Return a List Based on Multiple Filters from Multiple Dataframes-CodePudding

How do I return a list based on multiple filters from multiple dataframes? I have three dataframes:

df1

    Ticker  Company Name    COMBOACCRUAL
0   ABC ABC Co. 0.9
1   DEF DEF Co. 0.99
2   GHI GHI Co. 0.5

df2

    Ticker  Company Name    PMAN
0   ABC ABC Co. 0.7
1   DEF DEF Co. 0.3
2   GHI GHI Co. 0.55

df3

    Ticker  Company Name    PFD
0   ABC ABC Co. 0.25
1   DEF DEF Co. 0.35
2   GHI GHI Co. 0.9

and I want to apply filters COMBOACCRUAL<0.95, PMAN<0.95 and PFD<0.95 on the dataframes df1 df2 and df3 respectively so I could work further on the culled data.

The expected result should look like this:

df4

    Ticker  Company Name    COMBOACCRUAL    PMAN    PFD
0   ABC ABC Co. 0.9 0.7 0.25
2   GHI GHI Co. 0.5 0.55    0.9

CodePudding user response：

Merge the three df together first and apply your filter?

columns = ['Ticker', 'Company', 'Name']

df4 = df1.merge(df2, on=columns).merge(df3, on=columns)

df4 = df4[(df4['COMBOACCRUAL'] < 0.95) & (df4['PMAN'] < 0.95) & (df4['PFD'] < 0.95)]