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data_verwerking.py
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data_verwerking.py
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# 'Github Copilot' was used as a tool whilst writing this code.
from matplotlib import pyplot as plt
from matplotlib import ticker
from matplotlib import dates as mdates
from matplotlib.widgets import Button
import datetime
import os
import numpy as np
# DISCLAIMER:
# This code will only work when the datafile has the following format:
# 2023-10-24 15:55:20.909942|1,31|2,31|3,31|4,31
# The first digit is voltage, the second is current
# Function that reads a file, and plots it if 'plot' is true
# The setup variable is a list that contains the setups you would like to process. If none, all setups will be processed
def read_file(path,
plot: bool = False,
setup: list = [1, 2, 3, 4],
difference_toggle: bool = False,
annotate_max: bool = False,
plot_type: str = "w",
plot_title: str = "PWS draaiende zonnepanelen",
start_date: datetime.datetime = datetime.datetime(1, 1, 1, 0, 0, 0),
end_date: datetime.datetime = datetime.datetime.now()
):
# Check if the file exists
if not os.path.exists(path):
print("INFO | Files not found, please run dataCollection.py first.")
else:
print("INFO | Data file found, reading it now.")
time_values = []
power_values = {}
voltage_values = {}
current_values = {}
yield_values = {}
difference_values = []
difference_temp = []
label_dict = {
"w": {"label": "Vermogen (W)", "unit": "W"},
"v": {"label": "Spanning (V)", "unit": "V"},
"a": {"label": "Stroomsterkte (A)", "unit": "A"},
"y": {"label": "Opbrengst (Wh)", "unit": "Wh"}
}
# Read the file
file = open(path, "r")
lines = file.readlines()
line_number = 0
error_lines = []
# Make variable layout
for i in setup:
if plot_type == "all":
power_values[f"setup_{i}"] = []
voltage_values[f"setup_{i}"] = []
current_values[f"setup_{i}"] = []
yield_values[f"setup_{i}"] = [0]
if plot_type == "y":
power_values[f"setup_{i}"] = [0]
else:
power_values[f"setup_{i}"] = []
# Make sure difference_toggle isn't true when there less or more than 2 setups selected
if difference_toggle:
if len(setup) != 2 or plot_type == "all":
print("INFO | difference_toggle was set to false because there are more than 2 setup's selected.")
difference_toggle = False
# Process the file
for line in lines:
line_number += 1
try:
split_line = line.split("|")
except:
print(f"ERROR | Error splitting line {line_number} into sensors.")
error_lines.append(line_number)
continue
try:
# This is statement checks if the datapoint being checked is within the given time range
if start_date <= datetime.datetime.strptime(split_line[0], "%Y-%m-%d %H:%M:%S.%f") <= end_date:
# This if statement checks for "\n" at the end of the line, and removes it
if "\n" in split_line[4]:
split_line[4] = split_line[4][:-1]
# No try-except here because the if statement would have failed before this.
# Add all the time values to the time_values list
time_values.append(datetime.datetime.strptime(split_line[0], "%Y-%m-%d %H:%M:%S.%f"))
# Add all the data to the corresponding lists
for i in setup:
try:
values = split_line[i].split(",")
if plot_type == "all":
power_values[f"setup_{i}"].append(float(values[0]) * float(values[1]))
voltage_values[f"setup_{i}"].append(float(values[0]))
current_values[f"setup_{i}"].append(float(values[1]))
if time_values[-1].hour == 0 and time_values[-1].minute in [0, 1]:
yield_values[f"setup_{i}"].append(0 + ((float(values[0]) * float(values[1])) * 2*60 / 3600))
else:
yield_values[f"setup_{i}"].append(yield_values[f"setup_{i}"][-1] + ((float(values[0]) * float(values[1])) * 2*60 / 3600))
elif plot_type == "w":
power_values[f"setup_{i}"].append(float(values[0]) * float(values[1]))
if difference_toggle:
difference_temp.append(float(values[0]) * float(values[1]))
elif plot_type == "v":
power_values[f"setup_{i}"].append(float(values[0]))
if difference_toggle:
difference_temp.append(float(values[0]))
elif plot_type == "a":
power_values[f"setup_{i}"].append(float(values[1]))
if difference_toggle:
difference_temp.append(float(values[1]))
elif plot_type == "y":
if time_values[-1].hour == 0 and time_values[-1].minute in [0, 1]:
power_values[f"setup_{i}"].append(0 + ((float(values[0]) * float(values[1])) * 2 * 60 / 3600))
if difference_toggle:
difference_temp.append(0 + ((float(values[0]) * float(values[1])) * 2 * 60 / 3600))
else:
power_values[f"setup_{i}"].append(power_values[f"setup_{i}"][-1] + ((float(values[0]) * float(values[1])) * 2 * 60 / 3600))
if difference_toggle:
difference_temp.append(power_values[f"setup_{i}"][-1] + ((float(values[0]) * float(values[1])) * 2 * 60 / 3600))
except Exception as e:
print(f"ERROR | Error whilst getting the value from line {line_number} - {e}")
error_lines.append(line_number)
continue
if difference_toggle:
difference_values.append(abs(difference_temp[0] - difference_temp[1]))
difference_temp = []
except Exception as e:
print(f"ERROR | Error whilst getting time from line {line_number} - {e}")
error_lines.append(line_number)
continue
else:
continue
# Remove the first value from the yield_values list
if plot_type in ["y", "all"]:
for i in setup:
if plot_type == "all":
yield_values[f"setup_{i}"].pop(0)
if plot_type == "y":
power_values[f"setup_{i}"].pop(0)
# Print error and other info
print("INFO | Done reading file.")
if len(error_lines) > 0:
print(f"ERROR | Errors found on line(s) {error_lines}")
exit("INFO | Errors found, exiting program.")
else:
print("INFO | No errors found!")
print(f"INFO | {len(power_values[f'setup_{setup[0]}'])} lines processed.")
