Data Analysis with Python Projects - Page View Time Series Visualizer: barplot error and legend coloring

[hkukka420]

Tell us what’s happening:
Describe your issue in detail here.
Hi!
I have a two-part question

1. how to change the legend colouring? what I mean is I want my legend to look like how figure2.png is and not like this:
   

   

2. is there a better way to plot the barplot using sns.barplot() and pass the test than what I did in the code below?
   (PS: I wrote the code that way because I was failing the test where it checks for the number of bars in the plot and I was getting 57 instead of 49. but the code I wrote does get the job done but the plot is a bit ugly)

Your code so far

def draw_bar_plot():
  # Copy and modify data for monthly bar plot
  df_bar = df.copy()
  # * filling in the missing values to complete one full year
  fill_range = pd.date_range("2016-01-01", "2019-12-31")
  df_bar = df_bar.reindex(fill_range, fill_value=np.nan)
  df_bar["year"] = df_bar.index.year
  df_bar["month"] = df_bar.index.month_name()
  df_bar = df_bar.groupby(["year", "month"]).mean()
  # * Fill the NaN values with 0 so that they appear on the plot
  # ! Note: Do not do this before finding the mean
  # ! as it will add to the total number when finding the mean and mess your calculations

  df_bar = df_bar.reset_index().fillna(0.0)

  # Draw bar plot
  fig, ax = plt.subplots(figsize=(12, 9))
  order = [
      "January",
      "February",
      "March",
      "April",
      "May",
      "June",
      "July",
      "August",
      "September",
      "October",
      "November",
      "December",
  ]
  # * The only reason for the legend to be false is to pass one testcase
  plot_bar = sns.barplot(
      data=df_bar,
      x="year",
      y="value",
      hue="month",
      ax=ax,
      hue_order=order,
      width=0.5,
      legend=False,
      palette=sns.color_palette("bright", 12),
  )
  plot_bar.legend(labels=order, title="Months")
  plot_bar.set_xlabel("Years")
  plot_bar.set_ylabel("Average Page Views")
  # Save image and return fig (don't change this part)
  fig.savefig("bar_plot.png")
  return fig

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