### Install Meteostat CLI with uvx

Source: https://dev.meteostat.net/cli

Alternative installation method for Meteostat CLI using uvx.

```bash
uvx meteostat-cli [YOUR_COMMAND]
```

--------------------------------

### Install Meteostat CLI

Source: https://dev.meteostat.net/cli

Install the Meteostat CLI using uv tool. For plotting capabilities, install the 'plot' extra.

```bash
uv tool install meteostat-cli
```

```bash
uv tool install "meteostat-cli[plot]"
```

--------------------------------

### Meteostat CLI Configuration Examples

Source: https://dev.meteostat.net/cli/configuration

Common commands for listing settings and updating specific configuration keys.

```bash
meteo config --list                         # Show all current settings  
meteo config cache_enable false             # Disable caching  
meteo config interpolation_radius 25000     # Set interpolation radius to 25 km
```

--------------------------------

### Climate Normals CLI Examples

Source: https://dev.meteostat.net/cli/timeseries/normals

Various examples for fetching climate normals, including short-form flags, multiple stations, parameter filtering, and CSV output.

```bash
meteo normals 10637 --start 1991 --end 2020
meteo n 10637 -s 1991 -e 2020              # Short form
meteo normals 10637 10635 -s 1991 -e 2020  # Multiple stations
meteo normals 10637 -s 1991 -e 2020 --parameters tavg,prcp
meteo normals 10637 -s 1991 -e 2020 --output normals.csv
```

--------------------------------

### Example Output DataFrame

Source: https://dev.meteostat.net/python/providers

This is an example of the DataFrame output when fetching hourly temperature data.

```text
time  
2018-01-01 00:00:00  11.3  
2018-01-01 01:00:00  10.8  
2018-01-01 02:00:00  10.5  
2018-01-01 03:00:00  10.0  
2018-01-01 04:00:00   9.6  
...                   ...  
2018-12-31 19:00:00   7.3  
2018-12-31 20:00:00   7.3  
2018-12-31 21:00:00   7.1  
2018-12-31 22:00:00   6.8  
2018-12-31 23:00:00   6.6  
  
[8760 rows x 1 columns]  

```

--------------------------------

### Install Meteostat Python Package

Source: https://dev.meteostat.net/python

Install the Meteostat Python package using pip. This command downloads and installs the latest version from PyPI.

```bash
pip install meteostat
```

--------------------------------

### Nearby stations output example

Source: https://dev.meteostat.net/python/stations/nearby

Example output showing the station data returned by the nearby method.

```text
                       name country region  latitude  longitude  elevation       timezone  distance  
id  
D1424    Frankfurt  Westend      DE     HE   50.1269     8.6694        124  Europe/Berlin    1649.3  
10640     Offenbach am Main      DE     HE   50.1167     8.7333         98  Europe/Berlin    3503.5  
10641  Offenbach Wetterpark      DE     HE   50.0894     8.7864        119  Europe/Berlin    7845.6  
10637     Frankfurt Airport      DE     HE   50.0500     8.6000        111  Europe/Berlin    9441.4
```

--------------------------------

### Example Daily Weather Data Output

Source: https://dev.meteostat.net/python/timeseries/daily

This is an example of the DataFrame output when fetching daily weather data. It includes various weather parameters for each day.

```text
            temp  tmin  tmax  rhum  prcp  snwd  wspd  wpgt    pres  tsun  cldc  
time  
2018-01-01   8.1   6.6  11.2    70   1.1     0  26.6  59.8  1005.0    42     7  
2018-01-02   6.4   5.2   8.0    74   5.8     0  22.0  50.8  1011.9    12     7  
2018-01-03   8.1   5.3  10.4    72   6.3     0  36.4  83.9   999.1   144     6  
2018-01-04   7.6   5.9  10.9    83   8.4     0  20.9  58.7   999.9     0     6  
2018-01-05   8.5   7.1  10.2    83   4.8     0  18.7  59.4  1001.8     0     7  
...          ...   ...   ...   ...   ...   ...   ...   ...     ...   ...   ...  
2018-12-27  -1.4  -2.1  -0.4    96   0.0     0   6.5  22.3  1030.7     0     8  
2018-12-28  -0.5  -1.0   0.3    94   0.0     0   9.7  24.1  1031.8     0     8  
2018-12-29   1.3  -0.7   4.6    92   0.8     0  16.9  45.7  1033.8     0     8  
2018-12-30   7.2   4.5   8.3    76   0.0     0  17.3  48.6  1033.2     0     8  
2018-12-31   6.8   5.6   9.0    94   0.0     0   9.7  43.9  1034.5     0     8  
  
[365 rows x 11 columns]  

