class_docstr: Market data dictionary representation.
docstr: Type of the float calculations.
docstr_tok: ["Type","of","the","float","calculations","."]
code: def dtype(self) -> types.Dtype:
      """Type of the float calculations."""
      return self._dtype
  
imports: import datetime
  from typing import Dict, Any, List, Optional, Tuple
  import tensorflow.compat.v2
  from tf_quant_finance import datetime
  from tf_quant_finance import math
  from tf_quant_finance.experimental.pricing_platform.framework.core import currencies
  from tf_quant_finance.experimental.pricing_platform.framework.core import curve_types
  from tf_quant_finance.experimental.pricing_platform.framework.core import daycount_conventions
  from tf_quant_finance.experimental.pricing_platform.framework.core import processed_market_data
  from tf_quant_finance.experimental.pricing_platform.framework.core import types
  from tf_quant_finance.experimental.pricing_platform.framework.market_data import rate_curve
  from tf_quant_finance.experimental.pricing_platform.framework.market_data import volatility_surface
label_desc: Use image node_id 11 for calling the MarketDataDict obj's underlying member method code with example usage: obj.dtype() and returns: self