code: def pad_2d(values, limit=None, mask=None, dtype=None):
      values, mask = _fillna_prep(values, mask, dtype)
  
      if np.all(values.shape):
          algos.pad_2d_inplace(values, mask, limit=limit)
      else:
          # for test coverage
          pass
      return values
  
imports: from distutils.version import LooseVersion
  import operator
  import numpy
  from pandas._libs import algos, lib
  from pandas.compat import range, string_types
  from pandas.core.dtypes.cast import infer_dtype_from_array
  from pandas.core.dtypes.common import ensure_float64, is_datetime64_dtype, is_datetime64tz_dtype, is_float_dtype, is_integer, is_integer_dtype, is_numeric_v_string_like, is_scalar, is_timedelta64_dtype, needs_i8_conversion
  from pandas.core.dtypes.missing import isna
label_desc: Use image node_id 13 for calling a global function with example usage: pad_2d(values, limit, mask, dtype) and returns: values