ShanZhengYang - 5 months ago 12

Python Question

Using Python 3.4, I have a Pandas Dataframe

`import pandas as pd`

df = pd.read_csv('file.csv')

df.head()

giving

`animal fraction_decimal`

0 cat1 '2/7'

1 cat2 '4/55'

2 cat3 '22/195'

3 cat4 '6/13'

....

I would like to evaluate the values in column

`fraction_decimal`

`animal fraction_decimal`

0 cat1 0.2857142857142857

1 cat2 0.07272727272727272

2 cat3 0.11282051282051282

3 cat4 0.46153846153846156

....

However, using

`.apply(eval)`

I tried

`df['fraction_decimal'].apply(eval)`

but this outputs:

`0 2/7`

1 4/55

2 22/195

3 6/13

....

Name: fraction_decimal, dtype: object

Why doesn't this work? How can this work properly?

Answer

```
eval("4/2")
2
```

```
eval("'4/2'")
'4/2'
```

```
eval(eval("'4/2/'"))
2
```

You have quote characters in your strings. You need to strip them out.

consider:

```
s = pd.Series(["'1/2'", "'3/4'", "'4/5'", "'6+5'", "'11-7'", "'9*10'"])
```

Then:

```
s.str.replace(r'[\'\"]', '').apply(eval)
0 0.50
1 0.75
2 0.80
3 11.00
4 4.00
5 90.00
dtype: float64
```