Minimum temperature (station)

Key: meteo_tmin | Category: Weather |

Related Data Layers:

Spatial and temporal coverage
Shape type	First	Last	Coverage
Country			85.65 %
Region			57.81 %
District			53.61 %
Total	Jan. 1, 2010	Sept. 23, 2024	53.96 %

Data Layer information

Source file is available (Show file)

from .meteo import Meteo


class MeteoTmin(Meteo):
    def __init__(self) -> None:
        super().__init__()
        self.col_of_interest = "tmin"
        self.format_suffix = "°C"

Data is available locally

Data is loaded into the database

Log | Files

Operation	Minimum
Database unit	Celsius per day
Value type	`value`
Temporal resolution	`date`

Original data information

Information	Description
Format	API
Format unit	Celsius per day
Spatial details	Coordinates
Spatial coverage	Ghana
Temporal details	Daily/Hourly
Temporal coverage	Depends on weather station
Source	Meteostat
Language	eng
License	CC-BY-NC-4.0
Date published
Date last accessed	None
Citation

The Data Layers data can be accessed via an API. Below you see minimal code snippets to query the data. For more information regarding the API please look at the documentation.

import requests
from requests.auth import HTTPBasicAuth
from urllib.parse import urlencode

import pandas as pd
import matplotlib.pyplot as plt

# set host, like http://localhost:8000, to where your Data Hub is running
HOST = ''
# in case of basic auth set to HTTPBasicAuth('user', 'password')
AUTH = None

q = {
    'datalayer_key': 'meteo_tmin',

    # Optional filters to narrow down the returned data:
    #'shape_id': '',
    #'shape_type': '',
    #'start_date': '',
    #'end_date': '',
}
d = requests.get(f"{HOST}/api/datalayers/data/?{urlencode(q)}", auth=AUTH).json()
meteo_tmin_df = pd.DataFrame(d['data'])
meteo_tmin_df['date'] = pd.to_datetime(meteo_tmin_df['date'], format="%Y-%m-%d")

There is no ready use snippet for API usage in R yet, though you can adapt the Python example to your R needs.

Minimum temperature (station)

Data Layer information

src/datalayer/meteo_tmin.py

Original data information