Remove visualization code deprecated in 0.22 (released on October 13, 2022)

qiskit/visualization/circuit/_utils.py

@@ -32,7 +32,6 @@
 from qiskit.circuit.tools import pi_check
 from qiskit.converters import circuit_to_dag
 from qiskit.utils import optionals as _optionals
-from qiskit.utils.deprecation import deprecate_arg
 
 from ..exceptions import VisualizationError
 
@@ -213,22 +212,19 @@ def get_bit_register(circuit, bit):
     return bit_loc.registers[0][0] if bit_loc.registers else None
 
 
-@deprecate_arg("reverse_bits", since="0.22.0", package_name="qiskit-terra")
-def get_bit_reg_index(circuit, bit, reverse_bits=None):
+def get_bit_reg_index(circuit, bit):
     """Get the register for a bit if there is one, and the index of the bit
     from the top of the circuit, or the index of the bit within a register.
 
     Args:
         circuit (QuantumCircuit): the circuit being drawn
         bit (Qubit, Clbit): the bit to use to find the register and indexes
-        reverse_bits (bool): deprecated option to reverse order of the bits
 
     Returns:
         (ClassicalRegister, None): register associated with the bit
         int: index of the bit from the top of the circuit
         int: index of the bit within the register, if there is a register
     """
-    del reverse_bits
     bit_loc = circuit.find_bit(bit)
     bit_index = bit_loc.index
     register, reg_index = bit_loc.registers[0] if bit_loc.registers else (None, None)
@@ -301,21 +297,18 @@ def get_wire_label(drawer, register, index, layout=None, cregbundle=True):
     return wire_label
 
 
-@deprecate_arg("reverse_bits", since="0.22.0", package_name="qiskit-terra")
-def get_condition_label_val(condition, circuit, cregbundle, reverse_bits=None):
+def get_condition_label_val(condition, circuit, cregbundle):
     """Get the label and value list to display a condition
 
     Args:
         condition (Union[Clbit, ClassicalRegister], int): classical condition
         circuit (QuantumCircuit): the circuit that is being drawn
         cregbundle (bool): if set True bundle classical registers
-        reverse_bits (bool): deprecated option to reverse order of the bits
 
     Returns:
         str: label to display for the condition
         list(str): list of 1's and 0's indicating values of condition
     """
-    del reverse_bits
     cond_is_bit = bool(isinstance(condition[0], Clbit))
     cond_val = int(condition[1])
 

qiskit/visualization/counts_visualization.py

@@ -20,7 +20,6 @@
 import numpy as np
 
 from qiskit.utils import optionals as _optionals
-from qiskit.utils.deprecation import deprecate_arg
 from qiskit.result import QuasiDistribution, ProbDistribution
 from .exceptions import VisualizationError
 from .utils import matplotlib_close_if_inline
@@ -57,18 +56,6 @@ def _is_deprecated_data_format(data) -> bool:
     return False
 
 
-@deprecate_arg(
-    "data",
-    deprecation_description=(
-        "Using plot_histogram() ``data`` argument with QuasiDistribution, ProbDistribution, or a "
-        "distribution dictionary"
-    ),
-    since="0.22.0",
-    additional_msg="Instead, use ``plot_distribution()``.",
-    predicate=_is_deprecated_data_format,
-    pending=True,
-    package_name="qiskit-terra",
-)
 def plot_histogram(
     data,
     figsize=(7, 5),
@@ -87,6 +74,26 @@ def plot_histogram(
     Args:
         data (list or dict): This is either a list of dictionaries or a single
             dict containing the values to represent (ex ``{'001': 130}``)
+            Note: Passing `QuasiDistribution`, `ProbDistribution`, or a distribution dictionary
+            to the `data` argument is deprecated.
+
+            Migration Guide:
+            ----------------
+            If you used `QuasiDistribution`, `ProbDistribution`, or a distribution dictionary
+            with `plot_histogram`, you should now use `plot_distribution()`.
+
+            Example:
+            ```python
+            # Old way using plot_histogram with a hypothetical QuasiDistribution
+            quasi_data = QuasiDistribution(...)
+            plot_histogram(quasi_data)
+
+            # New recommended way
+            plot_distribution(quasi_data)
+            ```
+
+            For other data types, continue using `plot_histogram` as usual.
+
         figsize (tuple): Figure size in inches.
         color (list or str): String or list of strings for histogram bar colors.
         number_to_keep (int): The number of terms to plot per dataset.  The rest is made into a