diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 17e9430..0b2179e 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -6,12 +6,19 @@ All notable changes to this project will be documented in this file.
 
 The format is based on `Keep a Changelog <https://keepachangelog.com>`_.
 
+2.1.0
+-----
+
+Added
++++++
+- Added the ``draw_in_bounds`` option to the curve plotting so that curves never are plotted outside the data range. Addresses [this issue](https://github.com/jbloomlab/neutcurve/issues/59).
+
 2.0.1
 -----
 
 Fixed
 +++++
-- Don't throw an uninterprtable error if ``CurveFits.fitParams`` called with no curves, instead just return empty data frame.
+- Don't throw an uninterpretable error if ``CurveFits.fitParams`` called with no curves, instead just return empty data frame.
 
 2.0.0
 -----
diff --git a/neutcurve/__init__.py b/neutcurve/__init__.py
index 3b803b1..a8b70d0 100644
--- a/neutcurve/__init__.py
+++ b/neutcurve/__init__.py
@@ -16,7 +16,7 @@
 
 __author__ = "Jesse Bloom"
 __email__ = "jbloom@fredhutch.org"
-__version__ = "2.0.1"
+__version__ = "2.1.0"
 __url__ = "https://github.com/jbloomlab/neutcurve"
 
 from neutcurve.curvefits import CurveFits  # noqa: F401
diff --git a/neutcurve/curvefits.py b/neutcurve/curvefits.py
index b52a52f..3e5738d 100644
--- a/neutcurve/curvefits.py
+++ b/neutcurve/curvefits.py
@@ -1243,6 +1243,7 @@ def plotGrid(
         sharex=True,
         sharey=True,
         vlines=None,
+        draw_in_bounds=False,
     ):
         """Plot arbitrary grid of curves.
 
@@ -1318,6 +1319,8 @@ def plotGrid(
                 Values are lists of dicts with a key 'x' giving the x-location
                 of the vertical line, and optionally keys 'linewidth',
                 'color', and 'linestyle'.
+            `draw_in_bounds` (bool)
+                Same meaning as for meth:`neutcurve.hillcurve.HillCurve.plot`.
 
         Returns:
             The 2-tuple `(fig, axes)` of matplotlib figure and 2D axes array.
@@ -1468,6 +1471,7 @@ def plotGrid(
                     xlabel=ixlabel,
                     ylabel=iylabel,
                     yticklocs=yticklocs,
+                    draw_in_bounds=draw_in_bounds,
                     **kwargs,
                 )
                 label = curvedict["label"]
diff --git a/neutcurve/hillcurve.py b/neutcurve/hillcurve.py
index 01bfcd7..515dd8b 100644
--- a/neutcurve/hillcurve.py
+++ b/neutcurve/hillcurve.py
@@ -1203,6 +1203,7 @@ def plot(
         linewidth=1,
         linestyle="-",
         yticklocs=None,
+        draw_in_bounds=False,
     ):
         """Plot the neutralization curve.
 
@@ -1229,12 +1230,16 @@ def plot(
                 Line style.
             `yticklocs` (`None` or list)
                 Exact locations to place yticks; `None` means auto-locate.
+            `draw_in_bounds` (bool)
+                By default, the plotted curve extends a bit outside the actual
+                data points on both sides. If this is set to `True`, then the
+                plotted curve stops at the bounds of the data points.
 
         Returns:
             The 2-tuple `(fig, ax)` giving the matplotlib figure and axis.
 
         """
-        data = self.dataframe(concentrations)
+        data = self.dataframe(concentrations, extend=0 if draw_in_bounds else 0.1)
 
         if ax is None:
             fig, ax = plt.subplots()
@@ -1282,7 +1287,7 @@ def plot(
 
         return fig, ax
 
-    def dataframe(self, concentrations="auto"):
+    def dataframe(self, concentrations="auto", extend=0.1):
         """Get data frame with curve data for plotting.
 
         Useful if you want to get both the points and the fit
@@ -1294,6 +1299,9 @@ def dataframe(self, concentrations="auto"):
                 If 'auto' the automatically computed from data
                 range using :func:`concentrationRange`. If
                 'measured' then only include measured values.
+            `extend` (float)
+                The value passed to :func:`concentrationRange` if `concentrations`
+                is 'auto'.
 
