Determine whether there is a NaN value in data.Frame
During the expression matrix preprocessing process, missing values need to be processed. Therefore, it is first necessary to determine whether there are missing values in the expression matrix.
maxtrix_s = pd.read_csv(path_input, sep='\t')
# Check if there are missing values in expression matrix
check_for_nan = maxtrix_s.isnull().values.any()
print(check_for_nan)
If False is output, it means there are no missing values. On the contrary, there is.