```

--------------------------------

### Install AI Skill for Kiro (wget)

Source: https://dev.meteostat.net/cli/skill

Use this command to download the AI skill for Kiro when using wget. Ensure the .kiro/skills/meteo directory exists.

```bash
wget -O .kiro/skills/meteo/SKILL.md \
  https://raw.githubusercontent.com/meteostat/cli/refs/heads/main/.kiro/skills/meteo/SKILL.md
```

--------------------------------

### Meteostat CLI Inventory Examples

Source: https://dev.meteostat.net/cli/stations/inventory

Demonstrates how to use the meteo inventory command with different options. Filter by granularity and specific parameters to see available records.

```bash
meteo inventory 10637
```

```bash
meteo inventory 10637 --granularity daily
```

```bash
meteo inventory 10637 --granularity daily --parameters tavg,tmin,tmax
```

--------------------------------

### Install AI Skill for OpenCode (wget)

Source: https://dev.meteostat.net/cli/skill

Use this command to download the AI skill for OpenCode when using wget. Ensure the .opencode/skills/meteo directory exists.

```bash
wget -O .opencode/skills/meteo/SKILL.md \
  https://raw.githubusercontent.com/meteostat/cli/refs/heads/main/.opencode/skills/meteo/SKILL.md
```

--------------------------------

### Get Station Inventory Data

Source: https://dev.meteostat.net/python/stations/inventory

Use the `stations.inventory` method to retrieve the start and end dates of available data for a given station. Ensure the meteostat library is imported.

```python
import meteostat as ms

STATION = '71624'  # Toronto Pearson International Airport

# Get station inventory
inventory = ms.stations.inventory(STATION)

print(f"Data available from {inventory.start} to {inventory.end}.")
```

```text
Data available from 1937-11-01 to 2025-12-31.
```

--------------------------------

### Install AI Skill for Claude (wget)

Source: https://dev.meteostat.net/cli/skill

Use this command to download the AI skill for Claude when using wget. Ensure the .claude/skills/meteo directory exists.

```bash
wget -O .claude/skills/meteo/SKILL.md \
  https://raw.githubusercontent.com/meteostat/cli/refs/heads/main/.claude/skills/meteo/SKILL.md
```

--------------------------------

### Install AI Skill for Kiro (curl)

Source: https://dev.meteostat.net/cli/skill

Use this command to download the AI skill for Kiro when using curl. Ensure the .kiro/skills/meteo directory exists.

```bash
curl -o .kiro/skills/meteo/SKILL.md \
  https://raw.githubusercontent.com/meteostat/cli/refs/heads/main/.kiro/skills/meteo/SKILL.md
```

--------------------------------

### Install AI Skill for GitHub Copilot (wget)

Source: https://dev.meteostat.net/cli/skill

Use this command to download the AI skill for GitHub Copilot when using wget. Ensure the .copilot/skills/meteo directory exists.

```bash
wget -O .copilot/skills/meteo/SKILL.md \
  https://raw.githubusercontent.com/meteostat/cli/refs/heads/main/.copilot/skills/meteo/SKILL.md
```

--------------------------------

### Fetch Daily Data with Short Options

Source: https://dev.meteostat.net/cli/timeseries/daily

Uses short-form options for start and end dates to fetch daily weather data.

```bash
meteo d 10637 -s 2024-01-01 -e 2024-12-31              # Short form  
```

--------------------------------

### Install AI Skill for OpenCode (curl)

Source: https://dev.meteostat.net/cli/skill

Use this command to download the AI skill for OpenCode when using curl. Ensure the .opencode/skills/meteo directory exists.

```bash
curl -o .opencode/skills/meteo/SKILL.md \
  https://raw.githubusercontent.com/meteostat/cli/refs/heads/main/.opencode/skills/meteo/SKILL.md
```

--------------------------------

### Request Hourly Data via cURL

Source: https://dev.meteostat.net/api/point/hourly

Example request using cURL. Replace {key} with your valid RapidAPI key.

```bash
curl --request GET \
	--url 'https://meteostat.p.rapidapi.com/point/hourly?lat=43.6667&lon=-79.4&start=2020-01-01&end=2020-01-01&alt=113&tz=America%2FToronto' \
	--header 'x-rapidapi-host: meteostat.p.rapidapi.com' \
	--header 'x-rapidapi-key: {key}'
```

--------------------------------

### Install AI Skill for Claude (curl)

Source: https://dev.meteostat.net/cli/skill

Use this command to download the AI skill for Claude when using curl. Ensure the .claude/skills/meteo directory exists.

```bash
curl -o .claude/skills/meteo/SKILL.md \
  https://raw.githubusercontent.com/meteostat/cli/refs/heads/main/.claude/skills/meteo/SKILL.md
```

--------------------------------

### Execute API Request via cURL

Source: https://dev.meteostat.net/api

Example command to retrieve station metadata using a RapidAPI key.

```bash
curl --request GET \
	--url 'https://meteostat.p.rapidapi.com/stations/meta?id=10637' \
	--header 'x-rapidapi-host: meteostat.p.rapidapi.com' \
	--header 'x-rapidapi-key: {key}'
```

