question: D3 Q3

demo_plotter.py

@@ -36,7 +36,7 @@ else:
 
 
 ################################################################################
-################## Question 2 ##################################################
+################## Question 3 ##################################################
 ################################################################################
 
 # Construct a dataframe and pivot it to obtain a dataframe with a column per unit, and a row per timestamp.
@@ -46,12 +46,22 @@ 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)
+df_gaia = df_resampled['gaia_p']
+df_gaia_diffs = df_gaia.diff()
+gaia_min, gaia_max = df_gaia.min(), df_gaia.max()
+diff_min, diff_max = df_gaia_diffs.min(), df_gaia_diffs.max()
+
+print(f'{gaia_min=}, {gaia_max=}')
+print(f'{diff_min=}, {diff_max=}')
 
 # Plot the data. Note, that the data will mostly not be plotted with lines.
 plt.ion()  # Turn interactive mode on
 plt.figure()
-ax1 = plt.subplot(211)  # Make two separate figures
-ax2 = plt.subplot(212)
-df_resampled[[c for c in df_resampled.columns if c.endswith('_p')]].plot(marker='.', ax=ax1, linewidth=3)
-df_resampled[[c for c in df_resampled.columns if c.endswith('_q')]].plot(marker='.', ax=ax2, linewidth=3)
+ax1, ax2 = plt.subplot(211), plt.subplot(212)
+df_gaia.plot(marker='.', ax=ax1, linewidth=3)
+ax1.hlines([gaia_min, gaia_max], df_gaia.index.min(), df_gaia.index.max(), color='r')
+df_gaia_diffs.plot(marker='.', ax=ax2, linewidth=3)
 plt.show(block=True)
+
+## gaia_min=0.62, gaia_max=7.085
+## diff_min=-1.963, diff_max=1.3210000000000002