create random sample conditionally using a file

I am trying to assign reviewers to projects with the condition that the author of the project cannot be assigned as a reviewer to a project in their own portfolio.

I created a dataset with variables named project and portfolio. I have an array with the names of the individuals.

Please be kind, as I am learning Python on my own on the job, using Jupyter Notebook, python 3. I copied this code from other places and put it together. I have been at this all day. My superior wants error free code by the end of the week. I am desperate!!!

Here is the code that I have so far:

!pip install pandas    dir_path = "path/to/filename.csv"    import pandas as pddf = pd.read_csv(dir_path,index_col=0)df.headimport random     random.seed(25, 2) #sets the first random number for reproducibility     random.randint(100, 250) #random integer 100 to 250 

Update1 (works, thanks Ken!): import pandas as pd# Load  dataframedf = pd.read_csv(dir_path, index_col = 0)first = df["portfolio"] print(first)     Update2  # Select 6 random projects for Moi which are not "XXX"#random dataframeimport numpy as pydf2 = pd.read_csv(dir_path, skiprows=1)np.random.seed(100)df2 = pd.DataFrame(np.random.randint(10, size=(6,2)), columns=list('project portfolio') if ((portfolio == "XYZ") or (portfolio == "ABC") or (portfolio == "MKZ") or (portfolio == "BNZ")) print (df2)   

Error message File "<ipython-input-29-0ee5224a45db>", line 7    print (df2)    ^SyntaxError: invalid syntax

I daresay this is a simple mistake.