我对策划很陌生。我需要为方框图添加特定的X轴标签。我需要放入的X轴名称显示在一个数组x_label
。如有任何建议,我们将不胜感激。在
import plotly
plotly.tools.set_credentials_file(username='demo', api_key='u759djdol')
import matplotlib.pyplot as plt
import numpy as np
import plotly.plotly as py
import plotly.tools as tls
#x = np.array([1,2,3,4,5,6,7,8,9])
atn_time_1_1 = np.array([22,31,71,74,17,22,23,51,39])
atn_time_1_2 = np.array([27,30,20,40,29,22,36,35,38,32])
atn_time_1_3 = np.array([34,15,14,86,22,17,27,33,26,22,102,14])
atn_time_1_4 = np.array([26,31,85,23,24,42,74,33,43,45,12,26,38])
atn_time_1_9 = np.array([65,37,22,47,23,56,59,65,64,50,42,19,40,22,39])
atn_time_1_16 = np.array([15,36,18,58,27,89,36,24,15,29,21,21,60,36,126,54])
atn_time_4_12 = np.array([18,14,56,110,32,73,17,23,32,25,44,24])
atn_time_4_16 =np.array([32,17,36,80,32,28,70,34,36,42,29,58,26,18,20])
atn_time_4_36 = np.array([12,23,86,30,45,63,30,43,64,39,46,49,19,34])
x_label = ['1 vs 1','1 vs 2','1 vs 3','1 vs 4''1 vs 9','1 vs 16'
,'4 vs 12','4 vs 16','4 vs 36']
data = [atn_time_1_1,atn_time_1_2,atn_time_1_3,atn_time_1_4,
atn_time_1_9,atn_time_1_16,atn_time_4_12,atn_time_4_16,
atn_time_4_36]
mpl_fig = plt.figure()
ax = mpl_fig.add_subplot(111)
ax.boxplot(data)
ax.set_xlabel('run_tasks')
ax.set_ylabel('Colony emigration time (min)')
plotly_fig = tls.mpl_to_plotly( mpl_fig )
plot_url = py.plot(plotly_fig, 'simple_boxplot')
Plotly
与matplotlib
稍有不同,要添加轴标签,您需要创建一个跟踪对象并编辑name
关键字。在这段代码将给出输出
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