I was required to create a program with a function that changes height in feet to height in meters. I made the function and when I cout from the function I get the right value but when I cout it in main I get "nan". I dont understand why the...

## Pandas dataframe drop columns with no header

What's the most pythonic place to drop the columns in a dataframe where the header row is NaN? Preferably inplace.

## How do I find: Is the first non-NaN value in each column the maximum for that column in a DataFrame?

For example:My expected output is: [False, True] since 87 is the first !NaN value but not the maximum in column 0. 99 however is the first !NaN value and is indeed the max in that column.

## How to solve “Level NaN must be same as name”

I am trying to count how many times NaN appears in a column of a dataframe using this code:But every time i run this i get the following error: