remove rows pandas based on another dataframe code example

Example 1: pandas dataframe remove rows by column value

df = df[df.line_race != 0]

Example 2: remove rows from a dataframe that are present in another dataframe?

df.loc[~((df.Product_Num.isin(df2['Product_Num']))&(df.Price.isin(df2['Price']))),:]
Out[246]: 
    Product_Num     Date  Description  Price
0            10   1-1-18  FruitSnacks   2.99
1            10   1-2-18  FruitSnacks   2.99
4            10  1-10-18  FruitSnacks   2.99
5            45   1-1-18       Apples   2.99
6            45   1-3-18       Apples   2.99
7            45   1-5-18       Apples   2.99
11           45  1-15-18       Apples   2.99

Example 3: how to combine delete rows based on condition on another dataframe

import pandas as pd

USERS = pd.DataFrame({'email':['[email protected]','[email protected]','[email protected]','[email protected]','[email protected]']})
print (USERS)
     email
0  [email protected]
1  [email protected]
2  [email protected]
3  [email protected]
4  [email protected]

EXCLUDE = pd.DataFrame({'email':['[email protected]','[email protected]']})
print (EXCLUDE)
     email
0  [email protected]
1  [email protected]

Example 4: how to combine delete rows based on condition on another dataframe

print (USERS.email.isin(EXCLUDE.email))
0     True
1    False
2    False
3    False
4     True
Name: email, dtype: bool

print (~USERS.email.isin(EXCLUDE.email))
0    False
1     True
2     True
3     True
4    False
Name: email, dtype: bool

print (USERS[~USERS.email.isin(EXCLUDE.email)])
     email
1  [email protected]
2  [email protected]
3  [email protected]