--------------------------------

### GET /monthly

Source: https://dev.meteostat.net/cli/timeseries/monthly

Fetch monthly weather summaries for one or more weather stations.

```APIDOC
## GET /monthly

### Description
Fetch monthly weather summaries for one or more weather stations.

### Method
GET

### Endpoint
meteo monthly STATIONS... [OPTIONS]

### Parameters
#### Path Parameters
- **STATIONS** (string) - Required - One or more weather station identifiers.

#### Query Parameters
- **--start** (string) - Optional - Start year for the data range.
- **--end** (string) - Optional - End year for the data range.
- **--parameters** (string) - Optional - Comma-separated list of weather parameters (e.g., tavg, prcp).
- **--output** (string) - Optional - File path to save the output (e.g., data.xlsx).

### Request Example
meteo monthly 10637 --start 2020 --end 2024

### Response
#### Success Response (200)
- **data** (array) - Returns a list of monthly weather records for the specified stations.
```

--------------------------------

### Install AI Skill for GitHub Copilot (curl)

Source: https://dev.meteostat.net/cli/skill

Use this command to download the AI skill for GitHub Copilot when using curl. Ensure the .copilot/skills/meteo directory exists.

```bash
curl -o .copilot/skills/meteo/SKILL.md \
  https://raw.githubusercontent.com/meteostat/cli/refs/heads/main/.copilot/skills/meteo/SKILL.md
```

--------------------------------

### Nearby Stations CLI Examples

Source: https://dev.meteostat.net/cli/stations/nearby

Common usage patterns for finding stations, including limiting results, adjusting search radius, and formatting output.

```bash
meteo nearby 50.1109 8.6821                  # Nearest stations (default: 5 within 5 km)  
meteo nearby 50.1109 8.6821 --limit 10       # Return up to 10 stations  
meteo nearby 50.1109 8.6821 --radius 20000   # Search within 20 km  
meteo nearby 50.1109 8.6821 --format json    # JSON output
```

--------------------------------

### Query Hourly Data with cURL

Source: https://dev.meteostat.net/api/stations/hourly

Example using cURL to request hourly data for a specific station and date. Replace {key} with your actual API key.

```bash
curl --request GET \
	--url 'https://meteostat.p.rapidapi.com/stations/hourly?station=10637&start=2020-01-01&end=2020-01-01&tz=Europe%2FBerlin' \
	--header 'x-rapidapi-host: meteostat.p.rapidapi.com' \
	--header 'x-rapidapi-key: {key}'  
```

--------------------------------

### Interpolate Daily Weather Data

Source: https://dev.meteostat.net/python/interpolation

Fetches daily weather data from nearby stations and interpolates it for a specific point. Ensure you have the 'meteostat' library installed.

```python
from datetime import date
import meteostat as ms

# Specify location and time range
POINT = ms.Point(50.1155, 8.6842, 113)  # Try with your location
START = date(2018, 1, 1)
END = date(2018, 12, 31)

# Get nearby weather stations
stations = ms.stations.nearby(POINT, limit=4)

# Get daily data & perform interpolation
ts = ms.daily(stations, START, END)
df = ms.interpolate(ts, POINT).fetch()

print(df)
```

--------------------------------

### Request Climate Normals via cURL

Source: https://dev.meteostat.net/api/stations/normals

Example command to fetch climate normals for a specific station and time period. Replace {key} with your actual API key.

```bash
curl --request GET \
	--url 'https://meteostat.p.rapidapi.com/stations/normals?station=10637&start=1961&end=1990' \
	--header 'x-rapidapi-host: meteostat.p.rapidapi.com' \
	--header 'x-rapidapi-key: {key}'
```

--------------------------------

### Fetch Daily Weather Data as DataFrame

Source: https://dev.meteostat.net/python/api/meteostat.TimeSeries.fetch

Use this snippet to retrieve daily weather data for a specified location and time range. Ensure you have the meteostat library installed and import necessary modules like datetime and meteostat.

```python
from datetime import date
import meteostat as ms

# Specify time range
START = date(2018, 1, 1)
END = date(2018, 12, 31)

# Get daily data
ts = ms.daily('10637', START, END)

# Fetch the data
df = ts.fetch()

# Print the DataFrame
print(df)
```

