Kaffee_vs_Tasse

Temperature Logging with a Pot of Coffee

Experimenteller Aufbau

Temperaturverlaufsdiagramm

import pandas as pd

# experimental data points
df = pd.DataFrame.from_dict({'Time [min]':[0,1,2,3,4,5,6,10,20],
                             'Keramik (352g) [°C]':[95,81,78, 77,74,72,70,64,55],
                             'Standard Bürotasse (300g) [°C]':[95,85,82,76,75,73,71,66,55],
                             'Emaille (180g) [°C]':[95,88,81,78,75,74,71,65,54],
                            })
df = df.set_index('Time [min]')
parameters = {'Water (kg)':0.230, 'Gewicht (Tasse, kg)':[0.352,0.300,0.180]}
# additional data point
# 90ml Water after 1min has 76°C in a RT Keramik Tasse
display(df)

<style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; }

.dataframe tbody tr th {
    vertical-align: top;
}

.dataframe thead th {
    text-align: right;
}

</style>

	Keramik (352g) [°C]	Standard Bürotasse (300g) [°C]	Emaille (180g) [°C]
Time [min]
0	95	95	95
1	81	85	88
2	78	82	81
3	77	76	78
4	74	75	75
5	72	73	74
6	70	71	71
10	64	66	65
20	55	55	54

import seaborn as sns
ax = sns.lineplot(data=df)

ax = sns.lineplot(data=df[0:4])

ax = sns.lineplot(data=df)
ax.set_xscale("log")