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Graphics.py
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Graphics.py
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import pandas as pd
import Compute
import Utilities
import matplotlib.pyplot as plt
from math import nan
def fig_dataset():
y1_ed, y2_er, y3_soc = Utilities.get_data()
x = list(range(len(y1_ed)))
fig = plt.figure(figsize=(8,6))
ax = plt.gca()
ax.set_xlabel("time")
ax.set_ylabel("kWh")
plt.plot(x, y1_ed, label="Energy delivered", color="tab:green")
plt.plot(x, y2_er, label="Energy received", color="darkred")
ax2 = ax.twinx()
ax2.set_ylabel("%")
ax2.plot(x, y3_soc, label="State Of Charge")
ax.legend(loc=0)
ax2.legend(loc=1)
plt.savefig(Utilities.FIGURE1_FPATH, dpi=500)
fig.show()
def plot_trip_extremes():
_y1_ed, _y2_er, y3_soc = Utilities.get_data()
x = list(range(len(y3_soc)))
trips = Compute.process_roundtrips()
trip_starts = [t.start_idx for t in trips]
trip_ends = [t.end_idx for t in trips]
fig = plt.figure(figsize=(8, 6))
ax = plt.gca()
ax.set_xlabel("time")
ax.set_ylabel("%")
ax.plot(x, y3_soc, label="State Of Charge")
y_scatter = []
for i in range(len(y3_soc)):
if i in trip_starts:
y_scatter.append(y3_soc[i])
else:
y_scatter.append(nan)
plt.scatter(x, y_scatter, color='green', marker="o", label="trip start")
y_scatter2 = []
for i in range(len(y3_soc)):
if i in trip_ends:
y_scatter2.append(y3_soc[i])
else:
y_scatter2.append(nan)
plt.scatter(x, y_scatter2, color='red', marker=8, label="trip end")
ax.legend(loc=4)
plt.grid()
plt.savefig("figure_trips.png", dpi=500)
fig.show()