from __future__ import print_function, division, absolute_import
# _plot_index = 0
[docs]
def plot(x, y, show=True, **kwargs):
""" Create a 2D scatter plot.
:param x: A numpy array describing the X datapoints. Should have the same number of rows as y.
:param y: A numpy array describing the Y datapoints. Should have the same number of rows as x.
:param tag: A tag so that all traces of the same type are plotted using same color/label (for e.g. multiple stochastic traces).
:param tags: Like tag, but for multiple traces.
:param name: The name of the trace.
:param label: The name of the trace.
:param names: Like name, but for multiple traces to appear in the legend.
:param labels: The name of the trace.
:param alpha: Floating point representing the opacity ranging from 0 (transparent) to 1 (opaque).
:param show: show=True (default) shows the plot, use show=False to plot multiple simulations in one plot
:param showlegend: Whether to show the legend or not.
:param mode: Can be set to 'markers' to generate scatter plots, or 'dash' for dashed lines.
::
import numpy as np, tellurium as te
result = np.array([[1,2,3,4], [7.2,6.5,8.8,10.5], [9.8, 6.5, 4.3,3.0]])
te.plot(result[:,0], result[:,1], name='Second column', show=False)
te.plot(result[:,0], result[:,2], name='Third column', show=False)
te.show(reset=False) # does not reset the plot after showing plot
te.plot(result[:,0], result[:,3], name='Fourth column', show=False)
te.show()
"""
from .. import getPlottingEngine
# global _plot_index
return getPlottingEngine().plot(x, y, show=show, **kwargs)
[docs]
def plot_text(x, y, text, show=True, **kwargs):
from .. import getPlottingEngine
from numpy import array
if len(x.shape) < 1:
x = array([x])
if len(y.shape) < 1:
y = array([y])
if not isinstance(text, list):
text = [text]
return getPlottingEngine().plot_text(x, y, text=text, show=show, **kwargs)
[docs]
def show(reset=True):
from .. import getPlottingEngine
return getPlottingEngine().show(reset=reset)
nextFigure.tiledFigure = None