capping maximum number of points to use for plotting

Author: lballerio

src/qibocal/protocols/ramsey/processing.py

@@ -23,6 +23,9 @@
 
 from .acquisition import RamseyResults
 
+MAXIMUM_FIT_POINTS = 1_000
+"""maximum number of points to use when plotting fit results."""
+
 POPT_EXCEPTION = [0, 0, 0, 0, 1]
 """Fit parameters output to handle exceptions"""
 PERR_EXCEPTION = [1] * 5
@@ -168,7 +171,9 @@ def fit_plot(
 ) -> str:
     """Generate the fit trace and summary table for Ramsey data."""
 
-    fit_waits = np.linspace(min(waits), max(waits), 20 * len(waits))
+    fit_waits = np.linspace(
+        min(waits), max(waits), min(20 * len(waits), MAXIMUM_FIT_POINTS)
+    )
     fig.add_trace(
         go.Scatter(
             x=fit_waits,

src/qibocal/protocols/ramsey/zz_coupling.py

@@ -16,7 +16,13 @@
     execute_experiment,
     ramsey_sequence,
 )
-from .processing import fitting, process_fit, ramsey_fit, ramsey_update
+from .processing import (
+    MAXIMUM_FIT_POINTS,
+    fitting,
+    process_fit,
+    ramsey_fit,
+    ramsey_update,
+)
 
 __all__ = ["ramsey_zz"]
 
@@ -188,7 +194,9 @@ def zz_fit_plot(
     waits: npt.NDArray,
     fig: go.Figure,
 ) -> str:
-    fit_waits = np.linspace(min(waits), max(waits), 20 * len(waits))
+    fit_waits = np.linspace(
+        min(waits), max(waits), min(20 * len(waits), MAXIMUM_FIT_POINTS)
+    )
 
     fig.add_trace(
         go.Scatter(