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August 31, 2022 06:13
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Pandas Wetter Beispiel
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import pandas as pd | |
df = pd.read_csv('wetter-salzburg-2021.csv', index_col=0) | |
df | |
# ---------- | |
import matplotlib.pyplot as plt | |
ax = df['tmax'].plot(color='tab:red', title="Temperatur Salzburg") | |
ax.set_ylabel('average temperature in °C') | |
plt.savefig('wetter-salzburg-2021.png') | |
plt.show() |
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time | tavg | tmin | tmax | prcp | wspd | pres | tsun | |
---|---|---|---|---|---|---|---|---|
2021-01-01 | -0.1 | -2.5 | 2.9 | 64.0 | 10.5 | 1013.6 | 4020.0 | |
2021-02-01 | 2.8 | -1.6 | 9.1 | 47.0 | 10.1 | 1021.0 | 9120.0 | |
2021-03-01 | 4.1 | 0.1 | 9.9 | 54.0 | 1022.9 | 9660.0 | ||
2021-04-01 | 7.1 | 2.3 | 12.4 | 53.0 | 10.9 | 1018.0 | 11700.0 | |
2021-05-01 | 11.9 | 7.6 | 16.8 | 150.0 | 12.1 | 1014.2 | 10080.0 | |
2021-06-01 | 20.1 | 13.7 | 26.2 | 109.0 | 10.5 | 1015.9 | 18360.0 | |
2021-07-01 | 19.3 | 14.4 | 24.4 | 231.0 | 9.8 | 1014.4 | 14160.0 | |
2021-08-01 | 17.3 | 13.5 | 22.2 | 278.0 | 10.3 | 1016.2 | 10380.0 | |
2021-09-01 | 15.4 | 10.6 | 21.9 | 71.0 | 8.8 | 1019.3 | 14280.0 | |
2021-10-01 | 8.5 | 4.9 | 14.5 | 36.0 | 9.1 | 1021.4 | 10200.0 | |
2021-11-01 | 3.2 | 0.8 | 6.8 | 81.0 | 7.8 | 1018.0 | 3960.0 | |
2021-12-01 | 1.7 | -0.9 | 4.9 | 78.6 | 9.8 | 1018.2 |
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import pandas as pd | |
import matplotlib.pyplot as plt | |
df = pd.read_csv('wetter-salzburg-2021.csv', index_col=0) | |
print(df) | |
ax = df['tmax'].plot(color='tab:red', title="Temperatur Salzburg") | |
ax.set_ylabel('average temperature in °C') | |
plt.savefig('wetter-salzburg-2021.png') | |
plt.show() |
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