I am using pandas (v0.18.1) to import the following data from a file called 'test.csv':
a,b,c,d
1,1,1,1.0
I have set the dtype to 'decimal.Decimal' for columns 'c' and 'd' but instead they return as type 'str'.
import pandas as pd
import decimal as D
df = pd.read_csv('test.csv', dtype={'a': int, 'b': float, 'c': D.Decimal, 'd': D.Decimal})
for i, v in df.iterrows():
print(type(v.a), type(v.b), type(v.c), type(v.d))
Results:
`<class 'int'> <class 'float'> <class 'str'> <class 'str'>`
I have also tried converting to decimal explicitly after import with no luck (converting to float works but not decimal).
df.c = df.c.astype(float)
df.d = df.d.astype(D.Decimal)
for i, v in df.iterrows():
print(type(v.a), type(v.b), type(v.c), type(v.d))
Results:
`<class 'int'> <class 'float'> <class 'float'> <class 'str'>`
The following code converts a 'str' to 'decimal.Decimal' so I don't understand why pandas doesn't behave the same way.
x = D.Decimal('1.0')
print(type(x))
Results:
`<class 'decimal.Decimal'>`
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