would like to calculate the mean value of each 40th part of an array in order to reduce the array from 2000 values to 50 values. I've tried to load the HDF5 File into pandas and numpy in order for the calculation, but all the time i get the same error, that the array size is to big. Does anyone have any ideas?
python hdf5
asked Nov 19 '18 at 23:09
chako1912chako1912
1
i have a HDF5 File, which contains 500000 rows x 3 columns.
Additionallly each element in first two columns is an array with 2000 values.
I would like to calculate the mean value of each 40th part of an array in order to reduce the array from 2000 values to 50 values. I've tried to load the HDF5 File into pandas and numpy in order for the calculation, but all the time i get the same error, that the array size is to big. Does anyone have any ideas?
python hdf5
python hdf5
asked Nov 19 '18 at 23:09
chako1912chako1912
1
asked Nov 19 '18 at 23:09
chako1912chako1912
1
asked Nov 19 '18 at 23:09
chako1912chako1912
1
asked Nov 19 '18 at 23:09
chako1912chako1912
1
asked Nov 19 '18 at 23:09
chako1912chako1912
1
1
You might want to work on a single 2000-values array at a time instead of loading the whole thing.for row in range(0, 500000): for column in range (0, 3): <average the array>.
– Guimoute
Nov 26 '18 at 12:16
add a comment |
You might want to work on a single 2000-values array at a time instead of loading the whole thing.for row in range(0, 500000): for column in range (0, 3): <average the array>.
– Guimoute
Nov 26 '18 at 12:16
You might want to work on a single 2000-values array at a time instead of loading the whole thing.
for row in range(0, 500000): for column in range (0, 3): <average the array>.– Guimoute
Nov 26 '18 at 12:16
You might want to work on a single 2000-values array at a time instead of loading the whole thing.
for row in range(0, 500000): for column in range (0, 3): <average the array>.– Guimoute
Nov 26 '18 at 12:16
add a comment |
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You might want to work on a single 2000-values array at a time instead of loading the whole thing.
for row in range(0, 500000): for column in range (0, 3): <average the array>.– Guimoute
Nov 26 '18 at 12:16