My corr() function in Python keeps resulting in an "ValueError: The truth value of a Series is ambiguous..." I am a very inexperienced programmer, this is my first question on the Data Science StackExchange, I sorry if it is formatted poorly or comes across as basic. For some strange reason, in Python, whenever I try to run a correlation function on the population density &amp; total cases per million columns of my COVID-19 DataFrame (which I imported/read into Spyder as a csv), I keep getting the same long error message, namely, &quot;ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().&quot; regardless of whether I use the correlation function from Pandas or Numpy.
My first thought was that this error was caused by the presence of null values in those columns, so I used df.dropna(), then ran the correlation function again but I got the same &quot;ValueError&quot;, so I have no idea what is going on here, I was able to run a correlation on those same columns just fine in RStudio which I am equally unskilled and inexperienced with.
You should look at the documentation.  You do not pass the column names as an argument.
subset_df = df[['col1', 'col2']]
subset_df.corr()

That should solve this for you.