title: Turning each unique DataFrame column value into a dictionary key and populating dictionary with data from the DataFrame that corresponded with values
body: <p>I have a data frame full of my recent trades. It is 7 columns across and 40ish columns down containing date time ticker price quantity side and to open/to close. I want to eventually create my own trading journal that will keep track of my open positions, closed positions, P/L, etc. In the DataFrame there are multiple occurrences of each ticker, for buys and sells. I want to make unique DataFrames that tack the open positions, can I create individual ticker DataFrames from the overarching DataFrame or do I have to go through a dictionary?</p>