API Reference

This is the classes and functions reference of expyfun. Functions are grouped by hardware control type.

Experiment control

Experiment control functions.

ExperimentController(exp_name[, ...])	Interface for hardware control (audio, buttonbox, eye tracker, etc.)
EyelinkController(ec[, link, fs, verbose])	Eyelink communication and control methods.
ParallelTrigger([mode, address, ...])	Parallel port and dummy triggering support.
SoundCardController(params, stim_fs[, ...])	Use a sound card.
TDTController(tdt_params, ec)	Interface for TDT audio output, stamping, and responses.
assert_version(version)	Assert that a specific version of expyfun is imported
binary_to_decimals(binary, n_bits)	Convert a sequence of binary numbers to a sequence of decimal numbers.
check_units(units)	Ensure user passed valid units type
decimals_to_binary(decimals, n_bits)	Convert a sequence of decimal numbers to a sequence of binary numbers.
download_version([version, dest_dir])	Download specific expyfun version
get_config([key, default, raise_error])	Read expyfun preference from env, then expyfun config
get_config_path()	Get path to standard expyfun config file.
get_keyboard_input(prompt[, default, ...])	Get keyboard input of a specific type
known_config_types	Built-in immutable sequence.
set_log_level([verbose, return_old_level])	Convenience function for setting the logging level
set_config(key, value)	Set expyfun preference in config

Sound stimulus design

Experiment sound stimulus functions.

CRMPreload(fs[, ref_rms, ramp_dur, stereo, path])	Store the CRM corpus in memory for fast access.
TrackerBinom(callback, alpha, chance, max_trials)	Binomial hypothesis testing tracker
TrackerDealer(callback, trackers[, max_lag, ...])	Class for selecting and pacing independent simultaneous trackers
TrackerUD(callback, up, down, step_size_up, ...)	Up-down adaptive tracker
TrackerMHW(callback, x_min, x_max[, ...])	Up-down adaptive tracker for the modified Hughson-Westlake Procedure
convolve_hrtf(data, fs, angle[, source, interp])	Convolve a signal with a head-related transfer function.
compute_mls_impulse_response(response, mls, ...)	Compute the impulse response from data obtained using MLS
crm_info()	Get allowable options for CRM stimuli.
crm_prepare_corpus(fs[, path_out, ...])	Prepare the CRM corpus for a given sampling rate and convert to wav
crm_response_menu(ec[, colors, numbers, ...])	Create a mouse-driven CRM response menu.
crm_sentence(fs, sex, talker_num, callsign, ...)	Get a specific sentence from the hard drive.
get_tdt_rates()	Get the TDT sample rates.
play_sound(sound[, fs, norm, wait, backend])	Play a sound
repeated_mls(n_samp, n_repeats)	Generate a repeated MLS 0/1 signal for finding an impulse response
rms(data[, axis, keepdims])	Calculate the RMS of a signal
texture_ERB([n_freqs, n_coh, rho, seq, fs, ...])	Create ERB texture stimulus
vocode(data, fs[, n_bands, freq_lims, ...])	Vocode stimuli using a variety of methods
window_edges(sig, fs[, dur, axis, window, edges])	Window the edges of a signal (e.g., to prevent "pops")

File I/O

File reading and writing routines.

read_hdf5(fname)	Read python object from HDF5 format using h5io/h5py
read_tab_raw(fname[, return_params])	Read .tab file from expyfun output without segmenting into trials.
read_tab(fname[, group_start, group_end, ...])	Read .tab file from expyfun output and segment into trials.
read_wav(fname[, verbose])	Read in a WAV file
write_hdf5(fname, data[, overwrite, compression])	Write python object to HDF5 format using h5io/h5py
write_wav(fname, data, fs[, dtype, ...])	Write a WAV file
reconstruct_tracker(fname)	Reconstruct TrackerUD, TrackerBinom, TrackerMHW objects from .tab files.
reconstruct_dealer(fname)	Reconstruct TrackerDealer object from .tab files.

Circle(ec[, radius, pos, units, n_edges, ...])	A circle or ellipse.
ConcentricCircles(ec[, radii, pos, units, ...])	A set of filled concentric circles drawn without edges.
Diamond(ec, pos[, units, fill_color, ...])	A diamond.
FixationDot(ec[, colors])	A reasonable centered fixation dot.
Line(ec, coords[, units, line_color, ...])	A connected set of line segments
ProgressBar(ec, pos[, units, colors])	A progress bar that can be displayed between sections.
RawImage(ec, image_buffer[, pos, scale, units])	Create image from array for on-screen display.
Rectangle(ec, pos[, units, fill_color, ...])	A rectangle.
Text(ec, text[, pos, color, font_name, ...])	A text object.
Triangle(ec, coords[, units, fill_color, ...])	A triangle
Video(ec, file_name[, pos, units, scale, ...])	Read video file and draw it to the screen.

Code blocks

Basic building blocks for standard experimental protocols.

find_pupil_dynamic_range(ec, el[, prompt, ...])	Find pupil dynamic range
find_pupil_tone_impulse_response(ec, el, ...)	Find pupil impulse response using responses to tones

expyfun.analyze:

Analysis

Tools for data analysis.

barplot(h[, axis, ylim, err_bars, lines, ...])	Makes barplots w/ optional line overlays, grouping, & signif.
box_off(ax)	Remove the top and right edges of a plot frame, and point ticks outward.
dprime(hmfc[, zero_correction, return_bias, ...])	Estimate d′ and bias.
fit_sigmoid(x, y[, p0, fixed])	Fit a sigmoid to summary data
format_pval(pval[, latex, scheme])	Format a p-value using one of several schemes.
logit(prop[, max_events])	Convert proportion (expressed in the range [0, 1]) to logit.
plot_screen(screen[, ax])	Plot a captured screenshot
press_times_to_hmfc(presses, targets, foils, ...)	Convert press times to hits/misses/FA/CR and reaction times
restore_values(correct, other, idx)	Restore missing values from one sequence using another
rt_chisq(x[, axis, warn])	Chi square fit for reaction times (a better summary statistic than mean)
sigmoid(x[, lower, upper, midpt, slope])	Calculate sigmoidal values along the x-axis