gwpy.plot
)¶The gwpy.plot
module provides integrated extensions to the fantastic
data visualisation tools provided by matplotlib
.
pyplot
¶Each of the data representations provided by gwpy
can be directly passed
to the standard methods available in pyplot
:
>>> from gwpy.timeseries import TimeSeries
>>> data = TimeSeries.fetch_open_data('L1', 1126259446, 1126259478)
>>> from matplotlib import pyplot as plt
>>> plt.plot(data)
>>> plt.show()
(png)
.plot()
instance methods¶Each of the data representations provided by gwpy
also come with a
.plot()
method that provides a figure with improved defaults tailored
to those data:
>>> from gwpy.timeseries import TimeSeries
>>> data = TimeSeries.fetch_open_data('L1', 1126259446, 1126259478)
>>> plot = data.plot()
>>> plot.show()
(png)
The .plot()
methods accept any keywords that can be used to create the
Figure
and the Axes
,
and to draw the element itself, e.g:
>>> from gwpy.timeseries import TimeSeries
>>> data = TimeSeries.fetch_open_data('L1', 1126259446, 1126259478)
>>> plot = data.plot(figsize=(8, 4.8), ylabel='Strain',
... color='gwpy:ligo-livingston')
>>> plot.show()
(png)
GWpy enables trivial generation of plots with multiple datasets.
The Plot
constructor will accept an arbitrary
collection of data objects and will build a figure with the required geometry
automatically.
By default, a flat set of objects are shown on the same axes:
>>> from gwpy.timeseries import TimeSeries
>>> hdata = TimeSeries.fetch_open_data('H1', 1126259446, 1126259478)
>>> ldata = TimeSeries.fetch_open_data('L1', 1126259446, 1126259478)
>>> from gwpy.plot import Plot
>>> plot = Plot(hdata, ldata, figsize=(12, 4.8))
>>> plot.show()
(png)
However, separate=True
can be given to show each dataset on a separate
Axes
:
>>> plot = Plot(hdata, ldata, figsize=(12, 6), separate=True, sharex=True)
>>> plot.show()
(png)
Warning
The Plot
constructor can only handle one plotting method at any time
(e.g. ax.plot()
, ax.imshow()
), so you can’t create plots with
a line and an image using this call,
for example.