Nice predefined plots using matplotlib
A class for making movie using matplotlib
Methods
Sublplot class containing axes matplotlib instances
Methods
See matplotlib.axes.Axes.grid method in matplotlib documentation
See matplotlib.axes.Axes.legend method in matplotlib documentation
Make nice ticklabels for the latitude axis
Parameters: | lat : 1darray
axis : optional, {‘x’, ‘y’}
**kwargs : optional, keyword arguments |
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Make nice ticklabels for the longitude axis
Parameters: | lon : 1darray
axis : optional, {‘x’, ‘y’}
**kwargs : optional, keyword arguments |
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Plot the probability density function associated with the input variable
Parameters: | x : array_like bins : int, optional normed : bool, optional weights : array_like, optional cumulative: bool, optional |
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See matplotlib.axes.Axes.plot method in matplotlib documentation
Make a scatter plot of x vs y, where x and y are sequence like objects of the same lengths.
See matplotlib.axes.Axes.scatter method in matplotlib documentation.
Set the title of the subplot.
See matplotlib.axes.Axes.set_title method in matplotlib documentation.
See matplotlib.axes.Axes.set_xlabel method in matplotlib documentation
See matplotlib.axes.Axes.set_xticklabels method in matplotlib documentation
See matplotlib.axes.Axes.set_xticks method in matplotlib documentation
See matplotlib.axes.Axes.set_yticklabels method in matplotlib documentation
See matplotlib.axes.Axes.set_yticks method in matplotlib documentation
Define a nice spectrum with twin x-axis and twin y-axis, one with frequencies, the other one with periods, on a predefined axis object.
Parameters: | x,y : array_like
z : array_like
xlog, ylog, zlog : bool, optional
**** kwargs** : optional keyword arguments
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Define a nice spectrum with twin x-axis, one with frequencies, the other one with periods, on a predefined axis object ** kwargs : optional keyword arguments
See the plot method in matplotlib documentation
Create a time-longitude plot (Hovmueller)
Parameters: | lon : 1d array
time : 1d array
value : 2d array
**** kwargs** : optional keyword arguments
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