         Returns:
             A pandas DataFrame with the following columns:
@@ -1306,7 +1314,7 @@ def dataframe(self, concentrations="auto"):
 
         """
         if concentrations == "auto":
-            concentrations = concentrationRange(self.cs[0], self.cs[-1])
+            concentrations = concentrationRange(self.cs[0], self.cs[-1], extend=extend)
         elif concentrations == "measured":
             concentrations = []
         concentrations = numpy.concatenate([self.cs, concentrations])
diff --git a/notebooks/curvefits_example.ipynb b/notebooks/curvefits_example.ipynb
index 19519e4..8d3833f 100644
--- a/notebooks/curvefits_example.ipynb
+++ b/notebooks/curvefits_example.ipynb
@@ -26,11 +26,11 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:50.121734Z",
-     "iopub.status.busy": "2024-03-24T23:28:50.120911Z",
-     "iopub.status.idle": "2024-03-24T23:28:51.692109Z",
-     "shell.execute_reply": "2024-03-24T23:28:51.691182Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:50.121683Z"
+     "iopub.execute_input": "2024-04-11T03:24:56.783985Z",
+     "iopub.status.busy": "2024-04-11T03:24:56.783551Z",
+     "iopub.status.idle": "2024-04-11T03:25:01.092425Z",
+     "shell.execute_reply": "2024-04-11T03:25:01.090998Z",
+     "shell.execute_reply.started": "2024-04-11T03:24:56.783953Z"
     }
    },
    "outputs": [],
@@ -53,11 +53,11 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:51.695094Z",
-     "iopub.status.busy": "2024-03-24T23:28:51.694579Z",
-     "iopub.status.idle": "2024-03-24T23:28:51.699981Z",
-     "shell.execute_reply": "2024-03-24T23:28:51.699157Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:51.695063Z"
+     "iopub.execute_input": "2024-04-11T03:25:01.103191Z",
+     "iopub.status.busy": "2024-04-11T03:25:01.102765Z",
+     "iopub.status.idle": "2024-04-11T03:25:01.107967Z",
+     "shell.execute_reply": "2024-04-11T03:25:01.107275Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:01.103158Z"
     }
    },
    "outputs": [],
@@ -86,11 +86,11 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:51.701609Z",
-     "iopub.status.busy": "2024-03-24T23:28:51.701224Z",
-     "iopub.status.idle": "2024-03-24T23:28:51.705056Z",
-     "shell.execute_reply": "2024-03-24T23:28:51.704337Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:51.701577Z"
+     "iopub.execute_input": "2024-04-11T03:25:01.111755Z",
+     "iopub.status.busy": "2024-04-11T03:25:01.111470Z",
+     "iopub.status.idle": "2024-04-11T03:25:01.115296Z",
+     "shell.execute_reply": "2024-04-11T03:25:01.114472Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:01.111732Z"
     }
    },
    "outputs": [],
@@ -103,11 +103,11 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:51.706740Z",
-     "iopub.status.busy": "2024-03-24T23:28:51.706175Z",
-     "iopub.status.idle": "2024-03-24T23:28:51.716290Z",
-     "shell.execute_reply": "2024-03-24T23:28:51.715550Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:51.706711Z"
+     "iopub.execute_input": "2024-04-11T03:25:01.119244Z",
+     "iopub.status.busy": "2024-04-11T03:25:01.118880Z",
+     "iopub.status.idle": "2024-04-11T03:25:01.130783Z",
+     "shell.execute_reply": "2024-04-11T03:25:01.129989Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:01.119215Z"
     }
    },
    "outputs": [],
@@ -130,11 +130,11 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:51.719377Z",
-     "iopub.status.busy": "2024-03-24T23:28:51.719035Z",
-     "iopub.status.idle": "2024-03-24T23:28:51.734805Z",
-     "shell.execute_reply": "2024-03-24T23:28:51.734103Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:51.719352Z"
+     "iopub.execute_input": "2024-04-11T03:25:01.134241Z",
+     "iopub.status.busy": "2024-04-11T03:25:01.133976Z",
+     "iopub.status.idle": "2024-04-11T03:25:01.152625Z",
+     "shell.execute_reply": "2024-04-11T03:25:01.151872Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:01.134220Z"
     }
    },
    "outputs": [
@@ -241,11 +241,11 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:51.736086Z",
-     "iopub.status.busy": "2024-03-24T23:28:51.735773Z",
-     "iopub.status.idle": "2024-03-24T23:28:51.746173Z",
