Issue
I have this weird Pandas problem, when I use the apply function using values from a data frame, it only gets applied to the first row:
import pandas as pd
# main data frame - to be edited
headerData = [['dataA', 'dataB']]
valuesData = [[10, 20], [10, 20]]
dfData = pd.DataFrame(valuesData, columns = headerData)
dfData.to_csv('MainData.csv', index=False)
readMainDataCSV = pd.read_csv('MainData.csv')
print(readMainDataCSV)
#variable data frame - pull values from this to edit main data frame
headerVariables = [['varA', 'varB']]
valuesVariables = [[2, 10]]
dfVariables = pd.DataFrame(valuesVariables, columns = headerVariables)
dfVariables.to_csv('Variables.csv', index=False)
readVariablesCSV = pd.read_csv('Variables.csv')
readVarA = readVariablesCSV['varA']
readVarB = readVariablesCSV['varB']
def formula(x):
return (x / readVarA) * readVarB
dfFormulaApplied = readMainDataCSV.apply(lambda x: formula(x))
print('\n', dfFormulaApplied)
Output:
dataA dataB
0 50.0 100.0
1 NaN NaN
But when I just use regular variables (not being called from a data frame), it functions just fine:
import pandas as pd
# main data frame - to be edited
headerData = [['dataA', 'dataB']]
valuesData = [[10, 20], [20, 40]]
dfData = pd.DataFrame(valuesData, columns = headerData)
dfData.to_csv('MainData.csv', index=False)
readMainDataCSV = pd.read_csv('MainData.csv')
print(readMainDataCSV)
# variables
readVarA = 2
readVarB = 10
def formula(x):
return (x / readVarA) * readVarB
dfFormulaApplied = readMainDataCSV.apply(lambda x: formula(x))
print('\n', dfFormulaApplied)
Output:
dataA dataB
0 50.0 100.0
1 100.0 200.0
Help please I'm pulling my hair out.
Solution
If you take readVarA and readVarB from the dataframe by selecting the column it is a pandas Series with an index, which gives a problem in the calculation (dividing a series by another series with a different index doesn't work). You can take the first value from the series to get the value like this:
def formula(x):
return (x / readVarA[0]) * readVarB[0]
Answered By - pieterbons
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