I am trying to find a similar functionality like in Python where in I can delete the rows which have ‘all’ null values in a row -
code in python - Using Pandas dataframe ‘closed_prices’
closed_prices.dropna(axis=0, how=‘all’, inplace=True)
Basically I want to drop rows which have missing values for all columns - I am using a stock data and want to remove the weekends and holidays, each column represent closing price of a particular stock. So if all the column values are null/missing for a particular row I want to delete that row.