Options

pytplot.options(name, option=None, value=None, opt_dict=None)

This function allows the user to set a large variety of options for individual plots.

Parameters:

• name – str Name or number of the tplot variable
• option – str The name of the option. See section below.
• value – str/int/float/list The value of the option. See section below.
• dict – dict This can be a dictionary of option:value pairs. Option and value will not be needed if this dictionary item is supplied.

Options:

Options	Value type	Notes
Color	str/list	red, green, blue, etc. Also takes in RGB tuples, i.e. (0,255,0) for green
Colormap	str/list	https://matplotlib.org/examples/color/colormaps_reference.html.
Spec	int	1 sets the Tplot Variable to spectrogram mode, 0 reverts.
Alt	int	1 sets the Tplot Variable to altitude plot mode, 0 reverts.
Map	int	1 sets the Tplot Variable to latitude/longitude mode, 0 reverts.
link	list	Allows a user to reference one tplot variable to another.
ylog	int	1 sets the y axis to log scale, 0 reverts.
zlog	int	1 sets the z axis to log scale, 0 reverts (spectrograms only).
legend_names	list	A list of strings that will be used to identify the lines.
xlog_slice	bool	Sets x axis on slice plot to log scale if True.
ylog	bool	Set y axis on main plot window to log scale if True.
ylog_slice	bool	Sets y axis on slice plot to log scale if True.
zlog	bool	Sets z axis on main plot window to log scale if True.
line_style	str	scatter (to make scatter plots), or solid_line, dot, dash, dash_dot, dash_dot_dot_dot, long_dash.
char_size	int	Defines character size for plot labels, etc.
name	str	The title of the plot.
panel_size	flt	Number between (0,1], representing the percent size of the plot.
basemap	str	Full path and name of a background image for “Map” plots.
alpha	flt	Number between [0,1], gives the transparency of the plot lines.
thick	flt	Sets plot line width.
yrange	flt list	Two numbers that give the y axis range of the plot.
zrange	flt list	Two numbers that give the z axis range of the plot.
xrange_slice	flt list	Two numbers that give the x axis range of spectrogram slicing plots.
yrange_slice	flt list	Two numbers that give the y axis range of spectrogram slicing plots.
ytitle	str	Title shown on the y axis. Use backslash for new lines.
ztitle	str	Title shown on the z axis. Spec plots only. Use backslash for new lines.
ysubtitle	str	Subtitle shown on the y axis.
zsubtitle	str	Subtitle shown on the z axis. Spec plots only.
plotter	str	Allows a user to implement their own plotting script in place of the ones herein.
crosshair_x	str	Title for x-axis crosshair.
crosshair_y	str	Title for y-axis crosshair.
crosshair_z	str	Title for z-axis crosshair.
static	str	Datetime string that gives desired time to plot y and z values from a spec plot.
static_tavg	str	Datetime string that gives desired time-averaged y and z values to plot from a spec plot.
t_average	int	Seconds around which the cursor is averaged when hovering over spectrogram plots.
spec_plot_dim	int/str	If variable has more than two dimensions, this sets which dimension the v variable will display on the y axis in spectrogram plots. All other dimensions are summed into this one, unless “spec_slices_to_use” is also set for this variable.
spec_dim_to_plot	int/str	Same as spec_plot_dim, just with a slightly more descriptive name
spec_slices_to_use	str	Must be a dictionary of coordinate:values. If a variable has more than two dimensions, spectrogram plots will plot values at that particular slice of that dimension. See examples for how it works.
border	bool	Turns on or off the top/right axes that would create a box around the plot
var_label_ticks	int	Sets the number of ticks if this variable is displayed as an alternative x axis

Returns:None

Examples

>>> # Change the y range of Variable1
>>> import pytplot
>>> x_data = [1,2,3,4,5]
>>> y_data = [1,2,3,4,5]
>>> pytplot.store_data("Variable1", data={'x':x_data, 'y':y_data})
>>> pytplot.options('Variable1', 'yrange', [2,4])

>>> # Change Variable1 to use a log scale
>>> pytplot.options('Variable1', 'ylog', 1)

>>> # Set the spectrogram plots to show dimension 'v2' at slice 'v1' = 0
>>> pytplot.options("Variable2", "spec_dim_to_plot", 'v2')
>>> pytplot.options("Variable2", "spec_slices_to_use", {'v1': 0})