From e6c47bac4e44abd983da931b8ad5cf9d9af2c7dc Mon Sep 17 00:00:00 2001
From: DBras <danielbrasholt@gmail.com>
Date: Mon, 10 Jun 2024 14:54:10 +0200
Subject: [PATCH] dev: plotting file without fluff

---
 plotter.py | 28 ++++++++++++++++++++++++++++
 1 file changed, 28 insertions(+)
 create mode 100755 plotter.py

diff --git a/plotter.py b/plotter.py
new file mode 100755
index 0000000..88275c4
--- /dev/null
+++ b/plotter.py
@@ -0,0 +1,28 @@
+#!./venv/bin/python3
+import pandas as pd
+import json
+import matplotlib.pyplot as plt
+import os
+
+DATA_MEAS_DIR = 'data/measurements'
+SPECIFIC_FILE = ''
+MEAS_LOG_FILE = sorted(os.listdir(DATA_MEAS_DIR))[-1] if not SPECIFIC_FILE else SPECIFIC_FILE
+
+with open(os.path.join(DATA_MEAS_DIR, MEAS_LOG_FILE)) as f:
+    meas_data = [json.loads(line) for line in f]
+data = meas_data
+
+df = pd.DataFrame.from_records(data)
+df['time'] = pd.to_datetime(df['time'], unit='s')
+df_pivot = df.pivot_table(values='value', columns='unit', index='time')
+df_resampled = df_pivot.resample('s').mean()
+df_resampled.interpolate(method='linear', inplace=True)
+df_resampled = pd.DataFrame(df_resampled)
+
+# Plot the data. Note, that the data will mostly not be plotted with lines.
+plt.ion()  # Turn interactive mode on
+plt.figure()
+ax1, ax2 = plt.subplot(211), plt.subplot(212)
+df_resampled[[c for c in df_resampled.columns if '_p' in c]].plot(marker='.', ax=ax1, linewidth=3)
+df_resampled[[c for c in df_resampled.columns if '_q' in c]].plot(marker='.', ax=ax2, linewidth=3)
+plt.show(block=True)