there are two sets of data that make two dataframe, with the same row and column tags want to know how to get two dataframe to fill the missing values with each other.
there are two sets of data that make two dataframe, with the same row and column tags want to know how to get two dataframe to fill the missing values with each other.
import pandas as pd
data1 = [{'a': '1', 'b': ''}, {'a': '', 'b': '2'}]
data2 = [{'a': '', 'b': '3'}, {'a': '4', 'b': ''}]
df1 = pd.DataFrame(data1)
df2 = pd.DataFrame(data2)
for i, row in df1.iterrows():
for key in row.keys():
if not row[key]:
row[key] = df2.loc[i][key]
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