pandas determine percentage of nans in column
>>> flights.isna().mean().round(4) * 100
pandas determine percentage of nans in column
>>> flights.isna().mean().round(4) * 100
percent of missing data in df r
# Apply on dataframe with missing values
sum(is.na(x))/prod(dim(x))
percentage rows are na
sum(is.na(x))/prod(dim(x))
percentage rows are na
mean(is.na(x))
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