30 lines
811 B
Python
30 lines
811 B
Python
import pandas as pd
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import numpy as np
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epd = pd.read_csv("epd.csv", sep=";")
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data = (
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pd.read_csv("details.csv", sep=";")
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[lambda x: (x['produkt_name'].str.contains('Cement', na=False)) & (x['umwelteinwirkung_id'] == '6a37f984-a4b3-458a-a20a-64418c145fa2')]
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.merge(epd)
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)
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rezept = (
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pd.DataFrame({
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'Artikelname': ['Zement 1', 'Zement 2', 'Zement 3'],
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'uuid': [
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'55af842c-7d33-4d0c-b33b-ac7564e573bf',
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'49b9328a-3e77-4cea-98b8-5704a7b24883',
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'a6376437-3772-4938-b7bb-d97b60628f11'
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],
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'menge': [80, 90, 100]
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}) # <--- Hier muss die Klammer vom DataFrame zu!
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.merge(data)
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.assign(
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result = lambda x: x['wert'] * x['menge']
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)
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.groupby('umwelteinwirkung')['result']
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.sum()
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.reset_index()
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)
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