--------------------------------

### Plot 2018 Temperature Data for Frankfurt

Source: https://dev.meteostat.net/python

This example demonstrates how to retrieve and plot daily temperature data for a specific location in 2018. It requires specifying a geographical point, a time range, fetching nearby weather stations, interpolating data, and then plotting the results using matplotlib.

```python
from datetime import date
import matplotlib.pyplot as plt
import meteostat as ms

# Specify location and time range
POINT = ms.Point(50.1155, 8.6842, 113)  # Try with your location
START = date(2018, 1, 1)
END = date(2018, 12, 31)

# Get nearby weather stations
stations = ms.stations.nearby(POINT, limit=4)

# Get daily data & perform interpolation
ts = ms.daily(stations, START, END)
df = ms.interpolate(ts, POINT).fetch()

# Plot line chart including average, minimum and maximum temperature
df.plot(y=[ms.Parameter.TEMP, ms.Parameter.TMIN, ms.Parameter.TMAX])
plt.show()
```

--------------------------------

### Fetch Monthly Weather Data with cURL

Source: https://dev.meteostat.net/api/stations/monthly

Use this cURL command to query the Meteostat API for monthly weather data. Replace `{key}` with your actual API key. Ensure you have the cURL command-line interface installed.

```bash
curl --request GET \
	--url 'https://meteostat.p.rapidapi.com/stations/monthly?station=10637&start=2020-01-01&end=2020-12-31' \
	--header 'x-rapidapi-host: meteostat.p.rapidapi.com' \
	--header 'x-rapidapi-key: {key}'  
```

--------------------------------

### Query Daily Weather Data with cURL

Source: https://dev.meteostat.net/api/point/daily

Use this cURL command to fetch daily weather data for a specific location and date range. Replace {key} with your personal RapidAPI key. Ensure you have cURL installed.

```bash
curl --request GET \
	--url 'https://meteostat.p.rapidapi.com/point/daily?lat=43.6667&lon=-79.4&start=2020-01-01&end=2020-01-31&alt=184' \
	--header 'x-rapidapi-host: meteostat.p.rapidapi.com' \
	--header 'x-rapidapi-key: {key}'  
```

--------------------------------

### GET meteostat.stations.inventory

Source: https://dev.meteostat.net/python/stations/inventory

Retrieves the start and end dates for which data is available at a specific weather station.

```APIDOC
## GET meteostat.stations.inventory

### Description
Retrieves information about the time range for which data is available at the specified station. Inventory data is both provider and parameter specific.

### Endpoint
meteostat.stations.inventory(station_id)

### Parameters
#### Path Parameters
- **station_id** (string) - Required - The unique identifier for the weather station.

### Response
- **start** (date) - The start date of available data.
- **end** (date) - The end date of available data.

### Request Example
```python
import meteostat as ms
STATION = '71624'
inventory = ms.stations.inventory(STATION)
```

### Response Example
```json
{
  "start": "1937-11-01",
  "end": "2025-12-31"
}
```

--------------------------------

### GET /stations/normals

Source: https://dev.meteostat.net/api/stations/normals

Fetches climate normals for a specified weather station. You can optionally provide a start and end year to define the reference period and choose the unit system for the returned meteorological parameters.

```APIDOC
## GET /stations/normals

### Description
Retrieves climate normals for a specified weather station. Climate normals represent the typical monthly weather at a given location, calculated over a reference period.

### Method
GET

### Endpoint
https://meteostat.p.rapidapi.com/stations/normals

### Parameters
#### Query Parameters
- **station** (String) - Required - The weather station ID.
- **start** (String) - Optional - The start year (YYYY) of the period. Defaults to null.
- **end** (String) - Optional - The end year (YYYY) of the period. Defaults to null.
- **units** (String) - Optional - The unit system of the meteorological parameters. Accepted values: `metric`, `imperial`, `scientific`. Defaults to `metric`.

### Request Example
```bash
curl --request GET \
	--url 'https://meteostat.p.rapidapi.com/stations/normals?station=10637&start=1961&end=1990' \
	--header 'x-rapidapi-host: meteostat.p.rapidapi.com' \
	--header 'x-rapidapi-key: {key}'
```

### Response
#### Success Response (200)
- **data** (Array) - An array containing twelve objects, one for each month, with the following properties:
  - **month** (Integer) - The integer number of the month (1 to 12).
  - **tavg** (Float) - The mean temperature in °C (or Fahrenheit/Kelvin based on `units`).
  - **tmin** (Float) - The average minimum temperature in °C (or Fahrenheit/Kelvin based on `units`).
  - **tmax** (Float) - The average maximum temperature in °C (or Fahrenheit/Kelvin based on `units`).
  - **prcp** (Integer) - The average total precipitation in mm (or Inches based on `units`).
  - **pres** (Float) - The average sea-level air pressure in hPa.
  - **tsun** (Integer) - The average sunshine duration in minutes.
- **meta** (Object) - Metadata about the request.
  - **exec_time** (Float) - Execution time of the request in seconds.
  - **generated** (String) - Timestamp when the data was generated.

