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question: D3 Q1

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DBras 2024-06-10 11:45:01 +02:00
parent 2a6fc39dc0
commit 3207c3f51f
1 changed files with 6 additions and 3 deletions
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demo_plotter.py
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@ -35,16 +35,19 @@ else:
data = meas_data data = meas_data
################################################################################
################## Question 1 ##################################################
################################################################################
# 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.
df = pd.DataFrame.from_records(data) df = pd.DataFrame.from_records(data)
df_pivot = df.pivot_table(values='value', columns='unit', index='time') df_pivot = df.pivot_table(values='value', columns='unit', index='time')
# 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 = plt.subplot(211) # Make two separate figures ax1 = plt.subplot(211) # Make two separate figures
ax2 = plt.subplot(212) ax2 = plt.subplot(212)
df_pivot[[c for c in df_pivot.columns if "_p" in c]].plot(marker='.', ax=ax1, linewidth=3) df_pivot['pcc_p'].plot(marker='.', ax=ax1, linewidth=3)
df_pivot[[c for c in df_pivot.columns if "_q" in c]].plot(marker='.', ax=ax2, linewidth=3) df_pivot['pcc_q'].plot(marker='.', ax=ax1, linewidth=3)
plt.show(block=True) plt.show(block=True)