/usr/lib/python2.7/dist-packages/mpld3/mpld3renderer.py is in python-mpld3 0.3git+20140910dfsg-2.
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mpld3 renderer
==============
This is the renderer class which implements the mplexporter framework for mpld3
"""
__all__ = ["MPLD3Renderer"]
import random
import json
import jinja2
import itertools
import numpy as np
from mplexporter.utils import color_to_hex
from mplexporter.exporter import Exporter
from mplexporter.renderers import Renderer
from .utils import get_id
from .plugins import get_plugins
class MPLD3Renderer(Renderer):
"""Renderer class for mpld3
This renderer class plugs into the ``mplexporter`` package in order to
convert matplotlib figures into a JSON-serializable dictionary
representation which can be read by mpld3.js.
"""
def __init__(self):
self.figure_json = None
self.axes_json = None
self.finished_figures = []
@staticmethod
def datalabel(i):
return "data{0:02d}".format(i)
def add_data(self, data, key="data"):
"""Add a dataset to the current figure
If the dataset matches any already added data, we use that instead.
Parameters
----------
data : array_like
a shape [N,2] array of data
key : string (optional)
the key to use for the data
Returns
-------
datadict : dictionary
datadict has the keys "data", "xindex", "yindex", which will
be passed to the mpld3 JSON object.
"""
# Check if any column of the data exists elsewhere
# If so, we'll use that dataset rather than duplicating it.
data = np.asarray(data)
if data.ndim != 2 and data.shape[1] != 2:
raise ValueError("Data is expected to be of size [N, 2]")
for (i, d) in enumerate(self.datasets):
if data.shape[0] != d.shape[0]:
continue
matches = np.array([np.all(col == d.T, axis=1) for col in data.T])
if not np.any(matches):
continue
# If we get here, we've found a dataset with a matching column
# we'll update this data with additional columns if necessary
new_data = list(self.datasets[i].T)
indices = []
for j in range(data.shape[1]):
whr = np.where(matches[j])[0]
if len(whr):
indices.append(whr[0])
else:
# append a new column to the data
new_data.append(data[:, j])
indices.append(len(new_data) - 1)
self.datasets[i] = np.asarray(new_data).T
datalabel = self.datalabel(i + 1)
xindex, yindex = map(int, indices)
break
else:
# else here can be thought of as "if no break"
# if we get here, then there were no matching datasets
self.datasets.append(data)
datalabel = self.datalabel(len(self.datasets))
xindex = 0
yindex = 1
self.datalabels.append(datalabel)
return {key: datalabel, "xindex": xindex, "yindex": yindex}
def open_figure(self, fig, props):
self.datasets = []
self.datalabels = []
self.figure_json = dict(width=props['figwidth'] * props['dpi'],
height=props['figheight'] * props['dpi'],
axes=[],
data={},
id=get_id(fig))
def close_figure(self, fig):
additional_css = []
additional_js = []
for i, dataset in enumerate(self.datasets):
datalabel = self.datalabel(i + 1)
self.figure_json['data'][datalabel] = np.asarray(dataset).tolist()
self.figure_json["plugins"] = []
for plugin in get_plugins(fig):
self.figure_json["plugins"].append(plugin.get_dict())
additional_css.append(plugin.css())
additional_js.append(plugin.javascript())
self.finished_figures.append((fig, self.figure_json,
"".join(additional_css),
"".join(additional_js)))
def open_axes(self, ax, props):
self.axes_json = dict(bbox=props['bounds'],
xlim=props['xlim'],
ylim=props['ylim'],
xdomain=props['xdomain'],
ydomain=props['ydomain'],
xscale=props['xscale'],
yscale=props['yscale'],
axes=props['axes'],
axesbg=props['axesbg'],
axesbgalpha=props['axesbgalpha'],
zoomable=bool(props['dynamic']),
id=get_id(ax),
lines=[],
paths=[],
markers=[],
texts=[],
collections=[],
images=[])
self.figure_json['axes'].append(self.axes_json)
# Get shared axes info
xsib = ax.get_shared_x_axes().get_siblings(ax)
ysib = ax.get_shared_y_axes().get_siblings(ax)
self.axes_json['sharex'] = [get_id(axi) for axi in xsib
if axi is not ax]
self.axes_json['sharey'] = [get_id(axi) for axi in ysib
if axi is not ax]
def close_axes(self, ax):
self.axes_json = None
# If draw_line() is not implemented, it will be delegated to draw_path
# Should we get rid of this? There's not really any advantage here
def draw_line(self, data, coordinates, style, label, mplobj=None):
line = self.add_data(data)
line['coordinates'] = coordinates
line['id'] = get_id(mplobj)
for key in ['color', 'linewidth', 'dasharray', 'alpha', 'zorder']:
line[key] = style[key]
