How to pass multiple pandas.dataframe in one variable?

Question

Python

I use pdf_reports to generate pdf .

data_frames = pandas.DataFrame.from_records({
                        "NAME": name,
                        "DAY": day,
                        "MONTH": month,
                        "YEAR": year
                    },
                        columns=["NAME", "DAY", "MONTH", "YEAR"])
data_frames2 = pandas.DataFrame.from_records({
                        "NAME": name,
                        "DAY": day,
                        "MONTH": month,
                        "YEAR": year
                    },
                        columns=["NAME", "DAY", "MONTH", "YEAR"])
html = pug_to_html("RevenueReport.pug", revenue=data_frames, revenue2=data_frames2)
print(type(data_frames))#<class 'pandas.core.frame.DataFrame'>
filename = 'revenuereport.pdf'
write_report(html, filename)

Is it possible to pass several dataframes to one variable, so that in the pug file it would be possible to loop through and split the tables? In general, the task is such that the input has a different number of dataframes and how much to transfer is not known in advance.

Answer 1

No, but you can merge dataframes
https://pandas.pydata.org/pandas-docs/stable/user_...

Answer 2

Not familiar with pandas, but it seems to me that a nested dictionary will solve this complexity.