# 製圖3.0

當你不幸被4r非常不合理的要求每條東西都要有自己顏色的時候😢，可以參考下面

fig, ax = plt.subplots(1,1, figsize=(12, 6))
colors = ['#666666', '#1f77b4', '#1f77b4', '#ff7f0e', '#ff7f0e', '#2ca02c', '#2ca02c', '#d62728', '#d62728', '#9467bd', '#9467bd']
color_box = ['#666666', '#666666', '#1f77b4', '#1f77b4', '#1f77b4', '#ff7f0e', '#ff7f0e', '#2ca02c', '#2ca02c', '#d62728', '#d62728', '#9467bd', '#9467bd']
color_dot = ['#666666', '#666666', '#1f77b4', '#1f77b4', '#ff7f0e', '#ff7f0e', '#2ca02c', '#2ca02c', '#d62728', '#d62728', '#9467bd', '#9467bd']
alphas = [0.9, 0.9, 0.6, 0.9, 0.6, 0.9, 0.6, 0.9, 0.6, 0.9, 0.6, 0.9]
alpha_box = [0.6, 0.9, 0.6, 0.9, 0.6, 0.9, 0.6, 0.9, 0.6, 0.9, 0.6, 0.9, 0.6]
alpha_dot = [0.7, 0.3, 0.7, 0.3, 0.7, 0.3, 0.7, 0.3, 0.7, 0.3, 0.7, 0.3]

sns.boxplot(x="poolsize", y="r2", hue='pooling_type', data=df_bar, color=None, width=0.8, showfliers = False, linewidth=3, ax=ax)
sns.stripplot(x="poolsize", y="r2", hue='pooling_type', data=df_bar, dodge=True, ax=ax)

sns.despine(top = True, right = True)
ax.set_xlabel("Pool size", fontsize = 25)
ax.set_ylabel("$R^2$", fontsize = 25)
xticks = ['Split mode', '2', '3', '4', '5', '6']
ax.set_xticklabels(xticks)
ax.tick_params(which='both', width=2, labelsize=25)
ax.set_ylim([0.4, 1])


lines_per_boxplot = len(ax.lines) // 11
for i in range(11):
    color = colors[i]
    alpha = alphas[i]
    box.set_color(color)
    for lin in ax.lines[i * lines_per_boxplot: (i + 1) * lines_per_boxplot]:
        lin.set_color(color)
        lin.set_alpha(alpha)
        
for i, p in enumerate(ax.patches):
    p.set_facecolor('None')
    p.set_edgecolor(color_box[i])
    p.set_alpha(alpha_box[i])

    
for collection, color, a in zip(ax.collections, color_dot, alpha_dot):
    collection.set_facecolor(color)
    collection.set_alpha(a)

ax.get_legend().remove()
plt.rcParams["font.family"] = "Arial"
plt.tick_params(left=True, bottom=True, width=2)
plt.tight_layout()
plt.show()


df_out = df[df['poolsize']!=1]
colors = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd']

fig, ax = plt.subplots(figsize = (15,3))

fig, ax = plt.subplots(5, 1, figsize = (15,15))
for poolsize in range(2, 7):
    aa = df_out[df_out['poolsize']==poolsize]
    rp = aa[aa['pooling_type']=='RP']
    ep = aa[aa['pooling_type']=='EP']
    sns.histplot(x=rp['r2'], binwidth=0.02, color=colors[poolsize-2], ax=ax[poolsize-2], kde=True, kde_kws={'cut': 3}, alpha=0.2)
    sns.histplot(x=ep['r2'], binwidth=0.02, color=colors[poolsize-2], ax=ax[poolsize-2], kde=True, kde_kws={'cut': 3})
    sns.despine(top = True, right = True)
    
    ax[poolsize-2].set_xlim([0, 1])
    ax[poolsize-2].set_xlabel('$R^2$', fontsize=25)
    ax[poolsize-2].set_ylim([0, 8])
    ax[poolsize-2].set_ylabel('count', fontsize=25)
    ax[poolsize-2].set_title('Pool size='+str(poolsize), fontsize=25)
    ax[poolsize-2].tick_params(left=True, bottom=True, width=2, labelsize=25)

plt.tight_layout()
plt.show()