Measurement Data: Add PT1000 measurements (current SW).

measurement-data/Analog_Measurement_Analysis.ipynb

@@ -344,10 +344,9 @@
    "outputs": [],
    "source": [
     "# Read in data\n",
-    "kilo_ohm_sampling1 = pd.read_csv(r'1000OhmSampling1ms.csv')\n",
+    "kilo_ohm_sampling1 = pd.read_csv(r'1000OhmSamplingFixedStableCircuit.csv')\n",
-    "kilo_ohm_sampling2 = pd.read_csv(r'1000OhmSampling1ms_later.csv')\n",
+    "kilo_ohm_sampling1_ht = pd.read_csv(r'1000OhmSamplingFixedStableCircuitHT.csv')\n",
-    "kilo_ohm_sampling2_fast = pd.read_csv(r'1000OhmSamplingTimerTriggered800ARR.csv')\n",
+    "plot_data_tuples = [(kilo_ohm_sampling1, 'Day 1 Sampling -- Stable circuit -- RT'), (kilo_ohm_sampling1_ht, 'Day 1 Sampling -- Stable circuit -- HT')]\n"
-    "plot_data_tuples = [(kilo_ohm_sampling1, 'Day 1 Sampling'), (kilo_ohm_sampling2, 'Day 2 sampling'), (kilo_ohm_sampling2_fast,'Day 2 sampling faster (ARR=700)')]\n"
    ]
   },
   {
@@ -360,14 +359,17 @@
     "# def plot_histogram(ax, data, bin_count, title, signal_name):\n",
     "# def calculate_temp_for_df(data_frame, resistance_col_name='ext_lf_corr', temp_col_name='temp_calculated'):\n",
     "\n",
-    "fig, axes = plt.subplots(nrows=len(plot_data_tuples), ncols=2, sharex='col', figsize=(28, 16))\n",
+    "fig, axes = plt.subplots(nrows=len(plot_data_tuples), ncols=2, sharex='col', figsize=(28, 8*len(plot_data_tuples)))\n",
+    "\n",
+    "if len(plot_data_tuples) == 1:\n",
+    "    axes = [axes]\n",
     "\n",
     "for df, title in plot_data_tuples:\n",
-    "    calculate_temp_for_df(df, resistance_col_name='pt1000_res_raw_lf')\n",
+    "    calculate_temp_for_df(df, resistance_col_name='pt1000_value')\n",
     "\n",
     "for (df,title),ax in zip(plot_data_tuples, axes):\n",
-    "    plot_histogram(ax[0], df['pt1000_res_raw_lf'], 20, title, 'PT1000 Resistance')\n",
+    "    plot_histogram(ax[0], df['pt1000_value'], 5, title, 'PT1000 Resistance')\n",
-    "    plot_histogram(ax[1], df['temp_calculated'], 20, title, 'Calculated Temperature in °C')\n",
+    "    plot_histogram(ax[1], df['temp_calculated'], 5, title, 'Calculated Temperature in °C')\n",
     "\n",
     "plt.tight_layout()\n",
     "plt.show()"
@@ -379,7 +381,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "calc_temp(1097)"
+    "calc_temp(1100)"
    ]
   }
  ],