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[英]Group by a column and count string in another column in Python Pandas dataframe
[英]Python Pandas - Cannot recognize a string from a column in another dataframe column
您可以通过apply
检查col_a
中的值是否在每行的col_b
:
df['res'] = df.apply(lambda x: x.col_a in x.col_b, axis=1)
或者通过列表理解:
df['res'] = [a in b for a, b in zip(df.col_a, df.col_b)]
编辑:错误显然意味着缺少值,所以if-else
语句是必要的:
df = pd.DataFrame({'col_a':['SQL','Java','C#', np.nan, 'Python', np.nan],
'col_b':['I.like_SQL_since_i_used_to_ETL',
'I like_programming_SQL.too',
'I prefer Java',
'I like beer',
np.nan,
np.nan]})
print (df)
df['res'] = df.apply(lambda x: x.col_a in x.col_b
if (x.col_a == x.col_a) and (x.col_b == x.col_b)
else False, axis=1)
df['res1'] = [a in b if (a == a) and (b == b) else False for a, b in zip(df.col_a, df.col_b)]
print (df)
col_a col_b res res1
0 SQL I.like_SQL_since_i_used_to_ETL True True
1 Java I like_programming_SQL.too False False
2 C# I prefer Java False False
3 NaN I like beer False False
4 Python NaN False False
5 NaN NaN False False
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