Skip to main content

Bezier curve simulation (including reductions the dimension from 3 to 2)

Project description

1 HistoricalWeatherTW 台灣歷史天氣爬蟲

This script is to crawl the information of 觀測資料查詢 website

Data from 觀測資料查詢系統

2 Usage

  1. Prepare station.csv.

  2. run the function of collect_weather_tw you will see the result!

    def collect_weather_tw(station_csv_path: Path, output_path,
                           end_date: datetime.date, begin_date: datetime.date,
                           query_format,
                           convert2num):

You can refer to __init__.py for more help

  1. Prepare config.yaml and use this path as input parameter

  2. run __init__.py

2.1 QUICKLY START

from Carson.Tool.HistoricalWeatherTW import collect_weather_tw, QueryFormat
from pathlib import Path
import datetime
import os

if __name__ == '__main__':
    STATION_CSV = '../config/CSV/station_test.csv'
    OUTPUT_PATH = Path(f'../temp/year_result.csv')
    BEGIN_DATE = datetime.date(2019, 10, 1)
    END_DATE = datetime.date(2019, 10, 2)
    QUERY_FORMAT = QueryFormat.DAY
    CONVERT2NUM = True
    collect_weather_tw(Path(STATION_CSV), OUTPUT_PATH,
                       BEGIN_DATE, END_DATE,
                       QUERY_FORMAT,
                       CONVERT2NUM)
    os.startfile(OUTPUT_PATH)

3 Data

資料會以觀測站ID+站名儲存

3.1 資料欄位如下

ObsTime 觀測時間(LST)

StnPres 測站氣壓(hPa)

SeaPres 海平面氣壓(hPa)

Temperature 氣溫(℃)

Tddewpoint 露點溫度(℃)

RH 相對溼度(%)

WS 風速(m/s)

WD 風向(360degree)

WSGust 最大陣風(m/s)

WDGust 最大陣風風向(360degree)

Precp 降水量(mm)

PrecpHour 降水時數(hr)

SunShine 日照時數(hr)

GloblRad 全天空日射量(MJ/㎡)

Visb 能見度(km)

4 Release note

4.1 v4.0

Encapsulated as API

4.2 v3.0

Features:

  • All outputs into a single file. (making it easier to use for SQL)

  • The output header field will automatically grab the content on the web page (not use hard coding)

  • You can choose the type of query (year, month, day) according to your needs.

Other:

  • Make the code easier to read.

4.3 V2.0

加入全台觀測站

4.4 V1.0

第一版

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

File details

Details for the file carson-tool.HistoricalWeatherTW-4.1.0.tar.gz.

File metadata

File hashes

Hashes for carson-tool.HistoricalWeatherTW-4.1.0.tar.gz
Algorithm Hash digest
SHA256 014a9591196ee7481a9958812742d4a01bc74ddb91fe00ced2b356263e07e536
MD5 4793c54c0819de855b9fa1df2f4247b4
BLAKE2b-256 e24dfa7433a8cb20840f67fc068d968fffa4406c43a93af47a1b8fa06c2c7d34

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page