Rename "None" value in Pandas

Question

This is probably super simple but I just can not find the answer. I import data using GeoPandas from a shape file. Turn that into pandas `DataFrame`. I have a object field with three letter codes and `None` values for missing data. How do I change `None`'s to something like "vcv" in pandas? I tried this ``` sala.replace(None,"vcv") ``` got this error ``` 2400 "strings or regular expressions, you " 2401 "passed a" -> 2402 " {0!r}".format(type(regex).__name__)) 2403 return self.replace(regex, value, inplace=inplace, limit=limit, 2404 regex=True) TypeError: 'regex' must be a string or a compiled regular expression or a list or dict of strings or regular expressions, you passed a 'bool' ``` Tried this ``` if sala['N10'] is None: sala['N10'] = 'Nul' ``` Does not change anything.

Accepted Answer

The simplest thing to do is just:

```
sala['N10'].replace('None', 'vcv', inplace=True)
```

that should work.

If they were true `NaN` values then calling `fillna` would've worked.

e.g.

```
sala['N10'].fillna(value='vcv', inplace = True)
```

also what I suggested in my comment:

```
sala.loc[sala['N10'].isnull(), 'N10'] = 'vcv'
```

Rename "None" value in Pandas

Solution

Problem