# Some browsers do not accept dasharray="10,0"
# This should probably be addressed in mplexporter.
if line['dasharray'] == "10,0":
line['dasharray'] = "none"
self.axes_json['lines'].append(line)
def draw_path(self, data, coordinates, pathcodes, style,
offset=None, offset_coordinates="data", mplobj=None):
path = self.add_data(data)
path['coordinates'] = coordinates
path['pathcodes'] = pathcodes
path['id'] = get_id(mplobj)
if offset is not None:
path['offset'] = list(offset)
path['offsetcoordinates'] = offset_coordinates
for key in ['dasharray', 'alpha', 'facecolor',
'edgecolor', 'edgewidth', 'zorder']:
path[key] = style[key]
# Some browsers do not accept dasharray="10,0"
# This should probably be addressed in mplexporter.
if path['dasharray'] == "10,0":
path['dasharray'] = "none"
self.axes_json['paths'].append(path)
# If draw_markers is not implemented, it will be delegated to draw_path
def draw_markers(self, data, coordinates, style, label, mplobj=None):
markers = self.add_data(data)
markers["coordinates"] = coordinates
markers['id'] = get_id(mplobj, 'pts')
for key in ['facecolor', 'edgecolor', 'edgewidth',
'alpha', 'zorder']:
markers[key] = style[key]
if style.get('markerpath'):
vertices, codes = style['markerpath']
markers['markerpath'] = (vertices.tolist(), codes)
self.axes_json['markers'].append(markers)
# If draw_path_collection is not implemented,
# it will be delegated to draw_path
def draw_path_collection(self, paths, path_coordinates, path_transforms,
offsets, offset_coordinates, offset_order,
styles, mplobj=None):
if len(paths) != 0:
styles = dict(alphas=[styles['alpha']],
edgecolors=[color_to_hex(ec)
for ec in styles['edgecolor']],
facecolors=[color_to_hex(fc)
for fc in styles['facecolor']],
edgewidths=styles['linewidth'],
offsetcoordinates=offset_coordinates,
pathcoordinates=path_coordinates,
zorder=styles['zorder'])
pathsdict = self.add_data(offsets, "offsets")
pathsdict['paths'] = [(v.tolist(), p) for (v, p) in paths]
pathsdict['pathtransforms'] = [(t[0, :2].tolist()
+ t[1, :2].tolist()
+ t[2, :2].tolist())
for t in path_transforms]
pathsdict.update(styles)
pathsdict['id'] = get_id(mplobj)
self.axes_json['collections'].append(pathsdict)
def draw_text(self, text, position, coordinates, style,
text_type=None, mplobj=None):
text = dict(text=text,
position=tuple(position),
coordinates=coordinates,
h_anchor=TEXT_HA_DICT[style['halign']],
v_baseline=TEXT_VA_DICT[style['valign']],
rotation=-style['rotation'],
fontsize=style['fontsize'],
color=style['color'],
alpha=style['alpha'],
zorder=style['zorder'],
id=get_id(mplobj))
self.axes_json['texts'].append(text)
def draw_image(self, imdata, extent, coordinates, style, mplobj=None):
image = dict(data=imdata, extent=extent, coordinates=coordinates)
image.update(style)
image['id'] = get_id(mplobj)
self.axes_json['images'].append(image)
TEXT_VA_DICT = {'bottom': 'auto',
'baseline': 'auto',
'center': 'central',
'top': 'hanging'}
TEXT_HA_DICT = {'left': 'start',
'center': 'middle',
'right': 'end'}
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