Pandas replace column values with a list

This should do it for you:

# Find the name of the column by index
n = df.columns[1]

# Drop that column
df.drop(n, axis = 1, inplace = True)

# Put whatever series you want in its place
df[n] = newCol

...where [1] can be whatever the index is, axis = 1 should not change.

This answers your question very literally where you asked to drop a column and then add one back in. But the reality is that there is no need to drop the column if you just replace it with newCol.

newcol = [..,..,.....]

df['colname'] = newcol

This will keep the colname intact while replacing its contents with newcol.