Can I use Python built-in variables for Seaborn plots

[exekutive]

say I create a dataclass for recording some data...

    @dataclass
    class HourlyReading:
        temperature     float
        pressure        float

I create a list of my dataclass instances and regularly add data to it ...

    stationA_meteorology = []

    stationA_meteorology.append(HourlyReading(234,456))
    stationA_meteorology.append(HourlyReading(345,345))
    stationA_meteorology.append(HourlyReading(234,245))

Can I use my list as direct input to sns.lineplot to plot for instance, a graph of temperature values?

[exekutive]

I don't think it is possible to use a dataclass.

Plain and nested lists work ...

import seaborn as sns

list_temp = [1, 2, 4, 8, 16, 32]
list_press = [1, 3, 9, 27, 81, 243]
hourly_reading = [list_temp, list_press]

sns.lineplot(list_temp)
sns.lineplot(data=hourly_reading)

... however you lose the series names. In the legend they will appear as generic index numbers (0, 1, 2 ...)

Dictionaries work better:

met_dict = {"Temperatures": list_temp, "Pressures": list_press}
sns.lineplot(met_dict)