diff --git a/README.md b/README.md
index d81283a..11794b3 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,7 @@
 Tools to load hydrographic data as pandas DataFrame with some handy methods for
 data pre-processing and analysis
 
-This module can load [SeaBird CTD (CNV)](https://www.seabird.com/software/SBEDataProcforWindows.htm),
+This module can load [SeaBird CTD (CNV)](https://www.seabird.com/),
 [Sippican XBT (EDF)](https://www.lockheedmartin.com/en-us/products/oceanographic-instrumentation.html),
 and [Falmouth CTD (ASCII)](https://www.falmouth.com/) formats.
 
diff --git a/ctd/plotting.py b/ctd/plotting.py
index 0aada6c..a8ec726 100644
--- a/ctd/plotting.py
+++ b/ctd/plotting.py
@@ -40,7 +40,7 @@ def plot_cast(df, secondary_y=False, label=None, ax=None, *args, **kwargs):
 
     if isinstance(df, pd.DataFrame):
         labels = label if label else df.columns
-        for k, (col, series) in enumerate(df.iteritems()):
+        for k, (col, series) in enumerate(df.items()):
             ax.plot(series, series.index, label=labels[k])
     elif isinstance(df, pd.Series):
         label = label if label else str(df.name)
diff --git a/ctd/read.py b/ctd/read.py
index c0544f5..9135cff 100644
--- a/ctd/read.py
+++ b/ctd/read.py
@@ -269,7 +269,7 @@ def from_btl(fname):
     df["Bottle"] = df["Bottle"].fillna(method="ffill")
     df["Date"] = df["Date"].fillna(method="ffill")
 
-    df["Statistic"] = df["Statistic"].str.replace(r"\(|\)", "")  # (avg) to avg
+    df["Statistic"] = df["Statistic"].str.lstrip("(").str.rstrip(")")  # (avg) to avg
 
     if "name" not in metadata:
         name = _basename(fname)[1]
diff --git a/notebooks/quick_intro.ipynb b/notebooks/quick_intro.ipynb
index 6d060b3..d28ca57 100644
--- a/notebooks/quick_intro.ipynb
+++ b/notebooks/quick_intro.ipynb
@@ -82,15 +82,13 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline\n",
-    "\n",
     "from matplotlib import style\n",
     "\n",
-    "style.use(\"seaborn-whitegrid\")\n",
     "\n",
+    "style.use(\"seaborn-v0_8-whitegrid\")\n",
     "\n",
     "down[\"t090C\"].plot_cast()\n",
-    "down[\"c0S/m\"].plot_cast()"
+    "down[\"c0S/m\"].plot_cast();"
    ]
   },
   {
@@ -171,6 +169,7 @@
    "source": [
     "import matplotlib.pyplot as plt\n",
     "\n",
+    "\n",
     "fig, ax = plt.subplots()\n",
     "ax.plot(down.index, label=\"unfiltered\")\n",
     "ax.plot(down.lp_filter().index, label=\"filtered\")\n",
@@ -234,6 +233,7 @@
    "source": [
     "import gsw\n",
     "\n",
+    "\n",
     "p = proc.index\n",
     "\n",
     "SP = gsw.SP_from_C(proc[\"c0S/m\"].to_numpy() * 10.0, proc[\"t090C\"].to_numpy(), p)\n",
@@ -360,7 +360,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.6"
   }
  },
  "nbformat": 4,