-     "shell.execute_reply": "2024-03-24T23:28:51.745374Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:51.736062Z"
+     "iopub.execute_input": "2024-04-11T03:25:01.156580Z",
+     "iopub.status.busy": "2024-04-11T03:25:01.156274Z",
+     "iopub.status.idle": "2024-04-11T03:25:01.166743Z",
+     "shell.execute_reply": "2024-04-11T03:25:01.165895Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:01.156555Z"
     }
    },
    "outputs": [
@@ -384,11 +384,11 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:51.747633Z",
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-     "shell.execute_reply": "2024-03-24T23:28:51.869031Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:51.747602Z"
+     "iopub.execute_input": "2024-04-11T03:25:01.170672Z",
+     "iopub.status.busy": "2024-04-11T03:25:01.170363Z",
+     "iopub.status.idle": "2024-04-11T03:25:01.292775Z",
+     "shell.execute_reply": "2024-04-11T03:25:01.292022Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:01.170647Z"
     }
    },
    "outputs": [],
@@ -408,11 +408,11 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:51.871302Z",
-     "iopub.status.busy": "2024-03-24T23:28:51.870985Z",
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-     "shell.execute_reply": "2024-03-24T23:28:51.874820Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:51.871278Z"
+     "iopub.execute_input": "2024-04-11T03:25:01.296900Z",
+     "iopub.status.busy": "2024-04-11T03:25:01.296691Z",
+     "iopub.status.idle": "2024-04-11T03:25:01.302015Z",
+     "shell.execute_reply": "2024-04-11T03:25:01.301357Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:01.296878Z"
     }
    },
    "outputs": [
@@ -443,11 +443,11 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:51.876443Z",
-     "iopub.status.busy": "2024-03-24T23:28:51.876235Z",
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-     "shell.execute_reply": "2024-03-24T23:28:51.880721Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:51.876423Z"
+     "iopub.execute_input": "2024-04-11T03:25:01.305771Z",
+     "iopub.status.busy": "2024-04-11T03:25:01.305473Z",
+     "iopub.status.idle": "2024-04-11T03:25:01.310172Z",
+     "shell.execute_reply": "2024-04-11T03:25:01.309437Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:01.305748Z"
     }
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    "outputs": [
@@ -483,11 +483,11 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:51.882793Z",
-     "iopub.status.busy": "2024-03-24T23:28:51.882468Z",
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-     "shell.execute_reply": "2024-03-24T23:28:51.887506Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:51.882768Z"
+     "iopub.execute_input": "2024-04-11T03:25:01.313879Z",
+     "iopub.status.busy": "2024-04-11T03:25:01.313528Z",
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+     "shell.execute_reply.started": "2024-04-11T03:25:01.313852Z"
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@@ -524,11 +524,11 @@
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@@ -572,11 +572,11 @@
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@@ -624,11 +624,11 @@
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@@ -944,11 +944,11 @@
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-     "shell.execute_reply.started": "2024-03-24T23:28:52.852316Z"
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@@ -1117,11 +1117,11 @@
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@@ -1289,11 +1289,11 @@
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@@ -1633,11 +1633,11 @@
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@@ -1950,11 +1950,11 @@
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    "outputs": [
@@ -2173,11 +2173,11 @@
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-     "iopub.execute_input": "2024-03-24T23:28:53.123112Z",
-     "iopub.status.busy": "2024-03-24T23:28:53.122328Z",
-     "iopub.status.idle": "2024-03-24T23:28:55.017870Z",
-     "shell.execute_reply": "2024-03-24T23:28:55.016458Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:53.123069Z"
+     "iopub.execute_input": "2024-04-11T03:25:02.565342Z",
+     "iopub.status.busy": "2024-04-11T03:25:02.565037Z",
+     "iopub.status.idle": "2024-04-11T03:25:04.447939Z",
