What does NaN mean in C output?

-nan is output from attempting to print a floating point variable’s contents that is “Not A Number”. Certain bit representations in an IEEE floating point 2s-compliment variable do not represent an actual number.

What can cause NaN?

“Nan” is produced if a floating point operation has some input parameters that cause the operation to produce some undefined result. For example, 0.0 divided by 0.0 is arithmetically undefined. Finding out the square root of a negative number too is undefined.

What is NaN error?

NaN is an error value that means not a number. However, JavaScript considers the type of NaN to be number. Infinity is a value so big it can’t be represented by JavaScript numbers.

How do you handle NaN values?

5 simple ways to deal with NaN in your data

1. Dropping only the null values row-wise. Some times you just need to drop a few rows that contain null values.
2. Filling the null values with a value.
3. Filling the cell containing NaN values with previous entry.
4. Iterating through a column & doing operation on Non NaN.

How do you deal with NaN values?

Here are the ways to do that: Inpute them with specific values. Impute with special metrics, for example, mean or median. Impute using a method: MICE or KNN.

When NaN occur in our program?

Short for not a number, in mathematics and computer programming NaN is an undefined or unrepresentable value, especially in floating-point calculations. For example, 0/0 or the square root of a negative number would return a NaN result.

How do you find the NaN value of a data frame?

Here are 4 ways to check for NaN in Pandas DataFrame:

1. (1) Check for NaN under a single DataFrame column: df[‘your column name’].isnull().values.any()
2. (2) Count the NaN under a single DataFrame column: df[‘your column name’].isnull().sum()
3. (3) Check for NaN under an entire DataFrame: df.isnull().values.any()