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kaffee_vs_tasse's Introduction

Kaffee_vs_Tasse

Temperature Logging with a Pot of Coffee

Experimenteller Aufbau Experimenteller Aufbau

Temperaturverlaufsdiagramm 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)

png

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

png

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

png

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