Easier time series plotting.

analysis/python/jupyter/notebook_example.ipynb

@@ -14,7 +14,16 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Here we read data from the run directory"
+    "### Here we read data from the run directory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "meshdir  = \"/scratch/data/mvaisala/iotest/\""
    ]
   },
   {
@@ -24,7 +33,6 @@
    "outputs": [],
    "source": [
     "imesh = 0\n",
-    "meshdir  = \"/scratch/data/mvaisala/iotest/\"\n",
     "mesh = ad.read.Mesh(imesh, fdir=meshdir)"
    ]
   },
@@ -32,7 +40,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Example visualization funtion call. "
+    "### Example visualization funtion call. "
    ]
   },
   {
@@ -46,6 +54,38 @@
     "vis.slices.plot_3(mesh, mesh.uu[0], title = r'$u_x$', bitmap = False, fname = 'uux')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Ploting time series"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts = ad.read.TimeSeries(fdir=meshdir)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vis.lineplot.plot_ts(ts, lnrho=1, uutot=1, uux=1, ss=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,