# Replace part column value with value from another column of same dataframe

I have a dataframe with two columns:

Name          DATE
Name1         20200126
Name2         20200127
Name#DATE#    20200210


I need to replace all the #DATE# with the data from the DATE column, and get something like this:

Name
Name1
Name2
Name20200210


How can I achieve this? I've tried things like this, without any good result..:

df_merged_tables["Name"].str.replace("#DATE#",merged_tables["DATE"])


Thanks!

df = pd.DataFrame({"Name":["Name1", "Name2", "Name#DATE#"], "Date":[20200126, 20200127, 20200210]})