Filter a pandas dataframe using values from a dict

IIUC, you should be able to do something like this:

>>> df1.loc[(df1[list(filter_v)] == pd.Series(filter_v)).all(axis=1)]
   A  B      C  D
3  1  0  right  3

---

This works by making a Series to compare against:

>>> pd.Series(filter_v)
A        1
B        0
C    right
dtype: object

Selecting the corresponding part of df1:

>>> df1[list(filter_v)]
    A      C  B
0   1  right  1
1   0  right  1
2   1  wrong  1
3   1  right  0
4 NaN  right  1

Finding where they match:

>>> df1[list(filter_v)] == pd.Series(filter_v)
       A      B      C
0   True  False   True
1  False  False   True
2   True  False  False
3   True   True   True
4  False  False   True

Finding where they all match:

>>> (df1[list(filter_v)] == pd.Series(filter_v)).all(axis=1)
0    False
1    False
2    False
3     True
4    False
dtype: bool

And finally using this to index into df1:

>>> df1.loc[(df1[list(filter_v)] == pd.Series(filter_v)).all(axis=1)]
   A  B      C  D
3  1  0  right  3