def tsplot(series, *args, **kwargs):
"""Plots the series to the current TimeSeries subplot.
If the current plot is not a TimeSeriesPlot, a new TimeSeriesFigure is created."""
# allow callers to override the hold state by passing hold=True|False
b = pylab.ishold()
h = kwargs.pop('hold', None)
if h is not None:
pylab.hold(h)
# Get the current figure, or create one
figManager = _pylab_helpers.Gcf.get_active()
if figManager is not None :
fig = figManager.canvas.figure
if not isinstance(fig, TimeSeriesFigure):
fig = tsfigure(series=series)
else:
fig = tsfigure(series=series)
# Get the current axe, or create one
sub = fig._axstack()
if sub is None:
sub = fig.add_tsplot(111,series=series,**kwargs)
try:
ret = sub.tsplot(series, *args, **kwargs)
pylab.draw_if_interactive()
except:
pylab.hold(b)
raise
pylab.hold(b)
return ret
def tsplot(series, *args, **kwargs):
"""
Plots the series to the current :class:`TimeSeriesPlot`.
If the current plot is not a :class:`TimeSeriesPlot`,
a new :class:`TimeSeriesFigure` is created.
Parameters
----------
series : TimeSeries
The time series to plot
%(mandatoryplotargs)s
kwargs : var
Optional arguments for the creation of the subplot.
"""
# allow callers to override the hold state by passing hold=True|False
b = pylab.ishold()
h = kwargs.pop("hold", None)
if h is not None:
pylab.hold(h)
# Get the current figure, or create one
figManager = _pylab_helpers.Gcf.get_active()
if figManager is not None:
fig = figManager.canvas.figure
if not isinstance(fig, TimeSeriesFigure):
fig = tsfigure(series=series)
else:
fig = tsfigure(series=series)
# Get the current axe, or create one
sub = fig._axstack()
if sub is None:
sub = fig.add_tsplot(111, series=series, **kwargs)
try:
ret = sub.tsplot(series, *args, **kwargs)
pylab.draw_if_interactive()
except:
pylab.hold(b)
raise
pylab.hold(b)
return ret
def tsplot(series, *args, **kwargs):
"""
Plots the series to the current :class:`TimeSeriesPlot`.
If the current plot is not a :class:`TimeSeriesPlot`,
a new :class:`TimeSeriesFigure` is created.
Parameters
----------
series : TimeSeries
The time series to plot
%(mandatoryplotargs)s
kwargs : var
Optional arguments for the creation of the subplot.
"""
# allow callers to override the hold state by passing hold=True|False
b = pylab.ishold()
h = kwargs.pop('hold', None)
if h is not None:
pylab.hold(h)
# Get the current figure, or create one
figManager = _pylab_helpers.Gcf.get_active()
if figManager is not None:
fig = figManager.canvas.figure
if not isinstance(fig, TimeSeriesFigure):
fig = tsfigure(series=series)
else:
fig = tsfigure(series=series)
# Get the current axe, or create one
sub = fig._axstack()
if sub is None:
sub = fig.add_tsplot(111, series=series, **kwargs)
try:
ret = sub.tsplot(series, *args, **kwargs)
pylab.draw_if_interactive()
except:
pylab.hold(b)
raise
pylab.hold(b)
return ret
def draw(G, pos=None, ax=None, hold=None, **kwds):
"""Draw the graph G with Matplotlib (pylab).
Draw the graph as a simple representation with no node
labels or edge labels and using the full Matplotlib figure area
and no axis labels by default. See draw_networkx() for more
full-featured drawing that allows title, axis labels etc.
Parameters
----------
G : graph
A networkx graph
pos : dictionary, optional
A dictionary with nodes as keys and positions as values.
If not specified a spring layout positioning will be computed.
See networkx.layout for functions that compute node positions.
ax : Matplotlib Axes object, optional
Draw the graph in specified Matplotlib axes.
hold: bool, optional
Set the Matplotlib hold state. If True subsequent draw
commands will be added to the current axes.
**kwds: optional keywords
See networkx.draw_networkx() for a description of optional keywords.
Examples
--------
>>> G=nx.dodecahedral_graph()
>>> nx.draw(G)
>>> nx.draw(G,pos=nx.spring_layout(G)) # use spring layout
See Also
--------
draw_networkx()
draw_networkx_nodes()
draw_networkx_edges()
draw_networkx_labels()
draw_networkx_edge_labels()
Notes
-----
This function has the same name as pylab.draw and pyplot.draw
so beware when using
>>> from networkx import *
since you might overwrite the pylab.draw function.
Good alternatives are:
With pylab:
>>> import pylab as P #
>>> import networkx as nx
>>> G=nx.dodecahedral_graph()
>>> nx.draw(G) # networkx draw()
>>> P.draw() # pylab draw()
With pyplot
>>> import matplotlib.pyplot as plt
>>> import networkx as nx
>>> G=nx.dodecahedral_graph()
>>> nx.draw(G) # networkx draw()
>>> plt.draw() # pyplot draw()
Also see the NetworkX drawing examples at
http://networkx.lanl.gov/gallery.html
"""
try:
import matplotlib.pylab as pylab
except ImportError:
raise ImportError, "Matplotlib required for draw()"
except RuntimeError:
print "Matplotlib unable to open display"
raise
cf=pylab.gcf()
cf.set_facecolor('w')
if ax is None:
if cf._axstack() is None:
ax=cf.add_axes((0,0,1,1))
else:
ax=cf.gca()
# allow callers to override the hold state by passing hold=True|False
b = pylab.ishold()
h = kwds.pop('hold', None)
if h is not None:
pylab.hold(h)
try:
ax.set_axis_off()
draw_networkx(G,pos=pos,ax=ax,**kwds)
pylab.draw_if_interactive()
except:
pylab.hold(b)
raise
pylab.hold(b)
return
def draw(G, pos=None, ax=None, hold=None, **kwds):
"""Draw the graph G with Matplotlib (pylab).
