我编写了一个脚本来自动绘制线图，当我运行该脚本时，它在我的计算机上运行良好。但是当其他人尝试运行同一脚本时，图例使用不同的颜色。
Correct Image
Incorrect Image (Wrong Legend)
下面是脚本：

plt.figure(figsize=(15, 9)) 
plt.style.use('fivethirtyeight') 
chart = sns.lineplot(x = pd.to_datetime(buyer_comp_trend['week']).dt.strftime('%m/%d'), y = buyer_comp_trend['Composite Score'], color = '#0000ff', linewidth=7.) 
chart = sns.lineplot(x = pd.to_datetime(buyer_comp_trend_ce['week']).dt.strftime('%m/%d'), y = buyer_comp_trend_ce['Composite Score'], color = '#99ccff', linewidth=3.) 
chart = sns.lineplot(x = pd.to_datetime(buyer_comp_trend_ea['week']).dt.strftime('%m/%d'), y = buyer_comp_trend_ea['Composite Score'], color = '#990099', linewidth=3.) 
chart = sns.lineplot(x = pd.to_datetime(buyer_comp_trend_ma['week']).dt.strftime('%m/%d'), y = buyer_comp_trend_ma['Composite Score'], color = '#1f1f1f', linewidth=3.) 
chart = sns.lineplot(x = pd.to_datetime(buyer_comp_trend_ms['week']).dt.strftime('%m/%d'), y = buyer_comp_trend_ms['Composite Score'], color = '#00b050', linewidth=3.) 
chart = sns.lineplot(x = pd.to_datetime(buyer_comp_trend_sc['week']).dt.strftime('%m/%d'), y = buyer_comp_trend_sc['Composite Score'], color = '#ff66cc', linewidth=3.) 
chart = sns.lineplot(x = pd.to_datetime(buyer_comp_trend_so['week']).dt.strftime('%m/%d'), y = buyer_comp_trend_so['Composite Score'], color = '#996633', linewidth=3.) 
chart = sns.lineplot(x = pd.to_datetime(buyer_comp_trend_we['week']).dt.strftime('%m/%d'), y = buyer_comp_trend_we['Composite Score'], color = '#ff8205', linewidth=3.) 
plt.plot(pd.to_datetime(buyer_comp_trend['week']).dt.strftime('%m/%d'), buyer_comp_trend['Target'], c = '#808080', ls = '--') 
chart.set(title = 'HRX Composite Score (Region scores by week)', ylabel='', xlabel="", facecolor = '#ffffff') 
x = range(0, len(pd.to_datetime(buyer_comp_trend['week']).dt.strftime('%m/%d'))) 
plt.ylim(920, 980) 
plt.legend(labels = ['National', 'CE', 'EA', 'MA', 'MS', 'SC', 'SO', 'WE', 'Target (939)'], ncol=9)

我们尝试过将python更新到相同的版本，将matplotlib更新到相同的版本，但是相同的脚本在不同的计算机上仍然会产生不同的图像。