/usr/share/pyshared/matplotlib/tight_layout.py is in python-matplotlib 1.1.1~rc1+git20120423-0ubuntu1.
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This module provides routines to adjust subplot params so that
subplots are nicely fit in the figure. In doing so, only axis labels,
tick labels and axes titles are currently considered.
Internally, it assumes that the margins (left_margin, etc.) which are
differences between ax.get_tightbbox and ax.bbox are independent of
axes position. This may fail if Axes.adjustable is datalim. Also, This
will fail for some cases (for example, left or right margin is affected by xlabel).
"""
import matplotlib
from matplotlib.transforms import TransformedBbox, Bbox
from matplotlib.font_manager import FontProperties
rcParams = matplotlib.rcParams
def _get_left(tight_bbox, axes_bbox):
return axes_bbox.xmin - tight_bbox.xmin
def _get_right(tight_bbox, axes_bbox):
return tight_bbox.xmax - axes_bbox.xmax
def _get_bottom(tight_bbox, axes_bbox):
return axes_bbox.ymin - tight_bbox.ymin
def _get_top(tight_bbox, axes_bbox):
return tight_bbox.ymax - axes_bbox.ymax
def auto_adjust_subplotpars(fig, renderer,
nrows_ncols,
num1num2_list,
subplot_list,
ax_bbox_list=None,
pad=1.2, h_pad=None, w_pad=None,
rect=None):
"""
Return a dictionary of subplot parameters so that spacing between
subplots are adjusted. Note that this function ignore geometry
information of subplot itself, but uses what is given by
*nrows_ncols* and *num1num2_list* parameteres. Also, the results could be
incorrect if some subplots have ``adjustable=datalim``.
Parameters:
nrows_ncols
number of rows and number of columns of the grid.
num1num2_list
list of numbers specifying the area occupied by the subplot
subplot_list
list of subplots that will be used to calcuate optimal subplot_params.
pad : float
padding between the figure edge and the edges of subplots, as a fraction of the font-size.
h_pad, w_pad : float
padding (height/width) between edges of adjacent subplots.
Defaults to `pad_inches`.
rect
[left, bottom, right, top] in normalized (0, 1) figure coordinates.
"""
rows, cols = nrows_ncols
pad_inches = pad * FontProperties(size=rcParams["font.size"]).get_size_in_points() / renderer.dpi
if h_pad is not None:
vpad_inches = h_pad * FontProperties(size=rcParams["font.size"]).get_size_in_points() / renderer.dpi
else:
vpad_inches = pad_inches
if w_pad is not None:
hpad_inches = w_pad * FontProperties(size=rcParams["font.size"]).get_size_in_points() / renderer.dpi
else:
hpad_inches = pad_inches
if len(subplot_list) == 0:
raise RuntimeError("")
if len(num1num2_list) != len(subplot_list):
raise RuntimeError("")
if rect is None:
margin_left, margin_bottom, margin_right, margin_top = None, None, None, None
else:
margin_left, margin_bottom, _right, _top = rect
if _right: margin_right = 1. - _right
else: margin_right = None
if _top: margin_top = 1. - _top
else: margin_top = None
vspaces = [[] for i in range((rows+1)*cols)]
hspaces = [[] for i in range(rows*(cols+1))]
union = Bbox.union
if ax_bbox_list is None:
ax_bbox_list = []
for subplots in subplot_list:
ax_bbox = union([ax.get_position(original=True) for ax in subplots])
ax_bbox_list.append(ax_bbox)
for subplots, ax_bbox, (num1, num2) in zip(subplot_list,
ax_bbox_list,
num1num2_list):
#ax_bbox = union([ax.get_position(original=True) for ax in subplots])
tight_bbox_raw = union([ax.get_tightbbox(renderer) for ax in subplots])
tight_bbox = TransformedBbox(tight_bbox_raw, fig.transFigure.inverted())
row1, col1 = divmod(num1, cols)
if num2 is None:
# left
hspaces[row1 * (cols+1) + col1].append(_get_left(tight_bbox, ax_bbox))
# right
hspaces[row1 * (cols+1) + (col1+1)].append(_get_right(tight_bbox, ax_bbox))
# top
vspaces[row1 * cols + col1].append(_get_top(tight_bbox, ax_bbox))
# bottom
vspaces[(row1+1) * cols + col1].append(_get_bottom(tight_bbox, ax_bbox))
else:
row2, col2 = divmod(num2, cols)
for row_i in range(row1, row2+1):
# left
hspaces[row_i * (cols+1) + col1].append(_get_left(tight_bbox, ax_bbox))
# right
hspaces[row_i * (cols+1) + (col2+1)].append(_get_right(tight_bbox, ax_bbox))
for col_i in range(col1, col2+1):
# top
vspaces[row1 * cols + col_i].append(_get_top(tight_bbox, ax_bbox))
# bottom
vspaces[(row2+1) * cols + col_i].append(_get_bottom(tight_bbox, ax_bbox))
fig_width_inch, fig_height_inch = fig.get_size_inches()
# margins can be negative for axes with aspect applied. And we
# append + [0] to make minimum margins 0
if not margin_left:
margin_left = max([sum(s) for s in hspaces[::cols+1]] + [0])
margin_left += pad_inches / fig_width_inch
if not margin_right:
margin_right = max([sum(s) for s in hspaces[cols::cols+1]] + [0])
margin_right += pad_inches / fig_width_inch
if not margin_top:
margin_top = max([sum(s) for s in vspaces[:cols]] + [0])
margin_top += pad_inches / fig_height_inch
if not margin_bottom:
margin_bottom = max([sum(s) for s in vspaces[-cols:]] + [0])
margin_bottom += pad_inches / fig_height_inch
kwargs = dict(left=margin_left,
right=1-margin_right,
bottom=margin_bottom,
top=1-margin_top)
if cols > 1:
hspace = max([sum(s) for i in range(rows) for s in hspaces[i*(cols+1)+1:(i+1)*(cols+1)-1]])
hspace += hpad_inches / fig_width_inch
h_axes = ((1-margin_right-margin_left) - hspace * (cols - 1))/cols
kwargs["wspace"]=hspace/h_axes
if rows > 1:
vspace = max([sum(s) for s in vspaces[cols:-cols]])
vspace += vpad_inches / fig_height_inch
v_axes = ((1-margin_top-margin_bottom) - vspace * (rows - 1))/rows
kwargs["hspace"]=vspace/v_axes
return kwargs
def get_renderer(fig):
if fig._cachedRenderer:
renderer = fig._cachedRenderer
else:
canvas = fig.canvas
if canvas and hasattr(canvas, "get_renderer"):
renderer = canvas.get_renderer()
else:
# not sure if this can happen
print "tight_layout : falling back to Agg renderer"
from matplotlib.backends.backend_agg import FigureCanvasAgg
canvas = FigureCanvasAgg(fig)
renderer = canvas.get_renderer()
return renderer
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