+     "shell.execute_reply": "2024-04-11T03:25:04.445840Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:02.565322Z"
     }
    },
    "outputs": [
@@ -2217,11 +2217,11 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:55.020462Z",
-     "iopub.status.busy": "2024-03-24T23:28:55.019891Z",
-     "iopub.status.idle": "2024-03-24T23:28:56.728031Z",
-     "shell.execute_reply": "2024-03-24T23:28:56.727408Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:55.020413Z"
+     "iopub.execute_input": "2024-04-11T03:25:04.451928Z",
+     "iopub.status.busy": "2024-04-11T03:25:04.451337Z",
+     "iopub.status.idle": "2024-04-11T03:25:06.183898Z",
+     "shell.execute_reply": "2024-04-11T03:25:06.182850Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:04.451886Z"
     }
    },
    "outputs": [
@@ -2242,6 +2242,46 @@
     ")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "And here is plotting only the line in bounds of the data points using `draw_in_bounds=True`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-04-11T03:25:06.185467Z",
+     "iopub.status.busy": "2024-04-11T03:25:06.185097Z",
+     "iopub.status.idle": "2024-04-11T03:25:07.975313Z",
+     "shell.execute_reply": "2024-04-11T03:25:07.974633Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:06.185443Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 700x550 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = fits.plotSera(\n",
+    "    max_viruses_per_subplot=4,\n",
+    "    ncol=2,\n",
+    "    xlabel=\"concentration (ug/ml)\",\n",
+    "    draw_in_bounds=True,\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -2260,14 +2300,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:56.729096Z",
-     "iopub.status.busy": "2024-03-24T23:28:56.728833Z",
-     "iopub.status.idle": "2024-03-24T23:28:57.772193Z",
-     "shell.execute_reply": "2024-03-24T23:28:57.771318Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:56.729060Z"
+     "iopub.execute_input": "2024-04-11T03:25:07.976918Z",
+     "iopub.status.busy": "2024-04-11T03:25:07.976641Z",
+     "iopub.status.idle": "2024-04-11T03:25:08.826674Z",
+     "shell.execute_reply": "2024-04-11T03:25:08.825964Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:07.976900Z"
     }
    },
    "outputs": [
@@ -2299,14 +2339,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:28:57.774166Z",
-     "iopub.status.busy": "2024-03-24T23:28:57.773719Z",
-     "iopub.status.idle": "2024-03-24T23:28:58.389679Z",
-     "shell.execute_reply": "2024-03-24T23:28:58.388990Z",
-     "shell.execute_reply.started": "2024-03-24T23:28:57.774127Z"
+     "iopub.execute_input": "2024-04-11T03:25:08.828690Z",
+     "iopub.status.busy": "2024-04-11T03:25:08.828297Z",
+     "iopub.status.idle": "2024-04-11T03:25:09.557102Z",
+     "shell.execute_reply": "2024-04-11T03:25:09.556255Z",
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    "outputs": [
@@ -2335,14 +2375,14 @@
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   {
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-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {
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    "outputs": [
@@ -2386,14 +2426,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {
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    "outputs": [
@@ -2421,14 +2461,14 @@
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   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "metadata": {
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+     "iopub.execute_input": "2024-04-11T03:25:12.979332Z",
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     }
    },
    "outputs": [
@@ -2460,14 +2500,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:29:02.678373Z",
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-     "shell.execute_reply": "2024-03-24T23:29:03.432589Z",
-     "shell.execute_reply.started": "2024-03-24T23:29:02.678318Z"
+     "iopub.execute_input": "2024-04-11T03:25:13.721603Z",
+     "iopub.status.busy": "2024-04-11T03:25:13.721316Z",
+     "iopub.status.idle": "2024-04-11T03:25:14.391067Z",
+     "shell.execute_reply": "2024-04-11T03:25:14.390358Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:13.721584Z"
