What type of plots is suitable for time-dependent treatment on gene expression for each patient?

Question

[melissachua90]

I want to plot the effects of time-dependent treatment for each gene expression for each patient. What type of plot would be suitable? I tried barplot but it's unsuitable.

Time variable: The substring before the first underscore in the column names. Patient ID variable: The substring after the first underscore in the column names. Gene names variable: The column index

Rearrange the column order:

import re
import plotly.express as px

    # Sort the columns using a key. The key function extracts patient ID and time, puts the patient ID first and adds the zero filled the time. 

    def key(s):
        m = re.search(r'(\d+)h_P(\d)', s)
        return m.group(2) + m.group(1).zfill(2)

    treatment_df = treatment_df[sorted(treatment_df.columns, key=key)]

Barplot:

fig = px.bar(treatment_df, x=treatment_df.columns, y=treatment_df.index, color=treatment_df.index, title="Time-dependent treatment effect on gene expression")
fig.show()

Data:

treatment_df.head().to_dict()

{'0h_P1_T1_TimeC1_PIDC4_Non-Survivor': {'DNAJB6 /// TMEM135': '9.25',
  'DNAJC14': '8.44',
  'DNAJC15': '8.66',
  'DNAJC30': '7.34',
  'DNAJC9': '7.62'},
 '0h_P2_T1_TimeC2_PIDC2_Survivor': {'DNAJB6 /// TMEM135': '9.26',
  'DNAJC14': '8.34',
  'DNAJC15': '8.63',
  'DNAJC30': '7.42',
  'DNAJC9': '7.19'},
 '0h_P3_T1_TimeC1_PIDC1_Survivor': {'DNAJB6 /// TMEM135': '9.07',
  'DNAJC14': '8.67',
  'DNAJC15': '8.91',
  'DNAJC30': '7.15',
  'DNAJC9': '7.22'},
 '0h_P4_T1_TimeC1_PIDC1_Survivor': {'DNAJB6 /// TMEM135': '8.56',
  'DNAJC14': '8.63',
  'DNAJC15': '9.29',
  'DNAJC30': '7.46',
  'DNAJC9': '7.16'},
 '0h_P5_T1_TimeC4_PIDC3_Survivor': {'DNAJB6 /// TMEM135': '9.42',
  'DNAJC14': '8.32',
  'DNAJC15': '8.63',
  'DNAJC30': '7.29',
  'DNAJC9': '7.29'},
 '12h_P1_T4_TimeC2_PIDC4_Non-Survivor': {'DNAJB6 /// TMEM135': '8.58',
  'DNAJC14': '8.64',
  'DNAJC15': '8.98',
  'DNAJC30': '7.2',
  'DNAJC9': '7.23'},
 '12h_P2_T4_TimeC3_PIDC2_Survivor': {'DNAJB6 /// TMEM135': '8.94',
  'DNAJC14': '8.38',
  'DNAJC15': '8.03',
  'DNAJC30': '7.32',
  'DNAJC9': '7.26'},
 '12h_P3_T4_TimeC2_PIDC1_Survivor': {'DNAJB6 /// TMEM135': '9.27',
  'DNAJC14': '8.57',
  'DNAJC15': '8.27',
  'DNAJC30': '7.32',
  'DNAJC9': '7.39'},
 '12h_P4_T4_TimeC2_PIDC2_Survivor': {'DNAJB6 /// TMEM135': '8.5',
  'DNAJC14': '8.25',
  'DNAJC15': '8.47',
  'DNAJC30': '6.98',
  'DNAJC9': '7.12'},
 '12h_P5_T4_TimeC2_PIDC3_Survivor': {'DNAJB6 /// TMEM135': '9.18',
  'DNAJC14': '8.25',
  'DNAJC15': '8.66',
  'DNAJC30': '7.38',
  'DNAJC9': '7.6'},
 '24h_P1_T5_TimeC4_PIDC4_Non-Survivor': {'DNAJB6 /// TMEM135': '8.13',
  'DNAJC14': '8.43',
  'DNAJC15': '8.33',