# Print the total power yield per setup
print("INFO | Total power yield:")
total = {'setup_1': 0, 'setup_2': 0, 'setup_3': 0, 'setup_4': 0}
for i in setup:
for setup_power in power_values[f"setup_{i}"]:
total[f"setup_{i}"] += (setup_power * 2*60) / 3600
for i in total:
if int(i[-1]) in setup:
print(f" {i} | {round(total[i], 2)} Wh")
# Plot the graph if 'plot' is true
if plot:
lines = []
if plot_type == "all":
fig, ax = plt.subplots(4)
plot_count = 0
for x in ["power_values", "voltage_values", "current_values", "yield_values"]:
if x == "power_values":
values = power_values
elif x == "voltage_values":
values = voltage_values
elif x == "current_values":
values = current_values
elif x == "yield_values":
values = yield_values
for i in setup:
ax[plot_count].plot(time_values, values[f"setup_{i}"], label=f"Setup {i}")
ax[plot_count].set_title(x)
##-- Create legend --##
leg = ax[plot_count].legend(fancybox=True, shadow=True)
leg.set_draggable(True)
##-- End of create legend --##
plot_count += 1
fig.tight_layout(pad=0.1)
plt.show()
else:
fig, ax = plt.subplots()
if 1 in setup:
(setup_1,) = ax.plot(time_values, power_values["setup_1"], label=f"Opstelling 1")
lines.append(setup_1)
if 2 in setup:
(setup_2,) = ax.plot(time_values, power_values["setup_2"], label=f"Opstelling 2")
lines.append(setup_2)
if 3 in setup:
(setup_3,) = ax.plot(time_values, power_values["setup_3"], label=f"Opstelling 3")
lines.append(setup_3)
if 4 in setup:
(setup_4,) = ax.plot(time_values, power_values["setup_4"], label=f"Opstelling 4")
lines.append(setup_4)
if difference_toggle:
(difference,) = ax.plot(time_values, difference_values, label=f"Verschil")
lines.append(difference)
##--Plot formatting--##
plt.title(plot_title)
plt.xlabel("Tijd")
plt.ylabel(label_dict[plot_type]["label"])
# Rotate the tickers and make sure the placement is correct.
plt.setp(ax.xaxis.get_majorticklabels(), rotation=30, ha="right")
# Make sure the tickers are equally spaced
ax.xaxis.set_major_locator(ticker.LinearLocator())
# Format the xaxis tickers to a nice day and time format
xfmt = mdates.DateFormatter('%d-%m-%y %H:%M')
# Apply the formatter from previous line
ax.xaxis.set_major_formatter(xfmt)
# Remove the whitespaces on the xaxis
plt.margins(x=0.01)
# Add a legend
plt.legend(loc="upper left")
##--End of plot formatting--##
##-- Create legend --##
leg = ax.legend(fancybox=True, shadow=True)
map_legend_to_ax = {} # Will map legend lines to original lines.
pickradius = 5 # Points (Pt). How close the click needs to be to trigger an event.
for legend_line, ax_line in zip(leg.get_lines(), lines):
legend_line.set_picker(pickradius) # Enable picking on the legend line.
map_legend_to_ax[legend_line] = ax_line
def on_pick(event):
# On the pick event, find the original line corresponding to the legend
# proxy line, and toggle its visibility.
legend_line = event.artist
# Do nothing if the source of the event is not a legend line.
if legend_line not in map_legend_to_ax:
return
ax_line = map_legend_to_ax[legend_line]
visible = not ax_line.get_visible()
ax_line.set_visible(visible)
# Change the alpha on the line in the legend, so we can see what lines
# have been toggled.
legend_line.set_alpha(1.0 if visible else 0.2)
fig.canvas.draw()
fig.canvas.mpl_connect('pick_event', on_pick)
# Works even if the legend is draggable. This is independent from picking legend lines.
leg.set_draggable(True)
##-- End of create legend --##
##-- Annotate max values --##
def annot_max(x, y, ax=None):
xmax = x[np.argmax(y)]
ymax = max(y)
text = f"{round(ymax, 2)} {label_dict[plot_type]['unit']}"
if not ax:
ax = plt.gca()
arrowprops = dict(arrowstyle="->", alpha=0.5)
kw = dict(xycoords='data', textcoords="offset points",
arrowprops=arrowprops, ha="left", va="bottom", alpha=0.5)
ax.annotate(text, xy=(xmax, ymax), xytext=(0, 10), **kw)
if annotate_max:
for i in setup:
annot_max(time_values, power_values[f"setup_{i}"])
if difference_toggle:
annot_max(time_values, difference_values)
plt.show()
###--- Read the file ---###
# the file_path variable should be the path to the data file
file_path = r"./pws_data_15_dec_lc.txt"
# calls the read_file function
# plot_type can be the following:
# w - plot the power values
# v - plot the voltage values
# a - plot the current values
# y - plot the yield values
# all - plot all of the above
# All variables are optional, and have a default value
read_file(file_path,
plot=True,
annotate_max=False,
difference_toggle=True,
setup=[1, 2, 3, 4],
plot_type="all",
plot_title="Plot title",
start_date=datetime.datetime(2023, 12, 3, 8, 0, 0),
end_date=datetime.datetime(2023, 12, 3, 17, 0, 0)
)