https://codingforchemistsbook.com/book_material/chapter-3/index.html Data Download Data for Chapter 3 Alternatively, individual files can be found in the Data section. Code from chapter ''' A program to plot multiple uv-vis spectra from .csv files from a titration experiment Requires: .csv files with col 1 as wavelength and col 2 as intensity Written by: Ben Lear and Chris Johnson (authors@codechembook.com) v1.0.0 - 250131 - initial version ''' import numpy as np from plotly.subplots import make_subplots from codechembook.quickTools import quickOpenFilenames # First, we need the names of the files that we want to plot # Ask the user to select the files and then sort the resulting list data_files = quickOpenFilenames(filetypes = 'CSV files, *.csv') sorted_data_files = sorted(data_files) # Next, we will process one file at a time and add it to the plot titration_series = make_subplots() # start a blank plotly figure object # Read the data in one file and add it as a scatter trace to the figure object for file in sorted_data_files: # loop through the data files one at a time # Read the data and store it in temporary x and y variables x_data, y_data = np.genfromtxt(file, delimiter = ',', skip_header = 1, unpack = True) # Add data as scatter trace with formatted lines and exclude from legend titration_series.add_scatter(x = x_data, y = y_data, line = dict(color = 'gray', width = 1, dash = 'dot'), name = file.stem + ' eqs', showlegend=False) # Adjust the appearance of only the first and last traces to highlight titration_series.update_traces(selector = 0, # specify the initial trace line = dict(color = 'darkcyan', width = 2, dash = 'solid'), showlegend = True, name = 'initial') titration_series.update_traces(selector = -1, # specify the final trace line = dict(color = 'darkred', width = 2, dash = 'solid'), showlegend = True, name = 'final') # Move the initial trace to the end of the data, so that it is drawn on top titration_series.data = titration_series.data[1:] + titration_series.data[:1] # Format the plot area and then show it and then save it titration_series.update_layout(template = 'simple_white') titration_series.update_xaxes(title = 'wavelength /nm', range = [270, 1100]) titration_series.update_yaxes(title = 'absorbance', range = [0, 4.5]) titration_series.show('png+browser') titration_series.write_image('titration.png', width = 3*300, height = 2*300) Solutions to Exercises Targeted exercises Making ordered collections of data more flexible using list objects Exercise 0 Make a list that contains no items. Hugo en-us authors@codingforchemistsbook.com (Benjamin Lear and Christopher Johnson) authors@codingforchemistsbook.com (Benjamin Lear and Christopher Johnson)