datasetsforecast
Datasets for time series forecasting
Install
pip install datasetsforecast
Datasets
How to use
All the modules have a load method which you can use to load the
dataset for a specific group. If you don’t have the data locally it will
be downloaded for you.
from datasetsforecast.phm2008 import PHM2008
train_df, test_df = PHM2008.load(directory='data', group='FD001')
train_df.shape, test_df.shape
((20631, 17), (13096, 17))
3 maintainers
Release files for datasetsforecast 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datasetsforecast-1.0.1.tar.gz | 25.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datasetsforecast-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 58.0 kB
Release files / datasetsforecast-1.0.1.tar.gz
| Download URL | datasetsforecast-1.0.1.tar.gz |
|---|---|
| Size | 25.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / datasetsforecast-1.0.1-py3-none-any.whl
| Download URL | datasetsforecast-1.0.1-py3-none-any.whl |
|---|---|
| Size | 32.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
uv/0.10.5 {"installer":{"name":"uv","version":"0.10.5","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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