Black points in Scatter Plot graph can be caused by various factors, such as outliers, missing values, or errors in the data. In Python, you can use the following code to find black points in a graph:
import matplotlib.pyplot as plt import numpy as np # Create a data set with some black points data = np.random.randint(0, 100, (100, 2)) data[50, 0] = -1 data[50, 1] = -1 # Plot the data plt.scatter(data[:, 0], data[:, 1]) # Find the black points black_points =  for i in range(len(data)): if data[i, 0] == -1 and data[i, 1] == -1: black_points.append(i) # Print the black points print(black_points)
This code will create a data set with 100 points and then plot the data as a scatter plot. The code will then find the black points in the data set and print them out.
To run this code, you will need to have the matplotlib and numpy libraries installed. You can install these libraries by running the following commands in your terminal:
pip install matplotlib pip install numpy
Once you have installed the libraries, you can run the code by saving it as a Python file and then running the file from the command line.
Here are some additional tips for finding black points in a graph in Python: