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Tag: pandas

Monthly Data Produces NaNs in Dataframe

When fetching monthly data using xbbg, I have been running into an issue when I mix the BAUBIL Index with the LEGATRAH Index. I am expecting to get a dataframe with one entry at the end of each month, but end up with two in some months, with one as NaN and the other populating with data, as in the

Pandas find the maximum num from substring column

I’ve a dataframe look like this I want to make a separate column based on highest score values. Like so I’ve went through many ref but I can’t relate with my problem. Any suggestions? Answer You can use pandas.apply with axis=1 for iterate over each row: Output: Explanation:

Appending data with unequal data frame dimensions

What is the best way to append data using matching column names from two different data frames with differing dimensions? Scenario: Df1 = 350(rows)x2778(columns) Df2 = 321×2910 Df1 has <2778 columns with the exact same name as <2910 columns in Df2. -It could be 500 columns in each data frame as an …