Draw the graph as a simple representation with no node
labels or edge labels and using the full Matplotlib figure area
and no axis labels by default. See draw_networkx() for more
full-featured drawing that allows title, axis labels etc.
Parameters
----------
G : graph
A networkx graph
pos : dictionary, optional
A dictionary with nodes as keys and positions as values.
If not specified a spring layout positioning will be computed.
See networkx.layout for functions that compute node positions.
ax : Matplotlib Axes object, optional
Draw the graph in specified Matplotlib axes.
hold : bool, optional
Set the Matplotlib hold state. If True subsequent draw
commands will be added to the current axes.
**kwds : optional keywords
See networkx.draw_networkx() for a description of optional keywords.
Examples
--------
>>> G=nx.dodecahedral_graph()
>>> nx.draw(G)
>>> nx.draw(G,pos=nx.spring_layout(G)) # use spring layout
See Also
--------
draw_networkx()
draw_networkx_nodes()
draw_networkx_edges()
draw_networkx_labels()
draw_networkx_edge_labels()
Notes
-----
This function has the same name as pylab.draw and pyplot.draw
so beware when using
>>> from networkx import *
since you might overwrite the pylab.draw function.
Good alternatives are:
With pylab:
>>> import pylab as P #
>>> import networkx as nx
>>> G=nx.dodecahedral_graph()
>>> nx.draw(G) # networkx draw()
>>> P.draw() # pylab draw()
With pyplot
>>> import matplotlib.pyplot as plt
>>> import networkx as nx
>>> G=nx.dodecahedral_graph()
>>> nx.draw(G) # networkx draw()
>>> plt.draw() # pyplot draw()
Also see the NetworkX drawing examples at
http://networkx.lanl.gov/gallery.html
"""
try:
import matplotlib.pylab as pylab
except ImportError:
raise ImportError("Matplotlib required for draw()")
except RuntimeError:
print("Matplotlib unable to open display")
raise
cf=pylab.gcf()
cf.set_facecolor('w')
if ax is None:
if cf._axstack() is None:
ax=cf.add_axes((0,0,1,1))
else:
ax=cf.gca()
# allow callers to override the hold state by passing hold=True|False
b = pylab.ishold()
h = kwds.pop('hold', None)
if h is not None:
pylab.hold(h)
try:
draw_networkx(G,pos=pos,ax=ax,**kwds)
ax.set_axis_off()
pylab.draw_if_interactive()
except:
pylab.hold(b)
raise
pylab.hold(b)
return
def draw(G, pos=None, ax=None, hold=None, **kwds):
"""Draw the graph G with matplotlib (pylab).
This is a pylab friendly function that will use the
current pylab figure axes (e.g. subplot).
pos is a dictionary keyed by vertex with a two-tuple
of x-y positions as the value.
See networkx.layout for functions that compute node positions.
Usage:
>>> from networkx import *
>>> G=dodecahedral_graph()
>>> draw(G)
>>> pos=graphviz_layout(G)
>>> draw(G,pos)
>>> draw(G,pos=spring_layout(G))
Also see doc/examples/draw_*
:Parameters:
- `nodelist`: list of nodes to be drawn (default=G.nodes())
- `edgelist`: list of edges to be drawn (default=G.edges())
- `node_size`: scalar or array of the same length as nodelist (default=300)
- `node_color`: single color string or numeric/numarray array of floats (default='r')
- `node_shape`: node shape (default='o'), or 'so^>v<dph8' see pylab.scatter
- `alpha`: transparency (default=1.0)
- `cmap`: colormap for mapping intensities (default=None)
- `vmin,vmax`: min and max for colormap scaling (default=None)
- `width`: line width of edges (default =1.0)
- `edge_color`: scalar or array (default='k')
- `edge_cmap`: colormap for edge intensities (default=None)
- `edge_vmin,edge_vmax`: min and max for colormap edge scaling (default=None)
- `style`: edge linestyle (default='solid') (solid|dashed|dotted,dashdot)
- `labels`: dictionary keyed by node of text labels (default=None)
- `font_size`: size for text labels (default=12)
- `font_color`: (default='k')
- `font_weight`: (default='normal')
- `font_family`: (default='sans-serif')
- `ax`: matplotlib axes instance
for more see pylab.scatter
NB: this has the same name as pylab.draw so beware when using
>>> from networkx import *
since you will overwrite the pylab.draw function.
A good alternative is to use
>>> import pylab as P
>>> import networkx as NX
>>> G=NX.dodecahedral_graph()
and then use
>>> NX.draw(G) # networkx draw()
and
>>> P.draw() # pylab draw()
"""
try:
import matplotlib.pylab as pylab
except ImportError:
raise ImportError, "Matplotlib required for draw()"
except RuntimeError:
pass # unable to open display
if pos is None:
pos=networkx.drawing.spring_layout(G) # default to spring layout
cf=pylab.gcf()
cf.set_facecolor('w')
if ax is None:
if cf._axstack() is None:
ax=cf.add_axes((0,0,1,1))
else:
ax=cf.gca()
# allow callers to override the hold state by passing hold=True|False
b = pylab.ishold()
h = kwds.pop('hold', None)
if h is not None:
pylab.hold(h)
try:
draw_networkx(G,pos,ax=ax,**kwds)
ax.set_axis_off()
pylab.draw_if_interactive()
except:
pylab.hold(b)
raise
pylab.hold(b)
return
