Commit 98d7edf4 authored by Unknown's avatar Unknown
Browse files

Merge remote-tracking branch 'origin/cades_dev' into cades_dev

parents 7ecc40ba f3ecbdf3
......@@ -215,6 +215,7 @@ class Process(object):
The purpose of this function is to allow processes to resume from partly computed results
Start with self.h5_results_grp
raise NotImplementedError('Please override the _get_existing_datasets specific to your process')
......@@ -231,9 +232,12 @@ class Process(object):
self._start_pos = 0
if self._start_pos == 0:
# starting fresh
# resuming from previous checkpoint
while is not None:
......@@ -744,7 +744,7 @@ def plotScree(scree, title='Scree'):
def plot_map_stack(map_stack, num_comps=9, stdevs=2, color_bar_mode=None, evenly_spaced=False, reverse_dims=True,
title='Component', heading='Map Stack', colorbar_label='', fig_mult=(5, 5), pad_mult=(0.1, 0.07),
fig_title_yoffset=None, fig_title_size=None, **kwargs):
Plots the provided stack of maps
......@@ -777,6 +777,10 @@ def plot_map_stack(map_stack, num_comps=9, stdevs=2, color_bar_mode=None, evenly
Multipliers for the axis padding between plots in the stack. Padding is calculated as
(pad_mult[0]*fig_mult[1], pad_mult[1]*fig_mult[0]) for the width and height padding respectively.
Default (0.1, 0.07)
fig_title_yoffset : float
Offset to move the figure title vertically in the figure
fig_title_size : float
Size of figure title
kwargs : dictionary
Keyword arguments to be passed to either matplotlib.pyplot.figure, mpl_toolkits.axes_grid1.ImageGrid, or
pycroscopy.vis.plot_utils.plot_map. See specific function documentation for the relavent options.
......@@ -851,8 +855,14 @@ def plot_map_stack(map_stack, num_comps=9, stdevs=2, color_bar_mode=None, evenly
axes_pad=(pad_w * fig_w, pad_h * fig_h),
fig202.suptitle(heading, fontsize=16+(p_rows+ p_cols), y=0.9)
# These parameters have not been easy to fix:
if fig_title_yoffset is None:
fig_title_yoffset = 0.9
if fig_title_size is None:
fig_title_size = 16+(p_rows+ p_cols)
fig202.suptitle(heading, fontsize=fig_title_size, y=fig_title_yoffset)
for count, index, subtitle in zip(range(chosen_pos.size), chosen_pos, title):
im = plot_map(axes202[count],
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