Sergio Espejo - 3 months ago 14

Python Question

I have a dataframe which i want to use as the values in it as the "x" in the function

`0.00459652*np.exp(4.5*x)+0.000984312`

here is my code

`df=pd.read_csv('F:/Data32.csv')`

df2=df['Temperature']

x=df2.values.tolist()

test=df2.apply(0.00459652*np.exp(4.5*x)+0.000984312)

test

I keep getting the error

TypeError: can't multiply sequence by non-int of type 'float'

Answer

If you want to apply the function `0.00459652*np.exp(4.5*x)+0.000984312`

to each value in the `Temperature`

column, just put that column at the `x`

location:

```
test = 0.00459652*np.exp(4.5*df['Temperature'])+0.000984312
```

The reason why you get that error is that `x`

is a python list, which cannot be multiplied by a floating number (4.5 in this case). But `df['Temperature']`

can (it's a pandas.Series)

Also, `0.00459652*np.exp(4.5*x)+0.000984312`

is not a python function. You need `lambda x : 0.00459652*np.exp(4.5*x)+0.000984312`

Source (Stackoverflow)

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