How Can I Efficiently Create Multiple Pandas DataFrames from a List?

Creating Multiple DataFrames in a Loop

To create a DataFrame for each value in a list of company names, use the following code:

d = {name: pd.DataFrame() for name in companies}

This code will create a dictionary where the keys are the company names and the values are the corresponding DataFrames.

To access the DataFrame for a specific company, use the following syntax:

d[name]

For example, to access the DataFrame for the company "AA", use the following code:

d["AA"]

You can also use a loop to iterate over all the DataFrames in the dictionary:

for name, df in d.items():
    # operate on DataFrame 'df' for company 'name'

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