# Issue

*This Content is from Stack Overflow. Question asked by Bhawani Rabisankar Sahoo *

I want to locate a specific value which can occur in multiple columns . In my case it’s “False” .

I know how to search “False” in individual columns as

```
df.loc[df['column1']==False]
df.loc[df['column2']==False]
```

Is there a way to find all at once ?

```
Unnamed: 0 Incident ID CR Number Victims Zip Code Address Number Latitude Longitude Year Month Day
0 False False True True True True True True True True True
1 False True False False True True True True True True True
2 True True True True True True False True True True True
3 True True False True True True True True True True True
4 True True True True True True True True False True True
```

I want to see their locations .Hopefully something like

```
df.applymap.loc(False)
```

# Solution

If you want to get the indices `stack`

, then slice:

```
s = df.stack()
s[s.eq(False)].index
```

Or if you only have `True`

/`False`

:

```
s[~s].index
```

In one line:

```
df.stack().loc[lambda s: ~s].index
```

If you want to assign value(s) on the `False`

positions, a simple boolean indexing will do:

```
df[df.eq(False)] = 'X'`
# or, if only True/False in the df
df[~df] = 'X'`
```

This Question was asked in StackOverflow by Bhawani Rabisankar Sahoo and Answered by mozway It is licensed under the terms of CC BY-SA 2.5. - CC BY-SA 3.0. - CC BY-SA 4.0.