     }
    },
    "outputs": [
@@ -2502,14 +2542,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:29:03.434786Z",
-     "iopub.status.busy": "2024-03-24T23:29:03.434493Z",
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-     "shell.execute_reply": "2024-03-24T23:29:07.659437Z",
-     "shell.execute_reply.started": "2024-03-24T23:29:03.434766Z"
+     "iopub.execute_input": "2024-04-11T03:25:14.392756Z",
+     "iopub.status.busy": "2024-04-11T03:25:14.392262Z",
+     "iopub.status.idle": "2024-04-11T03:25:18.347366Z",
+     "shell.execute_reply": "2024-04-11T03:25:18.346175Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:14.392735Z"
     }
    },
    "outputs": [
@@ -2537,14 +2577,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:29:07.661926Z",
-     "iopub.status.busy": "2024-03-24T23:29:07.661625Z",
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-     "shell.execute_reply": "2024-03-24T23:29:12.200521Z",
-     "shell.execute_reply.started": "2024-03-24T23:29:07.661905Z"
+     "iopub.execute_input": "2024-04-11T03:25:18.349640Z",
+     "iopub.status.busy": "2024-04-11T03:25:18.349177Z",
+     "iopub.status.idle": "2024-04-11T03:25:23.021299Z",
+     "shell.execute_reply": "2024-04-11T03:25:23.020209Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:18.349615Z"
     }
    },
    "outputs": [
@@ -2585,14 +2625,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 30,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:29:12.202978Z",
-     "iopub.status.busy": "2024-03-24T23:29:12.202667Z",
-     "iopub.status.idle": "2024-03-24T23:29:14.913196Z",
-     "shell.execute_reply": "2024-03-24T23:29:14.912464Z",
-     "shell.execute_reply.started": "2024-03-24T23:29:12.202958Z"
+     "iopub.execute_input": "2024-04-11T03:25:23.022858Z",
+     "iopub.status.busy": "2024-04-11T03:25:23.022519Z",
+     "iopub.status.idle": "2024-04-11T03:25:25.843664Z",
+     "shell.execute_reply": "2024-04-11T03:25:25.842590Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:23.022836Z"
     }
    },
    "outputs": [
@@ -2633,14 +2673,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 31,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:29:14.914693Z",
-     "iopub.status.busy": "2024-03-24T23:29:14.914335Z",
-     "iopub.status.idle": "2024-03-24T23:29:17.035703Z",
-     "shell.execute_reply": "2024-03-24T23:29:17.034880Z",
-     "shell.execute_reply.started": "2024-03-24T23:29:14.914669Z"
+     "iopub.execute_input": "2024-04-11T03:25:25.845403Z",
+     "iopub.status.busy": "2024-04-11T03:25:25.845054Z",
+     "iopub.status.idle": "2024-04-11T03:25:28.575949Z",
+     "shell.execute_reply": "2024-04-11T03:25:28.575211Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:25.845379Z"
     }
    },
    "outputs": [
@@ -2855,14 +2895,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 32,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:29:17.037109Z",
-     "iopub.status.busy": "2024-03-24T23:29:17.036813Z",
-     "iopub.status.idle": "2024-03-24T23:29:17.054253Z",
-     "shell.execute_reply": "2024-03-24T23:29:17.053476Z",
-     "shell.execute_reply.started": "2024-03-24T23:29:17.037086Z"
+     "iopub.execute_input": "2024-04-11T03:25:28.577621Z",
+     "iopub.status.busy": "2024-04-11T03:25:28.577315Z",
+     "iopub.status.idle": "2024-04-11T03:25:28.597022Z",
+     "shell.execute_reply": "2024-04-11T03:25:28.596058Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:28.577602Z"
     }
    },
    "outputs": [
@@ -2948,7 +2988,7 @@
        "4  BF520.1  H330R          1           1.67                  0.87"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3016,14 +3056,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 33,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:29:17.055895Z",
-     "iopub.status.busy": "2024-03-24T23:29:17.055163Z",
-     "iopub.status.idle": "2024-03-24T23:29:17.616740Z",
-     "shell.execute_reply": "2024-03-24T23:29:17.616200Z",
-     "shell.execute_reply.started": "2024-03-24T23:29:17.055834Z"
+     "iopub.execute_input": "2024-04-11T03:25:28.598225Z",
+     "iopub.status.busy": "2024-04-11T03:25:28.597999Z",
+     "iopub.status.idle": "2024-04-11T03:25:29.134123Z",
