Plotting#
- class Plotting(ml)[source]#
Class that contains all plotting methods for Pastas models.
Pastas models come with a number of predefined plotting methods to quickly visualize a Model. All of these methods are contained in the plot attribute of a model. For example, if we stored a
pastas.model.Model
instance in the variable ml, the plot methods are available as follows:>>> ml.plots.results()
- Parameters:
ml (Model) –
Methods#
Plot the block response for a specific stressmodels. |
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Make a pie chart of the contributions. |
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Plot the cumulative frequency for the observations and simulation. |
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Plot the decomposition of a time-series in the different stresses. |
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Plot a window that helps in diagnosing basic model assumptions. |
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Make a plot of the observed and simulated series. |
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Plot different results in one window to get a quick overview. |
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Method to plot all the time series going into a Pastas Model. |
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Create a results plot, similar to ml.plots.results(), in which the individual contributions of stresses (in stressmodels with multiple stresses) are stacked. |
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Plot the step response for a specific stressmodels. |
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This method creates a graph with all the stresses used in the model. |
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Create a PDF file (A4) with the results and diagnostics plot. |