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replace na in a column with values from another df
“replace na in a column with values from another df” Code Answer
replace value of dataframe with another column
python by
Frightened Flatworm
on Apr 30 2020
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df['col1'] = np.where(df['col1'] == 0, df['col2'], df['col1']) df['col1'] = np.where(df['col1'] == 0, df['col3'], df['col1'])
Source:
stackoverflow.com
replace na in a column with values from another df
r by
Trustworthy Whale
on Dec 14 2020
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library(dplyr) df1 %>% inner_join(df2, by= "ID") %>% mutate(Count = coalesce(Count.x, Count.y)) %>% select(ID, Count) # ID Count # 1 11 345 # 2 22 456 # 3 33 786 # 4 44 765 # 5 55 890 # 6 66 888 # 7 77 654
Source:
stackoverflow.com
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