class_docstr: Determines the total number of values, excluding `NaN`.
  
  Examples:
      >>> count = Count()
      >>> count([1, 2, 3, 4, 5, None])
      5
code: def get_function(self, agg_type=Library.PANDAS):
      if agg_type in [Library.DASK, Library.SPARK]:
          return "count"
  
      return pd.Series.count
  
file_path: featuretools/featuretools/primitives/standard/aggregation/count.py
imports: import pandas
  from woodwork.column_schema import ColumnSchema
  from woodwork.logical_types import IntegerNullable
  from featuretools.primitives.base.aggregation_primitive_base import AggregationPrimitive
  from featuretools.utils.gen_utils import Library
label_desc: Use image node_id 1 for calling the Count obj's underlying member method code with example usage: obj.get_function(agg_type) and returns: pd, str