human
Solve the following python programming problem given the following code:
# Import pandas and read in csv file as a dataframe
import pandas as pd
# Change this path to your data directory
df = pd.read_csv('../test_dataset/robot_log.csv')
img_list_sorted = df["Path"].tolist() # Create list of image pathnames
# Read in ground truth map and create a 3-channel image with it
ground_truth = mpimg.imread('../calibration_images/map_bw.png')
ground_truth_3d = np.dstack((ground_truth*0, ground_truth, ground_truth*0)).astype(np.float)

# Creating a class to be the data container
# Will read in saved data from csv file and populate this object
# Worldmap is instantiated as 200 x 200 grids corresponding 
# to a 200m x 200m space (same size as the ground truth map: 200 x 200 pixels)
# This encompasses the full range of output position values in x and y from the sim
class Databucket():
    def __init__(self):
        self.images = img_list_sorted  
        self.xpos = df["X_Position"].values
        self.ypos = df["Y_Position"].values
        self.yaw = df["Yaw"].values
        self.count = 0
        self.worldmap = np.zeros((200, 200, 3)).astype(np.float)
        self.ground_truth = ground_truth_3d # Ground truth worldmap

# Instantiate a Databucket().. this will be a global variable/object
# that you can refer to in the process_image() function below
data = Databucket()

Given the above code, generate some markdown instructions for it.
assistant
#Here is the Python program you requested.

Read in saved data and ground truth map of the world
The next cell is all setup to read your saved data into a pandas dataframe.  Here you'll also read in a "ground truth" map of the world, where white pixels (pixel value = 1) represent navigable terrain.  
After that, we'll define a class to store telemetry data and pathnames to images.  When you instantiate this class (data = Databucket()) you'll have a global variable called data that you can refer to for telemetry and map data within the process_image() function in the following cell.