如何在 Python 中从开始日期和结束日期创建日期列表？

Question

I have a table of items (in this case various stocks) with start and close dates.

data = [['Stock A', '2022-01-01', '2022-06-30'], ['Stock B', '2022-01-01', '2022-06-30'], ['Stock C', '2022-01-01', '2022-06-30'], ['Stock D', '2022-01-01', '2022-02-28'], ['Stock E', '2022-03-01', '2022-06-30'], ['Stock F', '2022-05-01', '2022-06-30']]

df_input = pd.DataFrame(data, columns=['stock', 'start date', 'close date'])

which looks something like this:

Based on this, using Python, I would like to create a table which shows me all stocks that were included on a given date – meaning was <= the date, and their end date was >= the date. I would like to format them similarly to this:

What would be the right approach to solve this using python?

Edit: Excuse me for not phrasing the question clearly initially and forgetting to add a df.

Answer 1

first you have to get the data using pandas

df = pd.read_excel(path)

or

df = pd.read_csv(path)

then do the date filter on the data

df_date  = df.loc[df['start date'].dt.year==year] #to filter the year you want 
new_df = df_date.loc[df_date['start date'].dt.month == month] #to create filter for the month you want

I hope this will help you