Tide Prediction tools
Project description
tidepredict
A Python module for forecasting tides.
Description
I wrote this module as I wanted a pure Python solution written to work with my weather station which use the WeeWX Python codebase. WeeWX currently uses XTide, which is a fine application, but currently only has updated harmonics constituents for US locations. I wanted a tool that could easily generate new harmonic constituents from a set of tidal measurements for locations outside the US.
The module is essentially a wrapper on the pytides module and uses this codebase essentially unmodified to generate the harmonic constituents.
In keeping with good standards I've tried to maintain the command line interface options and output options of XTide. At present there is much to do and this module currently only supports the plain and list modes for output.
Currently the possible locations are limited to the University of Hawaii's Research Quality Dataset: [https://uhslc.soest.hawaii.edu].
If you run the tool with the option -harmgen
it will automatically pull down the most recent two years of hourly measurements from the server and generate the harmonic constituents for the location.
After running this once, the constituents are saved locally and you don't need to do this again; unless you want updated data.
Installation
pip install tidepredict
Usage
Example 1
python tidepredict -l Lyttelton
Should produce a series of tide predictions similar to the following:
Tide forecast for Lyttelton, New Zealand
Latitude:-43.60 Longitude:172.72
All times in TZ: Pacific/Auckland
2019-09-14 2259 0.63 Low Tide
2019-09-15 0502 2.18 High Tide
2019-09-15 1112 0.68 Low Tide
2019-09-15 1721 2.22 High Tide
2019-09-15 2338 0.64 Low Tide
2019-09-16 0544 2.17 High Tide
2019-09-16 1152 0.71 Low Tide
2019-09-16 1804 2.20 High Tide
2019-09-17 0018 0.66 Low Tide
2019-09-17 0628 2.16 High Tide
2019-09-17 1234 0.74 Low Tide
2019-09-17 1849 2.17 High Tide
the default is for three days from the current date and time. However you can add start and end times and dates using the -e
and -b
options.
Example 2
python tidepredict -l Lyttelton -b 2019-11-02 00:00 -e 2019-11-03 00:00
Tide forecast for Lyttelton, New Zealand
Latitude:-43.60 Longitude:172.72
All times in TZ: Pacific/Auckland
2019-11-02 0309 0.53 Low Tide
2019-11-02 0929 2.54 High Tide
2019-11-02 1548 0.59 Low Tide
2019-11-02 2154 2.34 High Tide
Example 3
python tidepredict -l Lyttelton -harmgen
This will search the research quality dataset for the hourly sea level measurements and generate harmonics constituents for them.
Example 4
python tidepredict -l Lyttelton -fp
Create a tide graph using Python pandas. This is saved to the user home directory / .tidepredict / tidegraph.png
Example 5
python tidepredict -l Lyttelton -fc
CSV output
Lyttelton,2020-09-02,2259,Pacific/Auckland, 0.56, Low Tide
Lyttelton,2020-09-03,0459,Pacific/Auckland, 2.25, High Tide
Lyttelton,2020-09-03,1112,Pacific/Auckland, 0.61, Low Tide
Lyttelton,2020-09-03,1720,Pacific/Auckland, 2.32, High Tide
Lyttelton,2020-09-03,2340,Pacific/Auckland, 0.58, Low Tide
Lyttelton,2020-09-04,0542,Pacific/Auckland, 2.22, High Tide
Lyttelton,2020-09-04,1155,Pacific/Auckland, 0.64, Low Tide
Lyttelton,2020-09-04,1804,Pacific/Auckland, 2.26, High Tide
Lyttelton,2020-09-05,0022,Pacific/Auckland, 0.61, Low Tide
Lyttelton,2020-09-05,0628,Pacific/Auckland, 2.19, High Tide
Lyttelton,2020-09-05,1238,Pacific/Auckland, 0.68, Low Tide
Lyttelton,2020-09-05,1849,Pacific/Auckland, 2.21, High Tide
License
MIT
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for tidepredict-0.4.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e518b9175cba8288b7f94c76b3e7beba7c63e257d85132a1da91553802cbc3bd |
|
MD5 | f95805cb25bf660362e799f76da34762 |
|
BLAKE2b-256 | 3eecd74200bf86a1b97d8e7c79a793a2cbadcfdd7f086201b6c9a41881853f0f |