Pandas Dataframe 中的相同索引，删除 NaN 行

Question

How can I get the data from this dataframe into 2 rows only, deleting the NaN? (I concated 3 different Dataframes into a new one, showing averages from another Dataframe) enter image description here

This is what i want to achieve:

0 Bitcoin (BTC) 36568.673315   5711.3.059220.      1.229602e+06
1 Ethereum (ETH) 2550.870272   670225.756425       8.806719e+05

It can either be in a new dataframe or using the old one. Thank you so much for ur help:)

Answer 1

Try this:

df.bfill(axis ='rows', inplace=True) # filling the missing values
df.dropna(inplace=True) # drop rows with Nulls