Handles large time series using PyTables and Pandas
Project description
TsTables is a Python package to store time series data in HDF5 files using PyTables. It stores time series data into daily partitions and provides functions to query for subsets of data across partitions.
Its goals are to support a workflow where tons (gigabytes) of time series data are appended periodically to a HDF5 file, and need to be read many times (quickly) for analytical models and research.
Not ready for use yet
TsTables is not ready for use yet and is currently under development. The goal is to have something workable and being testing by end of May, 2014. If you are interested in the project (to contribute or learn when it is finished), email Andy Fiedler at andy@andyfiedler.com.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file tstables-0.0.6dev.tar.gz.
File metadata
- Download URL: tstables-0.0.6dev.tar.gz
- Upload date:
- Size: 8.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3426ddeaed2ec3e50407b1d37ee59263c98584afde9b9b08ee10ba35a621f2b7
|
|
| MD5 |
e6700d9e9ca556b296ec0f38c7550b5c
|
|
| BLAKE2b-256 |
5d22f53bac01d284814990b7d5f32b9b68a28321566b419216238361f264685c
|
