Finding string with multiple condition between two data frame in python

I have two dataframe df1 and df2. df1 has 4 columns.

>df1
Neighborhood  Street  Begin Street  End Street
8th Ave       6th St  Church St     Mlk blvd
.....

>df2
Intersection  Roadway
Mlk blvd      Hue St.

I want to add a new column Count in df2 in such a way that for every row in df2 if any string from Intersection or Roadway column exists in overall df1 data frame even once or more, the count column will have a value of 1. For example for this sample dataframe df2 as Mlk blvd is found in df1 under End Street column : the df2 will look like :

>df2
Intersection  Roadway   Count
Mlk blvd      Hue St.    1

I also wanted to strip the string and make it case neutral to match it. However, I am not sure how would I set this matching logic using .iloc . How could I solve this?

Answer

Flatten the values in df1 and map to lower case, then convert the values in df2 to lower case and use isin + any to test for the match

vals = map(str.lower, df1.values.ravel())
df2['count'] = df2.applymap(str.lower).isin(vals).any(1).astype(int)

---

  Intersection  Roadway  count
0     Mlk blvd  Hue St.      1