Easier time series plotting.

analysis/python/astar/data/read.py

@@ -118,6 +118,7 @@ def parse_ts(fdir, fname):
         line[i] = line[i].replace('_total', "tot")
         line[i] = line[i].replace('A', "aa")
         line[i] = line[i].replace('LNRHO', "lnrho")
+        line[i] = line[i].replace('ENTROPY', "ss")
         line[i] = line[i].replace('X', "x")
         line[i] = line[i].replace('Y', "y")
         line[i] = line[i].replace('Z', "z")

analysis/python/astar/visual/__init__.py

@@ -19,3 +19,4 @@
 
 
 from . import slices
+from . import lineplot

analysis/python/astar/visual/lineplot.py

@@ -0,0 +1,93 @@
+'''
+    Copyright (C) 2014-2019, Johannes Pekkilae, Miikka Vaeisalae.
+
+    This file is part of Astaroth.
+
+    Astaroth is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    Astaroth is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with Astaroth.  If not, see <http://www.gnu.org/licenses/>.
+'''
+import pylab as plt 
+import numpy as np 
+import matplotlib.gridspec as gridspec
+import matplotlib.colors as colors
+
+CM_INFERNO = plt.get_cmap('inferno')
+
+end_rm = -1 #-35#-40
+
+def plot_min_man_rms(ts, xaxis, yaxis1, yaxis2, yaxis3):
+    plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis1][:end_rm], label=yaxis1)
+    plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis2][:end_rm], label=yaxis2)
+    plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis3][:end_rm], label=yaxis3)
+    plt.xlabel(xaxis)
+    plt.legend()
+
+def plot_ts(ts, show_all=False, lnrho=False, uutot=False, uux=False, uuy=False, uuz=False, ss=False):
+
+    if show_all:
+        lnrho=True
+        uutot=True
+        uux=True
+        uuy=True
+        uuz=True
+        ss=True
+
+    if lnrho:
+        plt.figure()
+        xaxis  = 't_step'
+        yaxis1 = 'lnrho_rms'
+        yaxis2 = 'lnrho_min'
+        yaxis3 = 'lnrho_max'
+        plot_min_man_rms(ts, xaxis, yaxis1, yaxis2, yaxis3)
+     
+    if uutot:   
+        plt.figure()
+        xaxis = 't_step'
+        yaxis1 = 'uutot_rms'
+        yaxis2 = 'uutot_min'
+        yaxis3 = 'uutot_max'
+        plot_min_man_rms(ts, xaxis, yaxis1, yaxis2, yaxis3)
+        
+    if uux:   
+        plt.figure()
+        xaxis = 't_step'
+        yaxis1 = 'uux_rms'
+        yaxis2 = 'uux_min'
+        yaxis3 = 'uux_max'
+        plot_min_man_rms(ts, xaxis, yaxis1, yaxis2, yaxis3)
+        
+    if uuy:   
+        plt.figure()
+        xaxis = 't_step'
+        yaxis1 = 'uuy_rms'
+        yaxis2 = 'uuy_min'
+        yaxis3 = 'uuy_max'
+        plot_min_man_rms(ts, xaxis, yaxis1, yaxis2, yaxis3)
+        
+    if uuz:   
+        plt.figure()
+        xaxis = 't_step'
+        yaxis1 = 'uuz_rms'
+        yaxis2 = 'uuz_min'
+        yaxis3 = 'uuz_max'
+        plot_min_man_rms(ts, xaxis, yaxis1, yaxis2, yaxis3)
+  
+    if ss:   
+        plt.figure()
+        xaxis = 't_step'
+        yaxis1 = 'ss_rms'
+        yaxis2 = 'ss_min'
+        yaxis3 = 'ss_max'
+        plot_min_man_rms(ts, xaxis, yaxis1, yaxis2, yaxis3)
+  
+    plt.show()

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,

analysis/python/samples/readtest.py

@@ -199,65 +199,6 @@ if 'sl' in sys.argv:
 
 if 'ts' in sys.argv:
    ts = ad.read.TimeSeries(fdir=meshdir)
-
-   end_rm = -1 #-35#-40
-
-   plt.figure()
-   xaxis  = 't_step'
-   yaxis1 = 'lnrho_rms'
-   yaxis2 = 'lnrho_min'
-   yaxis3 = 'lnrho_max'
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis1][:end_rm], label=yaxis1)
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis2][:end_rm], label=yaxis2)
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis3][:end_rm], label=yaxis3)
-   plt.xlabel(xaxis)
-   plt.legend()
-  
-   plt.figure()
-   xaxis = 't_step'
-   yaxis1 = 'uutot_rms'
-   yaxis2 = 'uutot_min'
-   yaxis3 = 'uutot_max'
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis1][:end_rm], label=yaxis1)
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis2][:end_rm], label=yaxis2)
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis3][:end_rm], label=yaxis3)
-   plt.xlabel(xaxis)
-   plt.legend()
-
-   plt.figure()
-   xaxis = 't_step'
-   yaxis1 = 'uux_rms'
-   yaxis2 = 'uux_min'
-   yaxis3 = 'uux_max'
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis1][:end_rm], label=yaxis1)
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis2][:end_rm], label=yaxis2)
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis3][:end_rm], label=yaxis3)
-   plt.xlabel(xaxis)
-   plt.legend()
-  
-   plt.figure()
-   xaxis = 't_step'
-   yaxis1 = 'uuy_rms'
-   yaxis2 = 'uuy_min'
-   yaxis3 = 'uuy_max'
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis1][:end_rm], label=yaxis1)
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis2][:end_rm], label=yaxis2)
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis3][:end_rm], label=yaxis3)
-   plt.xlabel(xaxis)
-   plt.legend()
-  
-   plt.figure()
-   xaxis = 't_step'
-   yaxis1 = 'uuz_rms'
-   yaxis2 = 'uuz_min'
-   yaxis3 = 'uuz_max'
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis1][:end_rm], label=yaxis1)
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis2][:end_rm], label=yaxis2)
-   plt.plot(ts.var[xaxis][:end_rm], ts.var[yaxis3][:end_rm], label=yaxis3)
-   plt.xlabel(xaxis)
-   plt.legend()
-  
-  
-   plt.show()
+   vis.lineplot.plot_ts(ts, lnrho=1, uutot=1, uux=1, ss=1)