plotting.py

# Straightforward code to plot the FRAP curve generated by the export.py file (.csv)
# It will plot the average +- std of the normalized data

import pandas as pd
import matplotlib.pyplot as plt

csv_file_path = '/path/to/FRAP_data_give_name_here.csv' 
data = pd.read_csv(csv_file_path)
number_of_rois = data['ROI Name'].nunique()
grouped_data = data.groupby('Time (s)')['Normalized Intensity'].agg(['mean', 'std'])

fig, ax = plt.subplots(figsize=(5,6))
ax.plot(grouped_data.index,
        grouped_data['mean'],
        label='Average Intensity',
        color='purple')
ax.fill_between(grouped_data.index,
                grouped_data['mean'] - grouped_data['std'],
                grouped_data['mean'] + grouped_data['std'],
                color='purple',
                alpha=0.1,
                label='Standard Deviation')

ax.set_xlabel('Time (s)')
ax.set_ylabel('Normalized Intensity')
ax.set_title(f'N={number_of_rois}')
ax.set_xlim(-10, 200)
ax.legend() 

plt.show()