附加到 Dataframe 然后按索引改组

Question

I have an existing dataframe with some data. Something like

Time, Price
15:00  100
15:01  125
15:03  121

where time is the index of the dataframe. However, because the dataframe is missing some pieces of data like the row at 15:02 in my example above, I wrote an algorithm that finds the price for these missing rows. I now have a list of lists where each inner list is the time and price of missing data. For example, it could be

[[15:02,123]]

for this example. I plan to convert this list into a pandas dataframe, merge it back to the original dataframe and have it sorted by its index ( time ). What is the best way to achieve this?

Answer 1

You should first create a dataframe out of your list with same columns. Then use the function:

df = df.append(new_time_price_df,ignore_index=True)

And then use the method sort_values:

df = df.sort_values(‘Time’)

Now df is sorted properly!