Fixed some English and typos in comments

qiskit_experiments/curve_analysis/curve_analysis.py

@@ -531,20 +531,20 @@ def _extract_curves(
     ):
         """Extract curve data from experiment data.
 
-        This method internally populate two type of curve data.
+        This method internally populates two types of curve data.
 
         - raw_data:
 
             This is the data directly obtained from the experiment data.
-            You can access to this data with ``self._data(label="raw_data")``.
+            You can access this data with ``self._data(label="raw_data")``.
 
         - fit_ready:
 
-            This is the formatted data created  pre-processing defined by
+            This is the formatted data created by pre-processing defined by
             `self._format_data()` method. This method is implemented by subclasses.
             You can access to this data with ``self._data(label="fit_ready")``.
 
-        If multiple series exists, you can optionally specify ``series_name`` in
+        If multiple series exist, you can optionally specify ``series_name`` in
         ``self._data`` method to filter data in the target series.
 
         .. notes::
@@ -554,12 +554,12 @@ def _extract_curves(
         Args:
             experiment_data: ExperimentData object to fit parameters.
             data_processor: A callable or DataProcessor instance to format data into numpy array.
-                This should take list of dictionary and returns two tuple of float values
+                This should take a list of dictionaries and return two tuple of float values,
                 that represent a y value and an error of it.
         Raises:
             DataProcessorError: When `x_key` specified in the analysis option is not
                 defined in the circuit metadata.
-            AnalysisError: When formatted data has the label other than fit_ready.
+            AnalysisError: When formatted data has label other than fit_ready.
         """
         self.__processed_data_set = list()
 

test/data_processing/test_nodes.py

@@ -138,7 +138,7 @@ def test_svd(self):
         """Use IQ data gathered from the hardware."""
 
         # This data is primarily oriented along the real axis with a slight tilt.
-        # The is a large offset in the imaginary dimension when comparing qubits
+        # There is a large offset in the imaginary dimension when comparing qubits
         # 0 and 1.
         iq_data = [
             [[-6.20601501e14, -1.33257051e15], [-1.70921324e15, -4.05881657e15]],
@@ -179,7 +179,7 @@ def test_svd_error(self):
         self.assertEqual(processed, np.array([1.0]))
         self.assertEqual(error, np.array([0.2]))
 
-        # Title the axis to an angle of 36.9... degrees
+        # Tilt the axis to an angle of 36.9... degrees
         iq_svd._main_axes = np.array([[0.8, 0.6]])
         processed, error = iq_svd([[1.0, 0.0]], [[0.2, 0.3]])
         cos_ = np.cos(np.arctan(0.6 / 0.8))