How to use 'sns boxplot' in Python
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53 def boxplot(data1, data2, data3): 54 df1 = pd.DataFrame({'RxJava': data1}) 55 df2 = pd.DataFrame({'java-design-patterns': data2}) 56 df3 = pd.DataFrame({'Elasticsearch': data3}) 57 df = pd.concat([df1,df2,df3], ignore_index=True, axis=1) 58 df.columns = ['RxJava', 'java-design-patterns', 'Elasticsearch'] 59 # print(df) 60 sns.set_style("whitegrid") 61 ax = sns.boxplot(data=df) 62 ax.yaxis.label.set_size(18) 63 ax.xaxis.label.set_size(18) 64 ax.yaxis.set_tick_params(labelsize=16) 65 ax.xaxis.set_tick_params(labelsize=16) 66 plt.ylabel("index update time (s)") 67 # plt.show() 68 69 fig = ax.get_figure() 70 fig.set_size_inches(10, 5) 71 fig.savefig('../update_time.pdf', bbox_inches='tight')