code: #!/usr/bin/env python
  # coding: utf-8
  
  # ## Problem 1: Simple scatter plot using random 
  # 
  # We can generate random numbers using using a method `random.rand()` from the [NumPy package](https://numpy.org/). This example generates 10 random values:
  # 
  # ```
  # import numpy as np
  # random_numbers = np.random.rand(10)
  # 
  # ```
  # 
  # ### Part 1
  # 
  # Create an new data frame called `data` and add 1000 random numbers (`float`) into a new column `x` and another 1000 random numbers (`float`) into a new column `y`.
  
  import numpy as np
  import pandas as pd
  
  # YOUR CODE HERE 1 to set data
  x = np.random.rand(1000)
  y = np.random.rand(1000)
  data = pd.DataFrame()
  data["x"] = x
  data["y"] = y
  # Check your random values
  print(data.head())
  
  # Check that you have the correct number of rows
  assert len(data) == 1000, "There should be 1000 rows of data."
  
  
  # ### Part 2
  # 
  
  # YOUR CODE HERE 2 to set colors
  colors = np.random.rand(1000)
  # This test print should print out 10 first numbers in the variable colors
  print(colors[0:10])
  
  # Check that the length matches
  assert len(colors) == 1000, "There should be 1000 random numbers for colors"
  
  
  # ### Part 3 
  # 
  # #### Part 3.1
  # 
  # Create a scatter plot of points with random colors
  # 
  # #### Part 3.2
  # 
  # #### Part 3.3
  # 
  
  # Plot a scatter plot
  # YOUR CODE HERE 3
  import matplotlib.pyplot as plt
  plt.scatter(x, y, s = 50, c = colors, cmap = 'rainbow', edgecolor = 'black')
  # Add labels and title
  # YOUR CODE HERE 4
  plt.title("My random candy points")
  plt.xlabel("X-label")
  plt.ylabel("Y-label")
  plt.show()
  # Save the plot as a png file:
  outputfp = "my_first_plot.png"
  
  # YOUR CODE HERE 5
  
  # This test print statement should print the output filename of your figure
  print("Saved my first plot as:", outputfp)
  
  #Check that the file exists (also go and open the file to check that everything is ok!)
  import os
  
  assert os.path.exists(outputfp), "Can't find the output image."
  
  
  # Remember to commit your changes (including the image file) to your GitHub repo!
  # 
  # ### Done!
  # 
  # Now you can move to [problem 2](Exercise-7-problem-2.ipynb).
  
apis: pandas.DataFrame matplotlib.pyplot.title matplotlib.pyplot.show matplotlib.pyplot.ylabel numpy.random.rand matplotlib.pyplot.xlabel matplotlib.pyplot.scatter