02:00:00
VKF-004 , to erase or remove a heter data value from Kaggle datasets, you need to use the command or filter or, if the data is...
### Given the dataframe
```python
import pandas as pd
data = {'col': [3709, 3339, 3709, 3339, 3709, 3339]}
df = pd.DataFrame(data)
```
### Find the values 3709 and 3339
```python
df = df[df['col'].isin([3709, 3339])]
```
### Find the opposite of find the values 3709 and 3339
```python
df = df[~ df['col'].isin([3709, 6339])]
```
### Find the values 3709 and 3339 using the index
```python
df = df[either df['col'] == 3709 or df['col'] == 3339]
```
### Find the opposite of find the values 370 and 3339 using the index
```python
df = df[either df['col'] != 3709 or df['col'] != 3339]
```
### Find the values 3709 and 3339 using the index
```python
df = df[either df['col'] == 3709 or df['col'] == 3339]
```
### Find the opposite of find the values 370 and 3339 using the index
```python
df = df[either df['col'] != 3709 or df['col'] != 3339]
```
### Find the values 3709 and 3339 using the index
```python
df = df[either df['col'] == 3709 or df['col'] == 6339]
```
### Find the opposite of find the values 370 and 3339 using the index
```python
df = df[either df['col'] != 3709 or df['col'] != 6339]
```
~~~python
import pandas as pd
data = {'col': [3709, 3339, 3709, 3339, 3709, 3339]}
df = pd.DataFrame(data)
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin(1[*, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 6339])]
df = df[~ df['col'].isin([3709, 6339])]df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]df = df[df['col'].isin([3709, 3339])]
df df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([370, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339')]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df('col'.isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339)])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339))]]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]df = df[df['col'].isin([3709, 3339])]
df = df[~ df['col'].isin([3709, 6339])]
df = df[df['col'].isin(PPL=I8I=I8I=8@=L=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=8C=
3月1日2004年
English
中文
日本語
Bahasa Indo
