【问题标题】:Python-Is there any package to create a forest plot?Python-是否有任何包可以创建森林图?
【发布时间】:2020-12-08 10:18:37
【问题描述】:

您能告诉我如何将不同的风险比率组合到一个森林图上,例如 STATA 或 R 中的 metamiss 吗?

【问题讨论】:

    标签: python-3.x forestplot


    【解决方案1】:

    通过使用 zEPID 包,我创建了一个不同风险比率的森林图。

    import matplotlib.image as mpimg
    import numpy as np
    import matplotlib.pyplot as plt
    import zepid
    from zepid.graphics import EffectMeasurePlot
    
    labs = ["ACA(Isq=41.37% Tausq=0.146 pvalue=0.039 )",
            "ICA0(Isq=25.75% Tausq=0.092 pvalue=0.16 )",
            "ICA1(Isq=60.34% Tausq=0.121 pvalue=0.00 )",
            "ICAb(Isq=25.94% Tausq=0.083 pvalue=0.16 )",
            "ICAw(Isq=74.22% Tausq=0.465 pvalue=0.00 )"]
    measure = [2.09,2.24,1.79,2.71,1.97]
    lower = [1.49,1.63,1.33,2.00,1.25]
    upper = [2.92,3.07,2.42,3.66,3.11]
    p = EffectMeasurePlot(label=labs, effect_measure=measure, lcl=lower, ucl=upper)
    p.labels(effectmeasure='RR')
    p.colors(pointshape="D")
    ax=p.plot(figsize=(7,3), t_adjuster=0.09, max_value=4, min_value=0.35 )
    plt.title("Random Effect Model(Risk Ratio)",loc="right",x=1, y=1.045)
    plt.suptitle("Missing Data Imputation Method",x=-0.1,y=0.98)
    ax.set_xlabel("Favours Control      Favours Haloperidol       ", fontsize=10)
    ax.spines['top'].set_visible(False)
    ax.spines['right'].set_visible(False)
    ax.spines['bottom'].set_visible(True)
    ax.spines['left'].set_visible(False)
    plt.savefig("Missing Data Imputation Method",bbox_inches='tight')
    

    【讨论】:

      猜你喜欢
      • 2017-09-11
      • 1970-01-01
      • 2020-01-14
      • 2017-03-26
      • 2020-12-15
      • 1970-01-01
      • 1970-01-01
      • 2017-12-25
      • 1970-01-01
      相关资源
      最近更新 更多