How to find if a value unique to first data frame when comparing to another data frame

Question

For example, I have 2 dataframes with 2 columns:

df1              df2
AAA  BBB         AAA  KKK
BBB  CCC         BBB  LLL
CCC  FFF         CCC  FFF 
DDD  None        None None

I want to spot whats on df1 is not in df2, then the result is DDD (exclude None). How can I achieve this?

Asked By: beginner

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Source

Answer 1

import pandas as pd

df1 = pd.DataFrame([['AAA', 'BBB'], ['BBB', 'CCC'], ['CCC', 'FFF'], ['DDD', None]])
df2 = pd.DataFrame([['AAA', 'KKK'], ['BBB', 'LLL'], ['CCC', 'FFF'], [None, None]])

df1_uniq = []
df2_uniq = []
for col in df1.columns:
  for string in df1[col].unique():
    df1_uniq.append(string)
for col in df2.columns:
  for string in df2[col].unique():
    df2_uniq.append(string)

result = [x for x in df1_uniq if not x in df2_uniq]
print(result)

Answered By: Chanran Kim

How to find if a value unique to first data frame when comparing to another data frame

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