Data Analysis With Python Sea Level Predictor

Python
1

When I run my code in replit, I get the following error:

AssertionError: 
Arrays are not almost equal to 7 decimals
Expected different line for first line of best fit.
(shapes (170,), (171,) mismatch)
 x: array([-0.542124 , -0.4790794, -0.4160349, -0.3529903, -0.2899457,
       -0.2269011, -0.1638565, -0.1008119, -0.0377674,  0.0252772,
        0.0883218,  0.1513664,  0.214411 ,  0.2774556,  0.3405002,...
 y: array([-0.542124 , -0.4790794, -0.4160349, -0.3529903, -0.2899457,
       -0.2269011, -0.1638565, -0.1008119, -0.0377674,  0.0252772,
        0.0883218,  0.1513664,  0.214411 ,  0.2774556,  0.3405002,...

I understand that issues similar to this have been opened before. I have reviewed them so that I could troubleshoot the issue myself.

I ran my code in a jupyter notebook cell and saw that the graph matches the figure provided in the repl.

predictor_graph
predictor_graph760×745 54.8 KB

2

I think I misspoke in my first post; there was no initial picture in the repl to show what the graph should look like.

However my graph looks reasonable to me.

3

Here is the code

import pandas as pd
import matplotlib.pyplot as plt
from scipy.stats import linregress

def draw_plot():
    # Read data from file
    df = pd.read_csv('epa-sea-level.csv')

    # Create scatter plot
    plt.scatter(df['Year'], df['CSIRO Adjusted Sea Level'])

    # Create first line of best fit
    res = linregress(df['Year'], df['CSIRO Adjusted Sea Level'])
    x = range(1880, 2050)
    y = res.intercept + res.slope * x
    plt.plot(x, y, 'r')
  
    
    # Create second line of best fit
    x_2 = df[df['Year'] >= 2000]['Year']
    res_2 = linregress(x_2, df[df['Year'] >= 2000]['CSIRO Adjusted Sea Level'])
    y_2 = res_2.intercept + res_2.slope * x_2
    plt.plot(x_2, y_2, 'y')


    # Add labels and title
    plt.xlabel('Year')
    plt.ylabel('Sea Level (inches)')
    plt.title('Rise in Sea Level')
    
    # Save plot and return data for testing (DO NOT MODIFY)
    plt.savefig('sea_level_plot.png')
    return plt.gca()
4

The line of best fit needs to go to 2050 (both of them)

Keep in mind range() is not inclusive of the last number. range(0,5) returns 0,1,2,3,4 and never makes it to the number 5. It returns 5 numbers: 0 - 4.

5

This was helpful. Issue resolved. Thanks.

1 Like
6

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