#### Response Example
```json
{
  "meta": {
    "exec_time": 0.885,
    "generated": "2021-06-23 12:14:35"
  },
  "data": [
    {
      "month": 1,
      "tavg": 0.5,
      "tmin": -2.2,
      "tmax": 3.2,
      "prcp": 43.8,
      "pres": 1018,
      "tsun": 2454
    },
    {
      "month": 2,
      "tavg": 1.7,
      "tmin": -1.6,
      "tmax": 5,
      "prcp": 39.8,
      "pres": 1017.5,
      "tsun": 4494
    }
    // ... more months
  ]
}
```
```

--------------------------------

### Run All Tests

Source: https://dev.meteostat.net/python/contributing/testing

Execute the entire test suite for unit and integration tests. Navigate to the repository root and use this command.

```bash
poetry run pytest tests/unit/ tests/integration/
```

--------------------------------

### GET /point/normals

Source: https://dev.meteostat.net/api/point/normals

Fetches climate normals for a specific geographic point.

```APIDOC
## GET /point/normals

### Description
Retrieves climate normals (long-term average weather data) for a specified geographic location.

### Method
GET

### Endpoint
https://meteostat.p.rapidapi.com/point/normals

### Parameters
#### Query Parameters
- **lat** (Float) - Required - The latitude of the geographic location.
- **lon** (Float) - Required - The longitude of the geographic location.
- **alt** (Integer) - Optional - The elevation of the geographic location. If not set, Meteostat will use its own elevation model.
- **units** (String) - Optional - The unit system for meteorological parameters. Accepted values: `metric`, `imperial`, `scientific`. Defaults to `metric`.
- **start** (Integer) - Optional - The first year (YYYY) of the reference period for calculating normals.
- **end** (Integer) - Optional - The last year (YYYY) of the reference period for calculating normals.

### Request Example
```bash
curl --request GET \
     --url 'https://meteostat.p.rapidapi.com/point/normals?lat=59.9127&lon=10.7461&alt=26&start=1961&end=1990' \
     --header 'x-rapidapi-host: meteostat.p.rapidapi.com' \
     --header 'x-rapidapi-key: {key}'
```

### Response
#### Success Response (200)
- **start** (Integer) - The first year (YYYY) of the period.
- **end** (Integer) - The last year (YYYY) of the period.
- **month** (Integer) - The month (1-12).
- **tavg** (Float) - The average daily air temperature (°C).
- **tmin** (Float) - The average daily minimum air temperature (°C).
- **tmax** (Float) - The average daily maximum air temperature (°C).
- **prcp** (Float) - The monthly precipitation total (mm).
- **wspd** (Float) - The average wind speed (km/h).
- **pres** (Float) - The average sea-level air pressure (hPa).
- **tsun** (Integer) - The monthly sunshine total (minutes).

#### Response Example
```json
{
  "month": 1,
  "tavg": -3.8,
  "tmin": -6.3,
  "tmax": -1.3,
  "prcp": 50.9,
  "wspd": null,
  "pres": 1011.3,
  "tsun": 2400
}
```
```

--------------------------------

### GET /stations/meta

Source: https://dev.meteostat.net/api

Retrieves metadata for a specific weather station using its ID.

```APIDOC
## GET /stations/meta

### Description
Retrieves metadata information for a specific weather station.

### Method
GET

### Endpoint
https://meteostat.p.rapidapi.com/stations/meta

### Parameters
#### Query Parameters
- **id** (string) - Required - The unique identifier for the weather station.

### Request Example
curl --request GET \
  --url 'https://meteostat.p.rapidapi.com/stations/meta?id=10637' \
  --header 'x-rapidapi-host: meteostat.p.rapidapi.com' \
  --header 'x-rapidapi-key: {key}'

### Response
#### Success Response (200)
- **meta** (object) - General information about the data output.
- **data** (object) - The actual station metadata output.
```

--------------------------------

### GET /stations/nearby

Source: https://dev.meteostat.net/api/stations/nearby

Finds weather stations near a specified geographic location.

```APIDOC
## GET /stations/nearby

### Description
This endpoint enables users to find nearby weather stations by geo location. When calling this endpoint, make sure to provide valid geographic coordinates (decimal degrees) using the `lat` (latitude) and `lon` (longitude) parameters. The `limit` parameter allows us to specify the maximum number of weather stations returned by this endpoint. By default, the endpoint only returns weather stations which are closer than 100 kilometers to the specified geo location. If you want to limit your query to a certain radius, just set the `radius` parameter to any integer value.

