DataFrames

While a Series represents a single column of data, a DataFrame is basically a table that can contain an arbitrary number of Series (columns).

It's essentially Pandas' version of an Excel spreadsheet, CSV file, or SQL table.

Say we have a collection of a few columns that represent player data from an RPG:

data = {
    "player": ["Geralt", "Ciri", "Triss"],
    "gold_earned": [150, 300, 75],
    "online": [True, False, True],
}

df = pd.DataFrame(data)
print(df)

Prints:

   player  gold_earned  online
0  Geralt          150    True
1    Ciri          300   False
2   Triss           75    True

• The index labels are on the left: 0, 1, 2
• The column labels are at the top: player, gold_earned, online
• The values are in the middle: the actual data for each player

DataFrames are everywhere in data manipulation; we'll be using these a lot.