select rows based on column value pandas code example

Example 1: pandas get row from column value

df.loc[df['column_name'] == some_value]

Example 2: fetch row where column is equal to a value pandas

df.loc[df['column_name'] == 'value']

Example 3: only keep rows of a dataframe based on a column value

df.loc[df['column_name'] == some_value]

Example 4: select rows which entries equals one of the values pandas

In[10]: df
Name     Amount
---------------
Alice       100
Bob          50
Charlie     200
Alice        30
Charlie      10

In [11]: df['Name'].isin(['Alice', 'Bob'])
Out[11]: 
0     True
1     True
2    False
3     True
4    False
Name: Name, dtype: bool

In [12]: df[df.Name.isin(['Alice', 'Bob'])]
Out[12]: 
    Name  Amount
0  Alice     100
1    Bob      50
3  Alice      30

Example 5: only keep rows of a dataframe based on a column value

df.loc[(df['column_name'] >= A) & (df['column_name'] <= B)]