Page views Time Series Visualizer

[adembamidele]

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.

[adembamidele]

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
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.xlabel('Date')
    plt.ylabel('Page Views')


    # Save image and return fig (don't change this part)
    fig.savefig('line_plot.png')
    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()
    fig.set_size_inches(2,2)
    ax.set_xlabel('Years')
    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)
    fig.savefig('bar_plot.png')
    return fig

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

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

    fig,axis = plt.subplots(1,2)
    fig.set_size_inches(4,2)
    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)
    fig.savefig('box_plot.png')
    return fig

[jwilkins.oboe]

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 (’).

[sanity]

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.

[adembamidele]

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/test_module.py”, 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:
‘50000’
‘20000’

Second list contains 6 additional elements.
First extra element 5:
‘100000’

• [‘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:

[adembamidele]

Thank you for the editing @jwilkins.oboe

[sanity]

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