Tell us what’s happening:
I’m almost done with the project, but I’m getting this error:
Expected box plot 2 secondary labels to be ‘Jan’, ‘Feb’, ‘Mar’, ‘Apr’, ‘May’, ‘Jun’, ‘Jul’, ‘Aug’, ‘Sep’, ‘Oct’, ‘Nov’, ‘Dec’
I see that the months aren’t sorted on my box plot, but I don’t know how to do it.
Could someone help me?
Your code so far
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
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",index_col=0,parse_dates=True)
# Clean data
df = df[
(df["value"] > df["value"].quantile(0.025)) &
(df["value"] < df["value"].quantile(0.975))
]
def draw_line_plot():
# Draw line plot
fig, axes = plt.subplots(figsize=(12, 6))
axes.plot(df)
axes.set_xlabel('Date')
axes.set_ylabel('Page Views')
axes.set_title("Daily freeCodeCamp Forum Page Views 5/2016-12/2019")
# 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
df_bar = df.groupby([(df.index.year),(df.index.month)]).mean()
# Draw bar plot
fig = df_bar.unstack().plot(kind='bar',figsize=(12, 10),width=0.6).figure
plt.legend(labels=("January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"))
plt.xlabel("Years")
plt.ylabel("Average Page Views")
plt.title("Average Page Views per Year")
# 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)
fig, (ax1, ax2) = plt.subplots(1,2)
fig.set_figwidth(20)
fig.set_figheight(10)
ax1 = sns.boxplot(x = df_box["year"], y = df_box["value"], ax= ax1)
ax1.set_xlabel("Year")
ax1.set_ylabel("Page Views")
ax1.set_title("Year-wise Box Plot (Trend)")
ax2 = sns.boxplot(x = df_box["month"], y = df_box["value"], ax= ax2)
ax2.set_xlabel("Month")
ax2.set_ylabel("Page Views")
ax2.set_title("Month-wise Box Plot (Seasonality)")
# Save image and return fig (don't change this part)
fig.savefig('box_plot.png')
return fig
Your browser information:
User Agent is: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.183 Safari/537.36 OPR/72.0.3815.320.
Challenge: Page View Time Series Visualizer
Link to the challenge: