Rolling update of features / bug fixes
1. Vector polar plots#
Vector polar plots introduced. Use the pts option to vect when doing a stereographic polar vector plot to interpolate the grid to be uniformly spaced when viewed.
2. Change documentation web page location#
3. Add orography / bathymetry colour scales#
4. Change cfplot to cf-plot#
Package renamed to cf-plot to fit in with cf-python and cf-view.
5. Change web docs to github#
Web documents location changed to http://ajheaps.github.io/cf-plot. setup.py etc references changed accordingly.
6. Add plot spacing options to gopen#
Add hspace and wspace plot spacing options to gopen.
7. lineplot - -assing non-CF data#
Add options so that passing of non-CF data to lineplot works.
8. vect - turn off vector key#
Add show_key option to vect to allow turning off of vector key.
9. cscale - colour maps not referenced correctly when doing a local install#
pip install --user cf-plot
Doesn't allow changing of colour maps.
10. lineplot - add axis labelling that overrides any CF information#
Add axis labelling that overrides any CF information in lineplot.
11. gclose - plots not closed properly#
Add plot.close() to gclose routine to properly close each plot when it is finished.
12. levs - change in floating point levels calculation#
Floating point levels were calculated using numpy.arange and this can sometimes give stange contour levels. For example,
np.arange(-0.2,0.2,0.04)
array([ -2.00000000e-01, -1.60000000e-01, -1.20000000e-01,
-8.00000000e-02, -4.00000000e-02, 2.77555756e-17,
4.00000000e-02, 8.00000000e-02, 1.20000000e-01,
1.60000000e-01])
Using np.linspace(-0.2,0.2,11) gives a much neater set of levels and the floating point calculation of levels was changed to adopt this method.
13. levs - cfp.levs() fails to reset colorbar extensions#
cfp.levs() failed to reset colorbar extensions.
14. Change of name for some colour scales#
Colour scales with plus and minus in them cause issues in cfview. These colour scales have been renamed with the plus and minus changed to an underscore.
15. con - negative_linestyle and zero_thick issues#
Recent changes in the 1.5.x version of Matplotlib causes issues with the con routine negative_linestyle and zero_thick options. con was changed to the new Matplotlib way of doing these.
16. con - xlog / log specification#
Amended the xlog and ylog specification so that it now accpets True as well as 1 to give a log plot.
17. con, vect added axis labelling commands#
Added xticks, xticklabels, yticks, yticklabels, xlabel, ylabel to con and vect to control axis labelling. Also added axis, axis, yaxis to control whether axes are plotted.
18. con - bug in color scheme#
When turning off a colorbar with colorbar=None in the con routine the extension colors were then out of alignment.
19. vect - added vertical log scale#
Added optional vertical log scale to the vect routine.
20. con - added time vs height plots#
Added time vs height plots.
21. colour scales - adjust name#
One of the colour scales had an incorrect extension and this caused an issue in cf-view.
22. Plot blocking resolved#
If the display command from ImageMagick is available this is now used in conjunction with subprocess in preference to build-in Matplotlib viewer. This gets around the problem of a plot blocking the command prompt preventing further plots from being made. Using cfp.setvars(viewer='matplotlib') will revert to using the built-in matplotlib picture viewer.
23. timeaxis routine introduced#
The timeaxis routine takes a time axis and returns a sensible set of tick positions and labels. This is an internal routine that is used in Hovmuller and graph plots.
24. Multiple hovmuller plot calls produce incorrect pictures#
Subsequent plots after the first hovmuller plot call produce incorrect pictures.
25. Added time axis options to setvars#
Added time axis tick marks and labelling options to setvars. Once set these plot options are used for all subsequent time axes.
tspace_year=None - time axis spacing in years
tspace_month=None - time axis spacing in months
tspace_day=None - time axis spacing in days
tspace_hour=None - time axis spacing in hours
26. Time axes bugfix#
Bugfix for an issue in time axes.
27. Add axis label and alignment options to setvars#
Add axis label and alignment options to setvars:
xtick_label_rotation=0 - rotation of xtick labels
xtick_label_align='center' - alignment of xtick labels
ytick_label_rotation=0 - rotation of ytick labels
ytick_label_align='right' - alignment of ytick labels
28. Bugfix in gset#
Bugfix in gset for recent time axis changes.
29. Bug in lineplot#
Lineplot is now more logical and takes a CF-field (f) as the base use. The other use is not to pass f but to have x=x and y=y. This allows x vs y plots and y vs x plots.
30. con - filled contours and irregular contour levels#
Selecting irregular contour levels with cfp.levs(manual=manual) and filled contours gives a slight colour scale mismatch. This was resolved by calculating a normalization array: plotvars.norm=matplotlib.colors.BoundaryNorm(boundaries=plotvars.levels, ncolors=ncolors)
31. con - blockfill plots#
Slight bug in blockfill colours at the top end of the drawn colours.
32. setvars / lineplot - legend text size and weight#
Two new options were added to cfp.setvars to change the font size and weight for the legend in lineplot:
legend_text_size=None - legend text size legend_text_weight=None - legend text weight
33. levs - changed level generation scheme#
The level generation scheme in levs when the user passes min, max, step has been changed. It is now using Neil Massey's scheme:
If min, max, step are integers: levs = ((((np.arange(min, max+step*1e-10, step, dtype=np.float64)*1e10)).astype(np.int64)).astype(np.float64)/1e10).astype(np.int)
else: levs = (((np.arange(min, max+step*1e-10, step, dtype=np.float64)*1e10)).astype(np.int64)).astype(np.float64)/1e10
34. gvals - changed scheme for step >= 1#
gvals changed to use more sensible steps when step >= 1.
steps are now 1, 2, 5, 10, 20, 25, 50, 100, 200, 250, 500, 1000, 2000, 2500, 5000, 10000, 20000, 25000, 50000, 100000, 200000, 250000, 500000, 1000000.
If the number of steps from the above in (data max - data min) is greater than 12 then this step is used.