Simon Righley - 7 months ago 37

Python Question

I have a column in python pandas DataFrame that has boolean True/False values, but for further calculations I need 1/0 representation. Is there a quick pandas/numpy way to do that?

EDIT:

The answers below do not seem to hold in the case of numpy that, given an array with both integers and True/False values, returns

`dtype=object`

`np_values = np.array(df.values, dtype = np.float64)`

Answer

`True`

is `1`

in Python, and likewise `False`

is `0`

^{*}:

```
>>> True == 1
True
>>> False == 0
True
```

You should be able to perform any operations you want on them by just treating them as though they were numbers, as they *are* numbers:

```
>>> issubclass(bool, int)
True
>>> True * 5
5
```

So to answer your question, no work necessary - you already have what you are looking for.

^{* Note I use is as an English word, not the Python keyword is - True will not be the same object as any random 1.}