Seaborn 條形圖不並排顯示列

Question

在下圖中，同一年的閾值條不是並排的：

我想在下面有一個這樣的情節：

my_df = pd.DataFrame(data={'Year': \['2017','2018','2019','2019','2019','2019','2020','2020'\],
          'Threshold':\[96, 91, 20.59, 47.37, 78.12, 10.00, 15.00 ,91\],
          'Fee' : \["No","No", "20%", "20%", "5%", "20%", "20%", "No"\]})

    palette={"No": "g","20%": "y", "5%": "r"}

    fig,ax = plt.subplots()
    fig.set_size_inches(10,8)

    g = sns.barplot(x=my_df.index, y="Threshold",hue = 'Fee', palette = palette, data=my_df, ci=None)
    g.set(xticklabels=my_df\['Year'\])

    for p in ax.patches: 
        ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2, p.get_height()),
                    ha='center', va='center', fontsize=11, color='black', xytext=(0, 10), 
                    textcoords='offset points',fontweight='bold')][3]][3]

Answer 1

當您偏離 seaborn 設計的那種情節時，您最好直接依賴 matplotlib 而不是試圖讓 seaborn 屈從於您的意願

my_df = pd.DataFrame(data={'Year': ['2017','2018','2019','2019','2019','2019','2020','2020'],
          'Threshold':[96, 91, 20.59, 47.37, 78.12, 10.00, 15.00 ,91],
          'Fee' : ["No","No", "20%", "20%", "5%", "20%", "20%", "No"]})
palette={"No": "g","20%": "y", "5%": "r"}

temp_df = my_df.sort_values(by=['Year','Fee'])

years = temp_df['Year'].unique()
max_bars = temp_df.groupby('Year').size().max()
width = .8/max_bars

fig, ax = plt.subplots()
for i,(year,yearly_df) in enumerate(temp_df.groupby('Year')):
    N_bars = len(yearly_df)
    offsets = np.linspace(0, (N_bars-1)*width, N_bars)
    offsets -= offsets.mean()
    a = ax.bar(i+offsets, yearly_df['Threshold'], width=width, color=yearly_df['Fee'].replace(palette))
ax.set_xticks(np.arange(len(years)))
ax.set_xticklabels(years)

for p in ax.patches: 
    ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2, p.get_height()),
                    ha='center', va='center', fontsize=11, color='black', xytext=(0, 10), 
                    textcoords='offset points',fontweight='bold')