+     "shell.execute_reply": "2024-04-11T03:25:29.132727Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:28.598206Z"
     }
    },
    "outputs": [
@@ -3045,14 +3085,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:29:17.618441Z",
-     "iopub.status.busy": "2024-03-24T23:29:17.618019Z",
-     "iopub.status.idle": "2024-03-24T23:29:17.638098Z",
-     "shell.execute_reply": "2024-03-24T23:29:17.637432Z",
-     "shell.execute_reply.started": "2024-03-24T23:29:17.618409Z"
+     "iopub.execute_input": "2024-04-11T03:25:29.136222Z",
+     "iopub.status.busy": "2024-04-11T03:25:29.135838Z",
+     "iopub.status.idle": "2024-04-11T03:25:29.156366Z",
+     "shell.execute_reply": "2024-04-11T03:25:29.155293Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:29.136194Z"
     }
    },
    "outputs": [
@@ -3122,7 +3162,7 @@
        "0  BF520.1  H330R   average            2     5      lower       >5  1.63e+04               5               lower   3.56    1       0 -0.932 0.101"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3145,14 +3185,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:29:17.639284Z",
-     "iopub.status.busy": "2024-03-24T23:29:17.638956Z",
-     "iopub.status.idle": "2024-03-24T23:29:18.825307Z",
-     "shell.execute_reply": "2024-03-24T23:29:18.824431Z",
-     "shell.execute_reply.started": "2024-03-24T23:29:17.639262Z"
+     "iopub.execute_input": "2024-04-11T03:25:29.157969Z",
+     "iopub.status.busy": "2024-04-11T03:25:29.157591Z",
+     "iopub.status.idle": "2024-04-11T03:25:30.701053Z",
+     "shell.execute_reply": "2024-04-11T03:25:30.699513Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:29.157944Z"
     }
    },
    "outputs": [
@@ -3193,14 +3233,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 36,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-24T23:29:18.827017Z",
-     "iopub.status.busy": "2024-03-24T23:29:18.826624Z",
-     "iopub.status.idle": "2024-03-24T23:29:20.245100Z",
-     "shell.execute_reply": "2024-03-24T23:29:20.244415Z",
-     "shell.execute_reply.started": "2024-03-24T23:29:18.826980Z"
+     "iopub.execute_input": "2024-04-11T03:25:30.703561Z",
+     "iopub.status.busy": "2024-04-11T03:25:30.702912Z",
+     "iopub.status.idle": "2024-04-11T03:25:32.155502Z",
+     "shell.execute_reply": "2024-04-11T03:25:32.154264Z",
+     "shell.execute_reply.started": "2024-04-11T03:25:30.703513Z"
     }
    },
    "outputs": [
diff --git a/notebooks/hillcurve_example.ipynb b/notebooks/hillcurve_example.ipynb
index 7a141a0..34c9f53 100644
--- a/notebooks/hillcurve_example.ipynb
+++ b/notebooks/hillcurve_example.ipynb
@@ -65,11 +65,11 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:10.313359Z",
-     "iopub.status.busy": "2024-03-25T00:16:10.312974Z",
-     "iopub.status.idle": "2024-03-25T00:16:17.050633Z",
-     "shell.execute_reply": "2024-03-25T00:16:17.049017Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:10.313325Z"
+     "iopub.execute_input": "2024-04-11T03:21:32.420781Z",
+     "iopub.status.busy": "2024-04-11T03:21:32.420448Z",
+     "iopub.status.idle": "2024-04-11T03:21:36.732965Z",
+     "shell.execute_reply": "2024-04-11T03:21:36.731590Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:32.420746Z"
     }
    },
    "outputs": [],
@@ -91,11 +91,11 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:17.063376Z",
-     "iopub.status.busy": "2024-03-25T00:16:17.062854Z",
-     "iopub.status.idle": "2024-03-25T00:16:17.068135Z",
-     "shell.execute_reply": "2024-03-25T00:16:17.067334Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:17.063333Z"
+     "iopub.execute_input": "2024-04-11T03:21:36.743325Z",
+     "iopub.status.busy": "2024-04-11T03:21:36.742976Z",
+     "iopub.status.idle": "2024-04-11T03:21:36.747400Z",
+     "shell.execute_reply": "2024-04-11T03:21:36.746637Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:36.743297Z"
     }
    },
    "outputs": [],
@@ -121,11 +121,11 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:17.071840Z",
-     "iopub.status.busy": "2024-03-25T00:16:17.071520Z",
-     "iopub.status.idle": "2024-03-25T00:16:17.075348Z",
-     "shell.execute_reply": "2024-03-25T00:16:17.074582Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:17.071817Z"
