replace value column by another if missing pandas
import numpy as np
df['column'] = np.where(df['column'].isnull(), 'value_if_true', 'value_if_false')replace value column by another if missing pandas
import numpy as np
df['column'] = np.where(df['column'].isnull(), 'value_if_true', 'value_if_false')replace na in a column with values from another df
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 654Copyright © 2021 Codeinu
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