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question: D3 Q4

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DBras 2024-06-10 14:15:17 +02:00
parent 563be46da6
commit fa6eda5c16
1 changed files with 7 additions and 14 deletions
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demo_plotter.py
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@ -36,7 +36,7 @@ else:
################################################################################ ################################################################################
################## Question 3 ################################################## ################## Question 4 ##################################################
################################################################################ ################################################################################
# Construct a dataframe and pivot it to obtain a dataframe with a column per unit, and a row per timestamp. # Construct a dataframe and pivot it to obtain a dataframe with a column per unit, and a row per timestamp.
@ -46,22 +46,15 @@ df_pivot = df.pivot_table(values='value', columns='unit', index='time')
df_resampled = df_pivot.resample('s').mean() df_resampled = df_pivot.resample('s').mean()
df_resampled.interpolate(method='linear', inplace=True) df_resampled.interpolate(method='linear', inplace=True)
df_resampled = pd.DataFrame(df_resampled) df_resampled = pd.DataFrame(df_resampled)
df_gaia = df_resampled['gaia_p'] df_resampled['common_p'] = df_resampled[[c for c in df_resampled if '_p' in c
df_gaia_diffs = df_gaia.diff() and c != 'pcc_p']].sum(axis=1) * -1
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. # Plot the data. Note, that the data will mostly not be plotted with lines.
plt.ion() # Turn interactive mode on plt.ion() # Turn interactive mode on
plt.figure() plt.figure()
ax1, ax2 = plt.subplot(211), plt.subplot(212) plt.plot(df_resampled['pcc_p'])
df_gaia.plot(marker='.', ax=ax1, linewidth=3) plt.plot(df_resampled['common_p'])
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) plt.show(block=True)
## gaia_min=0.62, gaia_max=7.085 ## The controller seems to balance in and out from the grid. Differences are
## diff_min=-1.963, diff_max=1.3210000000000002 ## probably from interpolation and resampling.