Merge 3 toke data in one data frame
-
I got output like below when I subscribe but how can we take this all 3 token output to single data frame. Currently it creates 3 data frame ,
[I 240315 16:13:48 <string>:142] on open
token last_traded_price ... open_interest volume_trade_for_the_day0 45744 188.0 ... 421650 517050
[1 rows x 5 columns]
token last_traded_price ... open_interest volume_trade_for_the_day0 45744 188.0 ... 421650 5170501 45642 29.3 ... 0 0
[2 rows x 5 columns]
token last_traded_price ... open_interest volume_trade_for_the_day0 45744 188.0 ... 421650 5170501 45642 29.3 ... 0 02 45025 9.8 ... 0 0
[3 rows x 5 columns] -
@subh You can simply do
pd.concat([df_1,df_2,df_3],axis=0)
. This would merge your 3 dataframe in one.