Findingbadfreqs

FindingBadFreqs.ipynb

@@ -0,0 +1,99 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from observation import Observation\n",
+    "from folding import timeFolding\n",
+    "import numpy as np\n",
+    "from matplotlib.pyplot import subplots, show\n",
+    "from dispersionMeasure import dedispersion"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "obs = Observation(\"examples/huispulsar_filterbank/2017-09-20-07:05:00_B0329+54.fil\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "folded = timeFolding(obs.data, 500, obs.pulsar.period, obs.data==0, obs.times)\n",
+    "foldedscaled = (folded - folded.mean(axis=0))/folded.std(axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = subplots()\n",
+    "ax.matshow(foldedscaled)\n",
+    "show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "obs2 = Observation(\"examples/B1133+16_filterbank/2018-01-19-21:16:50_B1133+16.fil\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "folded2 = timeFolding(obs2.data, 500, obs2.pulsar.period, obs2.data==0, obs2.times)\n",
+    "foldedscaled2 = (folded2 - folded2.mean(axis=0))/folded2.std(axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = subplots()\n",
+    "dedisp=dedispersion(folded, obs, obs.pulsar.period, obs.pulsar.DM)\n",
+    "ax.plot(dedisp)\n",
+    "show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

paramObj.py

@@ -19,13 +19,9 @@ class AttrDict(dict):
      """ Dictionary subclass whose entries can be accessed by attributes
          (as well as normally).
      """
-     def __init__(self, *args, dict_data=None, **kwargs):
-         if dict_data is None:
-             super(AttrDict, self).__init__(*args, **kwargs)
-             self.__dict__ = self
-         else:
-             super(AttrDict, self).__init__(self.from_nested_dict(dict_data))
-             self.__dict__ = self
+     def __init__(self, *args, **kwargs):
+         super(AttrDict, self).__init__(*args, **kwargs)
+         self.__dict__ = self
 
      @staticmethod
      def from_nested_dict(data):
@@ -63,7 +59,7 @@ def __init__(self,paramyml, defaults=Path(__file__).parent/'defaults.yml'):
         # Input validation can happen here
         assert 'FileName' in usercfg, 'Provide observation parameters'
         assert 'Output' in usercfg, 'Provide output information'
-        super(Config, self).__init__(dict_data=cfg) # Magic...
+        super(Config, self).__init__(AttrDict.from_nested_dict(cfg)) # Magic...
 
-        self.usercfg = AttrDict(usercfg)
-        self.defaults= AttrDict(defaults)
+        self.usercfg = AttrDict.from_nested_dict(usercfg)
+        self.defaults= AttrDict.from_nested_dict(defaults)