WHAT IS NEEDED

Based on the below image pick every individual color, for each category, and create a list

Example

colors_rain_accu =[(112,112,164),(138,147,189),(163,175,213),(185,194,226)]

How

Use a tool like "Color Pick Eyedropper", or any other, and retrieve the RGB value for each group
Add lists to app.py
Empty lists already have been created from line 193 to line 197

NOTES

Temp Max and Humidity Min have the same colors
Temp Min and Humidity Max have the same colors

After #4 we will need to integrate this on VOSTia's daily workflow, so that the image - and accompanying text - is posted on Twitter.
Facebook? If possible.

Problem

In order to be able to create three separate reports we will need to create three new dataframes:

• one for the Azores
• one for Madeira
• one for mainland Portugal

Suggestion

Try to determine location by longitude

Sources

Coordinates can be fetched from here (IPMA API) or here (Fogos API v2)

A github action needs to be programmed so that the script runs every morning, at 10:00am

@alexandrelezon will produce a new template to be the base for the automation

hum_max_** dataframe not sorted properly

Colors for both hum_min_** and temp_max_** not properly defined.

Script needs to print

• "ºC" for temperature,
• "Km/h" for wind gusts,
• "mm" for rain accumulation

This should also be done within the loops

The values and station names are now being calculated individually

# FIRST VALUE 
row = 0 
station_01 = four_temp_max.iloc[row].stationId
url_bar = f"https://api.fogos.pt/v2/weather/stations" \
f"?id={station_01}" 
# Get response from URL 
response_id = requests.get(url_bar)
# Get the json content from the response
json_id = response_id.json()
df_id = pd.json_normalize(json_id)
station_name_01 = str(df_id.location.values[0])
station_temp_01 = str(four_temp_max.iloc[row].temp_max)

Create an example loop function to be implemented for all needed values