act.plotting.TimeSeriesDisplay

class act.plotting.TimeSeriesDisplay(obj, subplot_shape=(1,), ds_name=None, **kwargs)[source]

This subclass contains routines that are specific to plotting time series plots from data. It is inherited from Display and therefore contains all of Display’s attributes and methods.

Examples

To create a TimeSeriesDisplay with 3 rows, simply do:

ds = act.read_netcdf(the_file)
disp = act.plotting.TimeSeriesDisplay(ds, subplot_shape=(3,), figsize=(15, 5))

The TimeSeriesDisplay constructor takes in the same keyword arguments as plt.subplots. For more information on the plt.subplots keyword arguments, see the matplotlib documentation. If no subplot_shape is provided, then no figure or axis will be created until add_subplots or plots is called.

add_colorbar(mappable[, title, ...])

Adds a colorbar to the plot.

add_subplots([subplot_shape, subplot_kw])

Adds subplots to the Display object.

assign_to_figure_axis(fig, ax)

This assigns the Display to a specific figure and axis.

day_night_background([dsname, subplot_index])

Colorcodes the background according to sunrise/sunset.

fill_between(field[, dsname, subplot_index, ...])

Makes a fill_between plot, based on matplotlib

plot(field[, dsname, subplot_index, cmap, ...])

Makes a timeseries plot.

plot_barbs_from_spd_dir(speed_field, ...[, ...])

This procedure will make a wind barb plot timeseries.

plot_barbs_from_u_v(u_field, v_field[, ...])

This function will plot a wind barb timeseries from u and v wind data.

plot_time_height_xsection_from_1d_data(...)

This will plot a time-height cross section from 1D datasets using nearest neighbor interpolation on a regular time by height grid.

put_display_in_subplot(display, subplot_index)

This will place a Display object into a specific subplot.

qc_flag_block_plot([data_field, dsname, ...])

Create a time series plot of embedded quality control values using broken barh plotting.

set_xrng(xrng[, subplot_index])

Sets the x range of the plot.

set_yrng(yrng[, subplot_index])

Sets the y range of the plot.

time_height_scatter([data_field, dsname, ...])

Create a time series plot of altitude and data variable with color also indicating value with a color bar.