+     "iopub.execute_input": "2024-04-11T03:21:36.751288Z",
+     "iopub.status.busy": "2024-04-11T03:21:36.750725Z",
+     "iopub.status.idle": "2024-04-11T03:21:36.754503Z",
+     "shell.execute_reply": "2024-04-11T03:21:36.753796Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:36.751263Z"
     }
    },
    "outputs": [],
@@ -138,11 +138,11 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:17.079066Z",
-     "iopub.status.busy": "2024-03-25T00:16:17.078720Z",
-     "iopub.status.idle": "2024-03-25T00:16:17.107888Z",
-     "shell.execute_reply": "2024-03-25T00:16:17.107223Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:17.079038Z"
+     "iopub.execute_input": "2024-04-11T03:21:36.758030Z",
+     "iopub.status.busy": "2024-04-11T03:21:36.757724Z",
+     "iopub.status.idle": "2024-04-11T03:21:36.791537Z",
+     "shell.execute_reply": "2024-04-11T03:21:36.790694Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:36.758006Z"
     }
    },
    "outputs": [
@@ -284,11 +284,11 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:17.111916Z",
-     "iopub.status.busy": "2024-03-25T00:16:17.111686Z",
-     "iopub.status.idle": "2024-03-25T00:16:17.118923Z",
-     "shell.execute_reply": "2024-03-25T00:16:17.118202Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:17.111894Z"
+     "iopub.execute_input": "2024-04-11T03:21:36.795421Z",
+     "iopub.status.busy": "2024-04-11T03:21:36.795090Z",
+     "iopub.status.idle": "2024-04-11T03:21:36.802617Z",
+     "shell.execute_reply": "2024-04-11T03:21:36.801800Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:36.795394Z"
     }
    },
    "outputs": [],
@@ -309,11 +309,11 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:17.123353Z",
-     "iopub.status.busy": "2024-03-25T00:16:17.123020Z",
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-     "shell.execute_reply": "2024-03-25T00:16:17.127123Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:17.123326Z"
+     "iopub.execute_input": "2024-04-11T03:21:36.806493Z",
+     "iopub.status.busy": "2024-04-11T03:21:36.806189Z",
+     "iopub.status.idle": "2024-04-11T03:21:36.810951Z",
+     "shell.execute_reply": "2024-04-11T03:21:36.810265Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:36.806469Z"
     }
    },
    "outputs": [
@@ -355,11 +355,11 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:17.131390Z",
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-     "shell.execute_reply.started": "2024-03-25T00:16:17.131365Z"
+     "iopub.execute_input": "2024-04-11T03:21:36.815577Z",
+     "iopub.status.busy": "2024-04-11T03:21:36.815051Z",
+     "iopub.status.idle": "2024-04-11T03:21:36.824311Z",
+     "shell.execute_reply": "2024-04-11T03:21:36.823423Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:36.815554Z"
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    },
    "outputs": [
@@ -403,11 +403,11 @@
    "execution_count": 8,
    "metadata": {
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-     "iopub.execute_input": "2024-03-25T00:16:17.141011Z",
-     "iopub.status.busy": "2024-03-25T00:16:17.140692Z",
-     "iopub.status.idle": "2024-03-25T00:16:17.145309Z",
-     "shell.execute_reply": "2024-03-25T00:16:17.144530Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:17.140985Z"
+     "iopub.execute_input": "2024-04-11T03:21:36.828566Z",
+     "iopub.status.busy": "2024-04-11T03:21:36.828013Z",
+     "iopub.status.idle": "2024-04-11T03:21:36.832410Z",
+     "shell.execute_reply": "2024-04-11T03:21:36.831574Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:36.828537Z"
     }
    },
    "outputs": [
@@ -446,11 +446,11 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:17.146608Z",
-     "iopub.status.busy": "2024-03-25T00:16:17.146265Z",
-     "iopub.status.idle": "2024-03-25T00:16:17.150767Z",
-     "shell.execute_reply": "2024-03-25T00:16:17.150014Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:17.146585Z"
+     "iopub.execute_input": "2024-04-11T03:21:36.836413Z",
+     "iopub.status.busy": "2024-04-11T03:21:36.835869Z",
+     "iopub.status.idle": "2024-04-11T03:21:36.840549Z",
+     "shell.execute_reply": "2024-04-11T03:21:36.839734Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:36.836389Z"
     }
    },
    "outputs": [
@@ -484,11 +484,11 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:17.152404Z",
-     "iopub.status.busy": "2024-03-25T00:16:17.152081Z",
-     "iopub.status.idle": "2024-03-25T00:16:17.157138Z",
-     "shell.execute_reply": "2024-03-25T00:16:17.156321Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:17.152379Z"
+     "iopub.execute_input": "2024-04-11T03:21:36.844557Z",
+     "iopub.status.busy": "2024-04-11T03:21:36.844213Z",
+     "iopub.status.idle": "2024-04-11T03:21:36.849342Z",
+     "shell.execute_reply": "2024-04-11T03:21:36.848250Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:36.844530Z"
     }
    },
    "outputs": [
@@ -528,11 +528,11 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:17.158441Z",
-     "iopub.status.busy": "2024-03-25T00:16:17.158117Z",
-     "iopub.status.idle": "2024-03-25T00:16:17.779460Z",
-     "shell.execute_reply": "2024-03-25T00:16:17.778697Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:17.158415Z"
+     "iopub.execute_input": "2024-04-11T03:21:36.854962Z",
+     "iopub.status.busy": "2024-04-11T03:21:36.854215Z",
+     "iopub.status.idle": "2024-04-11T03:21:37.840581Z",
+     "shell.execute_reply": "2024-04-11T03:21:37.839342Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:36.854920Z"
     }
    },
    "outputs": [
@@ -570,11 +570,11 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:17.781246Z",
-     "iopub.status.busy": "2024-03-25T00:16:17.780860Z",
-     "iopub.status.idle": "2024-03-25T00:16:17.980355Z",
-     "shell.execute_reply": "2024-03-25T00:16:17.979647Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:17.781219Z"
+     "iopub.execute_input": "2024-04-11T03:21:37.847040Z",
+     "iopub.status.busy": "2024-04-11T03:21:37.846513Z",
+     "iopub.status.idle": "2024-04-11T03:21:38.056623Z",
+     "shell.execute_reply": "2024-04-11T03:21:38.055549Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:37.847000Z"
     }
    },
    "outputs": [
@@ -596,6 +596,41 @@
     "_ = ax2.set_xlabel(\"log10 concentration\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also plot the curve only in the bounds of the data using the `draw_in_bounds=True` option:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-04-11T03:21:38.060736Z",
+     "iopub.status.busy": "2024-04-11T03:21:38.060525Z",
+     "iopub.status.idle": "2024-04-11T03:21:38.330607Z",
+     "shell.execute_reply": "2024-04-11T03:21:38.328710Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:38.060715Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = curve.plot(xlabel=\"concentration (ug/ml)\", draw_in_bounds=True)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -608,14 +643,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:17.981777Z",
-     "iopub.status.busy": "2024-03-25T00:16:17.981546Z",
-     "iopub.status.idle": "2024-03-25T00:16:17.986876Z",
-     "shell.execute_reply": "2024-03-25T00:16:17.986270Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:17.981755Z"
+     "iopub.execute_input": "2024-04-11T03:21:38.342069Z",
+     "iopub.status.busy": "2024-04-11T03:21:38.341364Z",
+     "iopub.status.idle": "2024-04-11T03:21:38.348243Z",
+     "shell.execute_reply": "2024-04-11T03:21:38.347365Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:38.342042Z"
     }
    },
    "outputs": [
@@ -625,7 +660,7 @@
        "0.996"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -645,14 +680,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-25T00:16:17.988494Z",
-     "iopub.status.busy": "2024-03-25T00:16:17.988229Z",
-     "iopub.status.idle": "2024-03-25T00:16:17.993775Z",
-     "shell.execute_reply": "2024-03-25T00:16:17.993054Z",
-     "shell.execute_reply.started": "2024-03-25T00:16:17.988469Z"
+     "iopub.execute_input": "2024-04-11T03:21:38.349588Z",
+     "iopub.status.busy": "2024-04-11T03:21:38.349244Z",
+     "iopub.status.idle": "2024-04-11T03:21:38.354764Z",
+     "shell.execute_reply": "2024-04-11T03:21:38.353942Z",
+     "shell.execute_reply.started": "2024-04-11T03:21:38.349567Z"
     }
    },
    "outputs": [
@@ -662,7 +697,7 @@
        "0.028"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }