I want to update empty rows in dataframe1 with the equivalent values from dataframe2 only if the rows in dataframe1 is empty.
Cases:
fig 1
fig 2
In the above example, I want to fill only empty rows of Price columns in dataframe1 with the equivalent Price columns from dataframe2.
Any ideas or suggestions for this?
import pandas as pd
df1 = pd.read_csv('dataframe1.csv')
df2 = pd.read_csv('dataframe2.csv')
Try this:
df2dict = df2.set_index(['Product Code'])['Price'].squeeze().to_dict()
# maps from df2['Product Code'] to empty columns in df
df['Price'] = df['Price'].fillna(df['Product Code'].map(df2dict))
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