docstr: Returns a Series containing counts of each interval.
  
  Parameters
  ----------
  dropna : boolean, default True
      Don't include counts of NaN.
  
  Returns
  -------
  counts : Series
  
  See Also
  --------
  Series.value_counts
docstr_tok: ["Returns","a","Series","containing","counts","of","each","interval",".","Parameters","--","--","--","--","--","dropna",":","boolean",",","default","True","Do","n't","include","counts","of","NaN",".","Returns","--","--","--","-","counts",":","Series","See","Also","--","--","--","--","Series.value_counts"]
code: def value_counts(self, dropna=True):
      """
      Returns a Series containing counts of each interval.
  
      Parameters
      ----------
      dropna : boolean, default True
          Don't include counts of NaN.
  
      Returns
      -------
      counts : Series
  
      See Also
      --------
      Series.value_counts
      """
      # TODO: implement this is a non-naive way!
      from pandas.core.algorithms import value_counts
  
      return value_counts(np.asarray(self), dropna=dropna)
  
imports: from operator import le, lt
  import textwrap
  import numpy
  from pandas._libs.interval import Interval, IntervalMixin, intervals_to_interval_bounds
  from pandas.compat import add_metaclass
  from pandas.compat.numpy import function
  from pandas.util._decorators import Appender
  from pandas.util._doctools import _WritableDoc
  from pandas.core.dtypes.cast import maybe_convert_platform
  from pandas.core.dtypes.common import is_categorical_dtype, is_datetime64_any_dtype, is_float_dtype, is_integer_dtype, is_interval, is_interval_dtype, is_scalar, is_string_dtype, is_timedelta64_dtype, pandas_dtype
  from pandas.core.dtypes.dtypes import IntervalDtype
  from pandas.core.dtypes.generic import ABCDatetimeIndex, ABCInterval, ABCIntervalIndex, ABCPeriodIndex, ABCSeries
  from pandas.core.dtypes.missing import isna, notna
  from pandas.core.arrays.base import ExtensionArray, _extension_array_shared_docs
  from pandas.core.arrays.categorical import Categorical
  import pandas.core.common
  from pandas.core.config import get_option
  from pandas.core.indexes.base import Index, ensure_index
label_desc: Use image node_id 24 for calling the IntervalArray obj's underlying member method code with example usage: obj.value_counts(dropna) and returns: value_counts