filter df by column value

1# filter rows in a dataframe by a condition on a column
2
3df_filtered = df.loc[df['column'] == value]

1df.loc[df['column_name'] == some_value]
2

1df.loc[df['col name'].isin(ls_conditions)]

1# does year equals to 2002?
2# is_2002 is a boolean variable with True or False in it
3>is_2002 =  gapminder['year']==2002
4>print(is_2002.head())
50    False
61    False
72    False
83    False
94    False
10# filter rows for year 2002 using  the boolean variable
11>gapminder_2002 = gapminder[is_2002]
12>print(gapminder_2002.shape)
13(142, 6)

1filter = df['column']!= 0
2df = df[filter]

1# does year equals to 2002?
2# is_2002 is a boolean variable with True or False in it
3>is_2002 =  gapminder['year']==2002
4>print(is_2002.head())
50    False
61    False
72    False
83    False
94    False
10