I don’t know what do with the error
This is my 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
slope, intercept, r_value, p_value, std_err = linregress(x=df["Year"], y=df["CSIRO Adjusted Sea Level"])
year_extended = list(range(1880, 2050, 1))
line = [intercept + slope * j for j in year_extended]
plt.plot(year_extended, line, linewidth=2, color="r")
# Create second line of best fit
mod_df = df.loc[df["Year"] >= 2000]
slope2, intercept2, r_value2, p_value2, std_err2 = linregress(x=mod_df["Year"], y=mod_df["CSIRO Adjusted Sea Level"])
year2 = list(range(2000, 2050, 1))
line2 = [intercept2 + slope2 * j for j in year2]
plt.plot(year2, line2, linewidth=3, color="k")
# 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()
This is the error
FAIL: test_plot_data_points (test_module.LinePlotTestCase)
Traceback (most recent call last):
File “/home/runner/boilerplate-sea-level-predictor/test_module.py”, line 30, in test_plot_data_points
python main.py
Matplotlib created a temporary config/cache directory at /tmp/matplotlib-umaphdjp because the default path (/config/matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing.
F.F.
FAIL: test_plot_data_points (test_module.LinePlotTestCase)
Traceback (most recent call last):
File “/home/runner/boilerplate-sea-level-predictor/test_module.py”, line 30, in test_plot_data_points
self.assertEqual(actual, expected, “Expected different data points in scatter plot.”)
AssertionError: Lists differ: [[188[26 chars]72441], [1882.0, -0.44
python main.py
Matplotlib created a temporary config/cache directory at /tmp/matplotlib-suvt1xh9 because the default path (/config/matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing.
F.F.
FAIL: test_plot_data_points (test_module.LinePlotTestCase)
Traceback (most recent call last):
File “/home/runner/boilerplate-sea-level-predictor/test_module.py”, line 30, in test_plot_data_points
self.assertEqual(actual, expected, “Expected different data points in scatter plot.”)
AssertionError: Lists differ: [[188[26 chars]72441], [1882.0, -0.440944881], [1883.0, -0.23[2982 chars]951]] != [[188[26 chars]7244100000002], [1882.0, -0.440944881], [1883.[3226 chars]951]]
First differing element 1:
[1881.0, 0.220472441]
[1881.0, 0.22047244100000002]
Diff is 6114 characters long. Set self.maxDiff to None to see it. : Expected different data points in scatter plot.
======================================================================
FAIL: test_plot_lines (test_module.LinePlotTestCase)
Traceback (most recent call last):
File “/home/runner/boilerplate-sea-level-predictor/test_module.py”, line 37, in test_plot_lines
self.assertEqual(actual, expected, “Expected different line for second line of best fit.”)
AssertionError: Lists differ: [7.06[42 chars]04435186, 7.560361677767105, 7.726788951098968[873 chars]3011] != [7.06[42 chars]04435242, 7.560361677767105, 7.726788951098968[873 chars]3011]
First differing element 2:
7.393934404435186
7.393934404435242
Diff is 1253 characters long. Set self.maxDiff to None to see it. : Expected different line for second line of best fit.