### Method
GET

### Endpoint
https://meteostat.p.rapidapi.com/stations/nearby

### Parameters
#### Query Parameters
- **lat** (Float) - Required - The latitude of the location
- **lon** (Float) - Required - The longitude of the location
- **limit** (Integer) - Optional - The maximum number of results (Default: 10)
- **radius** (Integer) - Optional - The radius of the query in meters (Default: 100000)

### Request Example
```bash
curl --request GET \
	--url 'https://meteostat.p.rapidapi.com/stations/nearby?lat=51.5085&lon=-0.1257&limit=5' \
	--header 'x-rapidapi-host: meteostat.p.rapidapi.com' \
	--header 'x-rapidapi-key: {key}'
```

### Response
#### Success Response (200)
- **meta** (Object) - Metadata about the request.
  - **exec_time** (Float) - Execution time of the request in seconds.
  - **generated** (String) - Timestamp when the response was generated.
- **data** (Array) - An array of nearby weather stations.
  - **id** (String) - The Meteostat ID of the weather station.
  - **name** (Object) - Name of the weather station in different languages.
  - **distance** (Float) - The distance to the provided geo location in meters.

#### Response Example
```json
{
  "meta": {
    "exec_time": 0.172,
    "generated": "2021-06-23 18:36:46"
  },
  "data": [
    {
      "id": "03779",
      "name": {
        "en": "London Weather Centre"
      },
      "distance": 1104.3
    },
    {
      "id": "EGLC0",
      "name": {
        "en": "London / Abbey Wood"
      },
      "distance": 16804.1
    },
    {
      "id": "03672",
      "name": {
        "en": "Northolt"
      },
      "distance": 20652.3
    },
    {
      "id": "03772",
      "name": {
        "en": "London Heathrow Airport"
      },
      "distance": 22624.4
    },
    {
      "id": "03781",
      "name": {
        "en": "Kenley"
      },
      "distance": 23370
    }
  ]
}
```
```

--------------------------------

### Load configuration from environment variables

Source: https://dev.meteostat.net/python/api/meteostat.config.load_env

Demonstrates setting environment variables before calling load_env to update the Meteostat configuration.

```python
import os  
import meteostat as ms  
  
# Set environment variables  
os.environ['MS_CACHE_DIRECTORY'] = '/custom/cache'  
os.environ['MS_CACHE_TTL'] = '86400'  
os.environ['MS_BLOCK_LARGE_REQUESTS'] = 'false'  
  
# Load configuration from environment  
ms.config.load_env()  
  
# Configuration is now updated from environment variables  
print(ms.config.cache_directory)      # Output: /custom/cache  
print(ms.config.cache_ttl)            # Output: 86400  
print(ms.config.block_large_requests) # Output: False
```

--------------------------------

### GET /stations/daily

Source: https://dev.meteostat.net/api/stations/daily

Retrieves historical daily weather statistics for a specific weather station.

```APIDOC
## GET https://meteostat.p.rapidapi.com/stations/daily

### Description
Provides historical daily statistics for a particular weather station. Data is aggregated from multiple governmental interfaces.

### Method
GET

### Endpoint
https://meteostat.p.rapidapi.com/stations/daily

### Parameters
#### Query Parameters
- **station** (String) - Required - The weather station ID
- **start** (String) - Required - The start date of the query (YYYY-MM-DD)
- **end** (String) - Required - The end date of the query (YYYY-MM-DD)
- **model** (String) - Optional - Substitute missing records with statistically optimized model data (Default: true)
- **freq** (String) - Optional - The time frequency of the records
- **units** (String) - Optional - The unit system (metric, imperial, scientific) (Default: metric)

### Response
#### Success Response (200)
- **date** (String) - The date string (YYYY-MM-DD)
- **tavg** (Float) - The average air temperature in °C
- **tmin** (Float) - The minimum air temperature in °C
- **tmax** (Float) - The maximum air temperature in °C
- **prcp** (Float) - The daily precipitation total in mm
- **snow** (Integer) - The maximum snow depth in mm
- **wdir** (Integer) - The average wind direction in degrees (°)
- **wspd** (Float) - The average wind speed in km/h
- **wpgt** (Float) - The peak wind gust in km/h
- **pres** (Float) - The average sea-level air pressure in hPa
- **tsun** (Integer) - The daily sunshine total in minutes (m)

#### Response Example
{
  "date": "2020-02-01",
  "tavg": 11.4,
  "tmin": 7.8,
  "tmax": 12.8,
  "prcp": 10.1,
  "snow": 0,
  "wdir": 210,
  "wspd": 22.3,
  "wpgt": 126,
  "pres": 1009.6,
  "tsun": 0
}
```

--------------------------------

### GET /point/daily

Source: https://dev.meteostat.net/api/point/daily

Retrieves historical daily weather statistics for a specific geographic location.

```APIDOC
## GET https://meteostat.p.rapidapi.com/point/daily

### Description
Provides historical daily statistics for any geographic location. Data can be queried for a maximum of 10 years per request.

