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Showing posts with the label Hdf5

Is It Possible To Directly Rename Pandas Dataframe's Columns Stored In Hdf5 File?

I have a very large pandas dataframe stored in hdf5 file, and I need to rename the columns of the d… Read more Is It Possible To Directly Rename Pandas Dataframe's Columns Stored In Hdf5 File?

Python: Can I Write To A File Without Loading Its Contents In Ram?

Got a big data-set that I want to shuffle. The entire set won't fit into RAM so it would be goo… Read more Python: Can I Write To A File Without Loading Its Contents In Ram?

Most Efficient Way To Use A Large Data Set For Pytorch?

Perhaps this question has been asked before, but I'm having trouble finding relevant info for m… Read more Most Efficient Way To Use A Large Data Set For Pytorch?

Getting Multiple Datasets From Group In Hdf5

I am comparing two different hdf5 files to make sure that they match. I want to create a list with … Read more Getting Multiple Datasets From Group In Hdf5

Pytables Duplicates 2.5 Giga Rows

I currently have a .h5 file, with a table in it consisting of three columns: a text columns of 64 c… Read more Pytables Duplicates 2.5 Giga Rows

How To Store An Array In Hdf5 File Which Is Too Big To Load In Memory?

Is there any way to store an array in an hdf5 file, which is too big to load in memory? if I do som… Read more How To Store An Array In Hdf5 File Which Is Too Big To Load In Memory?

Losing Timezone-awareness When Saving Hyerarchical Pandas Datetimeindex To Hdf5 In Python

I'm on pandas 0.14.1. Assume I need to index data by two timestamps in a hierarchical index usi… Read more Losing Timezone-awareness When Saving Hyerarchical Pandas Datetimeindex To Hdf5 In Python

How To Compress The Data That Saved In Hdf5?

I am using python 2.7 to read a video and store in hdf5. This is my code import h5py import skvideo… Read more How To Compress The Data That Saved In Hdf5?

Fast And Efficient Way Of Serializing And Retrieving A Large Number Of Numpy Arrays From Hdf5 File

I have a huge list of numpy arrays, specifically 113287, where each array is of shape 36 x 2048. In… Read more Fast And Efficient Way Of Serializing And Retrieving A Large Number Of Numpy Arrays From Hdf5 File

Attributeerror: 'int' Object Has No Attribute 'encode' Hdf5

I'm trying to open a HDF5 file in Python using the following code: with h5py.File('example.… Read more Attributeerror: 'int' Object Has No Attribute 'encode' Hdf5

Hdf5 Headers Missing In Installation Of Netcdf4 Module For Python

I have attempted to install the netCDF4 module several times now and I keep getting the same error:… Read more Hdf5 Headers Missing In Installation Of Netcdf4 Module For Python

Finding A Duplicate In A Hdf5 Pytable With 500e6 Rows

Problem I have a large (> 500e6 rows) dataset that I've put into a pytables database. Lets … Read more Finding A Duplicate In A Hdf5 Pytable With 500e6 Rows

Typeerror: Read_hdf() Takes Exactly 2 Arguments (1 Given)

How to open a HDF5 file with pandas.read_hdf when the keys are not known? from pandas.io.pytables … Read more Typeerror: Read_hdf() Takes Exactly 2 Arguments (1 Given)

Query HDF5 In Pandas

I have following data (18,619,211 rows) stored as a pandas dataframe object in hdf5 file: … Read more Query HDF5 In Pandas

Opening A Corrupted PyTables HDF5 File

I am hoping for some help in opening a corrupted HDF5 file. I am accessing PyTables via Pandas, but… Read more Opening A Corrupted PyTables HDF5 File

Fast And Efficient Way Of Serializing And Retrieving A Large Number Of Numpy Arrays From HDF5 File

I have a huge list of numpy arrays, specifically 113287, where each array is of shape 36 x 2048. In… Read more Fast And Efficient Way Of Serializing And Retrieving A Large Number Of Numpy Arrays From HDF5 File