  'DNAJC30': '7.41',
  'DNAJC9': '6.68'},
 '24h_P2_T5_TimeC3_PIDC2_Survivor': {'DNAJB6 /// TMEM135': '8.85',
  'DNAJC14': '8.54',
  'DNAJC15': '8.73',
  'DNAJC30': '7.26',
  'DNAJC9': '7.49'},
 '24h_P3_T5_TimeC3_PIDC1_Survivor': {'DNAJB6 /// TMEM135': '8.99',
  'DNAJC14': '8.42',
  'DNAJC15': '8.92',
  'DNAJC30': '7.25',
  'DNAJC9': '7.27'},
 '24h_P4_T5_TimeC3_PIDC2_Survivor': {'DNAJB6 /// TMEM135': '9.26',
  'DNAJC14': '8.6',
  'DNAJC15': '7.62',
  'DNAJC30': '6.93',
  'DNAJC9': '7.3'},
 '24h_P5_T5_TimeC3_PIDC3_Survivor': {'DNAJB6 /// TMEM135': '9.31',
  'DNAJC14': '8.14',
  'DNAJC15': '8.11',
  'DNAJC30': '7.52',
  'DNAJC9': '7.64'},
 '48h_P1_T6_TimeC3_PIDC1_Non-Survivor': {'DNAJB6 /// TMEM135': '9.05',
  'DNAJC14': '8.27',
  'DNAJC15': '7.63',
  'DNAJC30': '7.46',
  'DNAJC9': '7.42'},
 '48h_P2_T6_TimeC3_PIDC3_Survivor': {'DNAJB6 /// TMEM135': '8.57',
  'DNAJC14': '8.23',
  'DNAJC15': '8.6',
  'DNAJC30': '7.45',
  'DNAJC9': '7.62'},
 '48h_P3_T6_TimeC3_PIDC1_Survivor': {'DNAJB6 /// TMEM135': '9.23',
  'DNAJC14': '8.65',
  'DNAJC15': '7.71',
  'DNAJC30': '6.77',
  'DNAJC9': '7.26'},
 '48h_P4_T6_TimeC3_PIDC2_Survivor': {'DNAJB6 /// TMEM135': '8.99',
  'DNAJC14': '8.7',
  'DNAJC15': '7.99',
  'DNAJC30': '7.28',
  'DNAJC9': '7.5'},
 '48h_P5_T6_TimeC3_PIDC3_Survivor': {'DNAJB6 /// TMEM135': '8.78',
  'DNAJC14': '8.21',
  'DNAJC15': '8.02',
  'DNAJC30': '7.56',
  'DNAJC9': '7.69'},
 '4h_P1_T2_TimeC1_PIDC4_Non-Survivor': {'DNAJB6 /// TMEM135': '8.25',
  'DNAJC14': '8.69',
  'DNAJC15': '8.78',
  'DNAJC30': '7.53',
  'DNAJC9': '7.29'},
 '4h_P2_T2_TimeC2_PIDC1_Survivor': {'DNAJB6 /// TMEM135': '9.49',
  'DNAJC14': '8.47',
  'DNAJC15': '8.7',
  'DNAJC30': '7.41',
  'DNAJC9': '7.23'},
 '4h_P3_T2_TimeC2_PIDC1_Survivor': {'DNAJB6 /// TMEM135': '9.87',
  'DNAJC14': '8.38',
  'DNAJC15': '8.03',
  'DNAJC30': '7.29',
  'DNAJC9': '7.57'},
 '4h_P5_T2_TimeC2_PIDC3_Survivor': {'DNAJB6 /// TMEM135': '9.2',
  'DNAJC14': '8.1',
  'DNAJC15': '7.9',
  'DNAJC30': '7.47',
  'DNAJC9': '7.62'},
 '8h_P1_T3_TimeC4_PIDC4_Non-Survivor': {'DNAJB6 /// TMEM135': '8.49',
  'DNAJC14': '8.58',
  'DNAJC15': '8.22',
  'DNAJC30': '7.29',
  'DNAJC9': '7.13'},
 '8h_P2_T3_TimeC2_PIDC2_Survivor': {'DNAJB6 /// TMEM135': '9.16',
  'DNAJC14': '8.13',
  'DNAJC15': '7.88',
  'DNAJC30': '7.58',
  'DNAJC9': '7.18'},
 '8h_P3_T3_TimeC4_PIDC1_Survivor': {'DNAJB6 /// TMEM135': '8.52',
  'DNAJC14': '8.44',
  'DNAJC15': '9.23',
  'DNAJC30': '7.38',
  'DNAJC9': '7.2'},
 '8h_P4_T3_TimeC4_PIDC1_Survivor': {'DNAJB6 /// TMEM135': '9.28',
  'DNAJC14': '8.53',
  'DNAJC15': '8.22',
  'DNAJC30': '7.32',
  'DNAJC9': '6.84'},
 '8h_P5_T3_TimeC4_PIDC3_Survivor': {'DNAJB6 /// TMEM135': '9.29',
  'DNAJC14': '8.41',
  'DNAJC15': '9.08',
  'DNAJC30': '7.28',
  'DNAJC9': '7.69'}}