plot_type = sys.argv[1]
# Set the file basename; if not specified, assume we're plotting
# interactively
if len(sys.argv) > 2:
file_basename = sys.argv[2]
else:
plt.ion()
file_basename = None
# Plot all (raw data)
if plot_type == 'raw':
nba.plot_all(df, nbd_residues, file_basename=file_basename)
# Plot endpoints
elif plot_type == 'nbd_endpoint_norm':
nba.plot_nbd_endpoints(df, nbd_residues, last_n_pts=3,
file_basename=file_basename, normalize_nbd=True)
elif plot_type == 'nbd_endpoint_no_norm':
nba.plot_nbd_endpoints(df, nbd_residues, last_n_pts=3,
file_basename=file_basename, normalize_nbd=False)
elif plot_type == 'release_endpoint_norm':
nba.plot_release_endpoints(df, nbd_residues, normalized_to_wt=True,
last_n_pts=3, file_basename=file_basename)
elif plot_type == 'release_endpoint_no_norm':
nba.plot_release_endpoints(df, nbd_residues, normalized_to_wt=False,
last_n_pts=3, file_basename=file_basename)
elif plot_type == 'initial_rate_samples':
nba.plot_initial_rate_samples(df, nbd_residues, timepoint_ix=4,
file_basename=file_basename)
elif plot_type == 'fret_endpoint':
nba.plot_nbd_endpoints(df_pre, nbd_residues, datatype='FRET',
last_n_pts=10, file_basename=file_basename)
# Which type of plot to make?
plot_type = sys.argv[1]
# Set the file basename; if not specified, assume we're plotting
# interactively
if len(sys.argv) > 2:
file_basename = sys.argv[2]
else:
file_basename = None
# Plot all (raw data)
if plot_type == 'raw':
nba.plot_all(df, nbd_residues, file_basename=file_basename)
# Plot endpoints
elif plot_type == 'nbd_endpoint_norm':
nba.plot_nbd_endpoints(df, nbd_residues, last_n_pts=3,
file_basename=file_basename, normalize_nbd=True)
elif plot_type == 'nbd_endpoint_no_norm':
nba.plot_nbd_endpoints(df, nbd_residues, last_n_pts=3,
file_basename=file_basename, normalize_nbd=False)
elif plot_type == 'release_endpoint_norm':
nba.plot_release_endpoints(df, nbd_residues, normalized_to_wt=True,
last_n_pts=3, file_basename=file_basename)
elif plot_type == 'release_endpoint_no_norm':
nba.plot_release_endpoints(df, nbd_residues, normalized_to_wt=False,
last_n_pts=3, file_basename=file_basename)
elif plot_type == 'initial_rate_samples':
nba.plot_initial_rate_samples(df, nbd_residues, timepoint_ix=4,
file_basename=file_basename)
elif plot_type == 'calc_release_peaks':
nba.calc_release_peaks(df, nbd_residues,
csv_filename='data1_release_peak_times.csv')
