绘制临床试验的时间序列

Question

我有来自临床试验研究的数据，如下所示：

subject_ID Trial_ID MEASUREMENT_1 MEASUREMENT_2 MEASUREMENT_3... MEASUREMENT_101
1             1         0.13       0.12          0.09              0.23
1             2         0.11       0.13          0.089             0.2 

我如何将 plot 这个数据作为一个时间序列，在一个 plot 中对一个受试者进行多次试验？

我想使用 matplotlib 和 seaborn 但任何其他库也可以。

提前致谢

Answer 1

推荐你简单地使用 Pandas 库，并使用 pandas.plot() 一个一个循环遍历 subject_ID

import pandas as pd
my_df = pd.read_csv("clinical_trial_study.csv")
subjects = list(set(list(my_df["Subject_ID"])))
for i in subjects:
    temp_df = my_df[my_df["Subject_ID"] == i]]
    #organise your data however you want here - likely using groupby#
    temp_df.plot()

Answer 2

# wide to long form
df2 = df.melt(id_vars=['subject_ID','Trial_ID'],
              var_name='measurement',value_name='value')

# extract numbers from measurements so they will sort correctly on plot
df2['measurement'] = df2['measurement'].str.extract('(\d+)').astype(int)

# get Seaborn to properly interpret for hue keyword argument
df2['Trial_ID'] = df2['Trial_ID'].astype('category')

sns.lineplot(x='measurement',y='value',hue='Trial_ID',data=df2) 

结果：