How to use 'sns.boxplot' in Python

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53def 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')

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