Goal: I have two `Pandas Series`

. On each I want to apply a function that gives me some summarizing statistic for the column (like `sum`

, `count`

and so on). All this is embedded in a for each` loop. E.g.:

```
DataFrame1
Id V1 V2
0 3 2
1 2 1
DataFrame2
Id T1 T2
0 4 2
1 5 2
```

The result (on a count task) suppose to be:

```
DataFrameGoal
Id V1 V2 T1 T2
0 2 2 2 2
```

My code works fine so for but the solution I get is:

```
DataFrameGoal
Id V1 V2 T1 T2
0 2 2 NaN NaN
1 NaN NaN 2 2
```

My code:

```
import pandas as pd
import numpy as np
df1 = pd.DataFrame({'a' : np.random.randn(6),
'b' : np.random.randn(6),
'c' : np.random.randn(6)})
df2 = pd.DataFrame({'d' : np.random.randn(6),
'e' : np.random.randn(6),
'f' : np.random.randn(6)})
def mysum(col):
return col.count()
lst = []
lst.append(df1)
lst.append(df2)
myDf = pd.DataFrame()
for el in lst:
test = el.apply(lambda cols: mysum(cols))
myDf = myDf.append(test, ignore_index=True)
print(myDf)
```

Can anyone help me with getting the result I am aiming for? I also tried `.assign`

but this could not solve my problem as well.
P.S.: I know that simple things like count or sum can be accomplished quite easy but I have some complicated task and this is just an easy example.

Try this

And then apply whatever function you want to.