Plotting

This example shows how one can pull a log file from the drone and use pandas and matplotlib to plot it.

We'll start by downloading a log file from the drone

from blueye.sdk import Drone

myDrone = Drone()

myDrone.logs[0].download(outputName="log0.csv")

We can now read the csv-file into a pandas object for easy manipulation

import pandas

divelog = pandas.read_csv("log0.csv")

and then we'll convert the unix timestamp in rt_clock into a more readable format:

divelog["rt_clock"] = pandas.to_datetime(divelog["rt_clock"], unit="s")

Next we will plot depth vs time with matplotlib:

import matplotlib.pyplot as plt

# Instantiate our figure and axes to plot on
figure, axes = plt.subplots()

x = divelog["rt_clock"]
y = divelog["depth"] / 1000  # Dividing by 1000 to get depth in meters

# Plot the depth values against time
axes.plot(x, y, label="depth")

# Set title, labels, and legend
plt.title("Depth chart")
plt.xlabel("Time")
plt.ylabel("Depth [m]")
plt.legend()

# Save the figure
figure.savefig("depth_plot.svg")

This should yield us a plot that looks something like this: plot

See the matplotlib documentation for more ways to plot your data.