pd.merge_asof() based on Time-Difference not merging all values - Pandas

Question

I have two dataframes, one with news and the other with stock price. Both the dataframes have a \"Date\" column. I want to merge them on a gap of 5 days.

Lets say my new

Answer 1

You can swap the left and right dataframe:

df = pd.merge_asof(
        df1,
        df2,
        left_on='News_Dates',
        right_on='Dates',
        tolerance=pd.Timedelta('5D'),
        direction='nearest'
    )

df = df[['Dates', 'News_Dates', 'News', 'Price']]
print(df)

        Dates News_Dates                                               News Price
0 2018-10-04 2018-09-29  Huge blow to ABC Corp. as they lost the 2012 t... 120
1 2018-10-04 2018-09-30                           ABC Corp. suffers a loss 120
2 2018-10-04 2018-10-01                            ABC Corp to Sell stakes 120
3 2018-12-24 2018-12-20       We are going to comeback strong said ABC CEO 131
4 2018-12-24 2018-12-22            Shares are down massively for ABC Corp. 131