Extracting all rows from pandas Dataframe that have certain value in a specific column

You can test which Values are True:

In [11]: data['Value'] == True
Out[11]:
0     True
1    False
2     True
3     True
4    False
Name: Value, dtype: bool

and then use fancy indexing to pull out those rows:

In [12]: data[data['Value'] == True]
Out[12]:
   Position Letter Value
0         1      a  True
2         3      c  True
3         4      d  True

*Note: if the values are actually the strings 'TRUE' and 'FALSE' (they probably shouldn't be!) then use:

data['Value'] == 'TRUE'

You can wrap your value/values in a list and do the following:

new_df = df.loc[df['yourColumnName'].isin(['your', 'list', 'items'])]

This will return a new dataframe consisting of rows where your list items match your column name in df.