Page views Time Series Visualizer

I ran my codes successfully on Jupyter Notebook with all the three plots correctly plotted except for the Box Plots where the y labels have value intervals different from the example plot in the file, hence the test failed.

The error below keeps popping up and I am left confused:

Matplotlib created a temporary config/cache directory at /tmp/matplotlib-q3lfbgir 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.

Find below my codes:

import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import numpy as np
from pandas.plotting import register_matplotlib_converters

# Import data (Make sure to parse dates. Consider setting index column to 'date'.)
df = pd.read_csv('fcc-forum-pageviews.csv')
df = df.set_index('date')
# Clean data
df = df[
    (df['value'] >= (df['value'].quantile(0.025))) & 
    (df['value'] <= (df['value'].quantile(0.975)))   
df.index = pd.to_datetime(df.index)

def draw_line_plot():
# Draw line plot
    fig = plt.figure(figsize=(6, 3))
    plt.plot(df.index, df['value'])
    plt.title('Daily freeCodeCamp Forum Page Views 5/2016-12/2019')
    plt.ylabel('Page Views')

    # Save image and return fig (don't change this part)
    return fig

def draw_bar_plot():
    # Copy and modify data for monthly bar plot

    # Draw bar plot

    df_bar = df.copy()
    df_bar['year'] = df_bar.index.year
    df_bar['month'] = df_bar.index.month
    cbar = df_bar.groupby([df.index.year, df.index.month],)['value'].agg(np.mean).rename_axis(['year', 'month'])
    cbar = cbar.reset_index()

    df_pivtab = pd.pivot_table(cbar,
    values = 'value',
    index = 'year',
    columns = 'month')
    ax = df_pivtab.plot(kind='bar')
    fig = ax.get_figure()
    ax.set_ylabel('Average Page Views')
    plt.legend(['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'], title = 'Months')

    # Save image and return fig (don't change this part)
    return fig

def draw_box_plot():
    # Prepare data for box plots (this part is done!)
    df_box = df.copy()
    df_box['year'] = [d.year for d in]
    df_box['month'] = [d.strftime('%b') for d in]

    # Draw box plots (using Seaborn)
    df_box = df.copy()
    df_box['year'] = [d.year for d in]
    df_box['month'] = [d.strftime('%b') for d in]

    fig,axis = plt.subplots(1,2)
    sns.boxplot(x = df_box['year'], y = df_box['value'], ax = axis[0]).set(xlabel='Year', ylabel='Page Views')
    sns.boxplot(x = df_box['month'], y = df_box['value'], 
        order=['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct','Nov', 'Dec'], 
        ax = axis[1]).set(xlabel='Month', ylabel='Page Views')
    axis[0].set_title('Year-wise Box Plot (Trend)')
    axis[1].set_title('Month-wise Box Plot (Seasonality)')

    # Save image and return fig (don't change this part)
    return fig

I’ve edited your post for readability. When you enter a code block into a forum post, please precede it with a separate line of three backticks and follow it with a separate line of three backticks to make it easier to read.

You can also use the “preformatted text” tool in the editor (</>) to add backticks around text.

See this post to find the backtick on your keyboard.
Note: Backticks (`) are not single quotes (’).

That’s not an error, and it’s unrelated to the failing test.

Test failing is caused by setting plot size too small, what limits numbers of labels displayed.

I have used different fig sizes , the error persists. I had to reduce the plot sizes with the hope that the codes would run successfully.

On the failed test, below is what I got:

FAIL: test_box_plot_labels (test_module.BoxPlotTestCase)

Traceback (most recent call last):
File “/home/runner/boilerplate-page-view-time-series-visualizer/”, line 104, in test_box_plot_labels
self.assertEqual(actual, expected, “Expected box plot 1 secondary labels to be ‘0’, ‘20000’, ‘40000’, ‘60000’, ‘80000’, ‘100000’, ‘120000’, ‘140000’, ‘160000’, ‘180000’, ‘200000’”)
AssertionError: Lists differ: [‘0’, ‘50000’, ‘100000’, ‘150000’, ‘200000’] != [‘0’, ‘20000’, ‘40000’, ‘60000’, ‘80000’, ‘10000[48 chars]000’]

First differing element 1:

Second list contains 6 additional elements.
First extra element 5:

  • [‘0’, ‘50000’, ‘100000’, ‘150000’, ‘200000’]
  • [‘0’,
  • ‘20000’,
  • ‘40000’,
  • ‘60000’,
  • ‘80000’,
  • ‘100000’,
  • ‘120000’,
  • ‘140000’,
  • ‘160000’,
  • ‘180000’,
  • ‘200000’] : Expected box plot 1 secondary labels to be ‘0’, ‘20000’, ‘40000’, ‘60000’, ‘80000’, ‘100000’, ‘120000’, ‘140000’, ‘160000’, ‘180000’, ‘200000’

Ran 11 tests in 5.808s

FAILED (failures=1)

My box plot on Jupyter notebook below:

Thank you for the editing @jwilkins.oboe

I’ve removed it completely and on test passed without error.

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