Saline Concentration Data Analysis and CSV Export

This code processes saline concentration data and exports the results to a CSV file.

concentration_list = ['saline0.05%', 'saline0.10%', 'saline0.20%', 'saline0.30%', 'saline0.40%', 'saline0.50%']
df_saline_median = pd.DataFrame(columns=['1kHz_mag', '2kHz_mag', '3kHz_mag', '7kHz_mag', '11kHz_mag', '17kHz_mag',
                                         '23kHz_mag', '31kHz_mag', '43kHz_mag', '61kHz_mag', '89kHz_mag', '127kHz_mag',
                                         '179kHz_mag', '251kHz_mag', '349kHz_mag'])
for i in concentration_list:
    saline_group = df[df['name'] == i]
    saline_group.to_csv('1.csv', index=False)  # Store data to CSV

The code defines a list of saline concentrations (concentration_list) and initializes an empty DataFrame (df_saline_median) to store median values for different frequency bands. It then iterates through each concentration in the list, filters the data based on the concentration, and stores the results in a CSV file named '1.csv'.

This code assumes that the original data is stored in a DataFrame named df. It also assumes that the data contains a column named 'name' that represents the saline concentration.

This script demonstrates a basic example of how to process and export saline concentration data. For more complex data analysis and visualizations, you may want to explore other features of the pandas library and other Python data visualization libraries like matplotlib or seaborn.