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replace value of dataframe with another column
Frightened Flatworm
on Apr 30, 2020
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
Trustworthy Whale
on Dec 14, 2020
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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