### Method
GET

### Endpoint
https://meteostat.p.rapidapi.com/point/daily

### Parameters
#### Query Parameters
- **lat** (Float) - Required - The latitude of the geographic location
- **lon** (Float) - Required - The longitude of the geographic location
- **alt** (Integer) - Optional - The elevation of the geographic location
- **start** (String) - Required - The start date of the query (YYYY-MM-DD)
- **end** (String) - Required - The end date of the query (YYYY-MM-DD)
- **model** (String) - Optional - Substitute missing records with statistically optimized model data (default: true)
- **freq** (String) - Optional - The time frequency of the records
- **units** (String) - Optional - The unit system (metric, imperial, scientific) (default: metric)

### Request Example
curl --request GET \
	--url 'https://meteostat.p.rapidapi.com/point/daily?lat=43.6667&lon=-79.4&start=2020-01-01&end=2020-01-31&alt=184' \
	--header 'x-rapidapi-host: meteostat.p.rapidapi.com' \
	--header 'x-rapidapi-key: {key}'

### Response
#### Success Response (200)
- **date** (String) - The date string (YYYY-MM-DD)
- **tavg** (Float) - The average air temperature in °C
- **tmin** (Float) - The minimum air temperature in °C
- **tmax** (Float) - The maximum air temperature in °C
- **prcp** (Float) - The daily precipitation total in mm
- **snow** (Integer) - The maximum snow depth in mm
- **wdir** (Integer) - The average wind direction in degrees (°)
- **wspd** (Float) - The average wind speed in km/h
- **wpgt** (Float) - The peak wind gust in km/h
- **pres** (Float) - The average sea-level air pressure in hPa
- **tsun** (Integer) - The daily sunshine total in minutes (m)

#### Response Example
{
  "date": "2020-02-01",
  "tavg": 11.4,
  "tmin": 7.8,
  "tmax": 12.8,
  "prcp": 10.1,
  "snow": 0,
  "wdir": 210,
  "wspd": 22.3,
  "wpgt": 126,
  "pres": 1009.6,
  "tsun": 0
}
```

--------------------------------

### GET meteostat.stations.nearby

Source: https://dev.meteostat.net/python/stations/nearby

Retrieves a list of weather stations near a specified latitude and longitude point.

```APIDOC
## GET meteostat.stations.nearby

### Description
Finds weather stations near a specific geographical point defined by latitude and longitude.

### Method
GET

### Endpoint
meteostat.stations.nearby

### Parameters
#### Path Parameters
- **point** (Point object) - Required - The geographical location defined by latitude, longitude, and optional elevation.

#### Query Parameters
- **limit** (integer) - Optional - The maximum number of stations to return.

### Request Example
```python
import meteostat as ms
POINT = ms.Point(50.1155, 8.6842, 113)
stations = ms.stations.nearby(POINT, limit=4)
```

### Response
#### Success Response (200)
- **stations** (DataFrame) - A list of nearby weather stations including name, country, region, latitude, longitude, elevation, timezone, and distance.
```

--------------------------------

### Nearby Stations Endpoint URL

Source: https://dev.meteostat.net/api/stations/nearby

The base URL for the GET request to retrieve nearby weather stations.

```text
GET https://meteostat.p.rapidapi.com/stations/nearby
```

--------------------------------

### Format the codebase

Source: https://dev.meteostat.net/python/contributing/linting

Execute this command to automatically fix linting issues and format the entire codebase according to Ruff's standards.

```bash
poetry run ruff format  
```

--------------------------------

### Nearby Stations cURL Request

Source: https://dev.meteostat.net/api/stations/nearby

Example request using cURL. Replace {key} with your personal API key.

```bash
curl --request GET \
	--url 'https://meteostat.p.rapidapi.com/stations/nearby?lat=51.5085&lon=-0.1257&limit=5' \
	--header 'x-rapidapi-host: meteostat.p.rapidapi.com' \
	--header 'x-rapidapi-key: {key}'
```

--------------------------------

### GET /stations/meta

Source: https://dev.meteostat.net/api/stations/meta

Retrieves metadata for a specific weather station identified by its Meteostat ID, WMO ID, or ICAO ID.

```APIDOC
## GET https://meteostat.p.rapidapi.com/stations/meta

### Description
Provides information describing a specific weather station, including latitude, longitude, elevation, and data availability.

### Method
GET

### Endpoint
https://meteostat.p.rapidapi.com/stations/meta

### Parameters
#### Query Parameters
- **id** (String) - Optional - The Meteostat ID of the weather station
- **wmo** (Integer) - Optional - The WMO ID of the weather station
- **icao** (String) - Optional - The ICAO ID of the weather station

### Response
#### Success Response (200)
- **id** (String) - Meteostat ID
- **name** (Object) - Name in different languages
- **country** (String) - ISO 3166-1 alpha-2 country code
- **region** (String) - ISO 3166-2 state or region code
- **identifiers** (Object) - National, WMO, and ICAO IDs
- **location** (Object) - Latitude, longitude, and elevation
- **timezone** (String) - Time zone
- **inventory** (Object) - Available data by frequency (model, hourly, daily, monthly, normals)

#### Response Example
{
  "meta": {
    "exec_time": 0.003,
    "generated": "2021-06-21 18:23:58"
  },
  "data": {
    "id": "10637",
    "name": {
      "de": "Frankfurt Flughafen",
      "es": "Aeropuerto de Fráncfort",
      "en": "Frankfurt Airport"
    },
    "country": "DE",
    "region": "HE",
    "identifier": {
      "national": "01420",
      "wmo": "10637",
      "icao": "EDDF"
    },
    "location": {
      "latitude": 50.05,
      "longitude": 8.6,
      "elevation": 111
    },
    "timezone": "Europe/Berlin",
    "inventory": {
      "model": { "start": "2018-01-28", "end": "2021-06-29" },
      "hourly": { "start": "1926-01-01", "end": "2021-06-20" },
      "daily": { "start": "1934-05-01", "end": "2021-06-18" },
      "monthly": { "start": 1934, "end": 2021 },
      "normals": { "start": 1961, "end": 2020 }
    }
  }
}
```

--------------------------------

### Fetch Monthly Data with Specific Parameters

Source: https://dev.meteostat.net/cli/timeseries/monthly

Retrieve monthly weather summaries for a station, specifying the desired parameters (e.g., average temperature, precipitation).

```bash
meteo monthly 10637 -s 2020 -e 2024 --parameters tavg,prcp  
```

--------------------------------

### Meteostat CLI Configuration Usage

Source: https://dev.meteostat.net/cli/configuration

General syntax for configuring Meteostat CLI settings.

```bash
meteo config [KEY VALUE] [OPTIONS]
```

--------------------------------

### GET Monthly Data

Source: https://dev.meteostat.net/data/timeseries/monthly

Retrieves a GZ compressed CSV file containing monthly weather data for a specified weather station.

```APIDOC
## GET /monthly/{station}.csv.gz

### Description
This endpoint provides one GZ compressed CSV file per weather station, including model data as a substitute for missing observations.

### Method
GET

### Endpoint
https://data.meteostat.net/monthly/{station}.csv.gz

### Parameters
#### Path Parameters
- **station** (string) - Required - The ID of the weather station.

### Request Example
(No request body for this endpoint)

### Response
#### Success Response (200)
A GZ compressed CSV file containing monthly weather data.

#### Response Example
(Binary data - CSV content)

### Data Structure
CSV files use commas as separators and include a header row. Each data column has a corresponding source column with the `_source` suffix. Monthly data may be aggregated from multiple sources; in such cases, the source column will list the data source IDs separated by a single whitespace.
```

--------------------------------

### Hourly Data API Endpoint

Source: https://dev.meteostat.net/api/stations/hourly

Use this GET endpoint to retrieve hourly weather observations. The maximum query range is 30 days.

```http
GET https://meteostat.p.rapidapi.com/stations/hourly  
```

--------------------------------

### Lint the entire codebase

Source: https://dev.meteostat.net/python/contributing/linting

Run this command in the root directory to analyze the entire codebase for linting issues.

```bash
poetry run ruff check  
```

--------------------------------

### Fetch Monthly Data and Output to Excel

Source: https://dev.meteostat.net/cli/timeseries/monthly

Retrieve monthly weather summaries and export the data directly to an Excel file.

```bash
meteo monthly 10637 -s 2020 -e 2024 --output data.xlsx  
```

--------------------------------

### Fetch Specific Daily Data Parameters

Source: https://dev.meteostat.net/cli/timeseries/daily

Retrieve specific weather parameters (e.g., average temperature, min/max temperature, precipitation) for a station within a date range.

```bash
meteo daily 10637 -s 2024-01-01 -e 2024-12-31 --parameters tavg,tmin,tmax,prcp  
```

--------------------------------

### Configure MCP Server in Agent

Source: https://dev.meteostat.net/api/mcp

Add this configuration to your AI agent's settings to connect to the Meteostat MCP server. Replace 'YOUR_RAPIDAPI_KEY' with your actual RapidAPI key.

```json
{
  "mcpServers": {
    "meteostat": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.rapidapi.com",
        "--header",
        "x-api-host: meteostat.p.rapidapi.com",
        "--header",
        "x-api-key: YOUR_RAPIDAPI_KEY"
      ]
    }
  }
}

```

--------------------------------

### Fetch Hourly Weather Data with Python

Source: https://dev.meteostat.net/python/timeseries/hourly

Uses the Meteostat library to retrieve and display hourly weather observations for a specific station and date range.

```python
# Import Meteostat library and dependencies  
from datetime import datetime  
import meteostat as ms  
  
# Set time period  
start = datetime(2018, 1, 1)  
end = datetime(2018, 12, 31, 23, 59)  
  
# Get hourly data  
ts = ms.hourly(ms.Station(id='72219'), start, end)  
df = ts.fetch()  
  
# Print DataFrame  
print(df)
```