Is it possible to use Matplotlib markers in the axis ticks? For example, I want to achieve something, as shown below. I have three designs, and to identify them, I want to use the markers in the x-axis ticks.
Is there a particular reason to want to use matplotlib markers? Or is only the shape important?
You can use most unicode symbols:
pd.DataFrame({'value': [35,45,30]}, index=['★', '□', '◯']).plot.bar()
It also works for many (not all) LaTeX symbols:
pd.DataFrame({'value': [35,45,30]}, index=[r'$\star$', r'$\bigtriangleup$', r'$\bigcirc$']).plot.bar()
The advantage with the latter is that you can directly use LaTeX math symbols (actually any arbitrary text, including unicode symbols) as marker:
plt.plot([1,4,2,3,0], marker=r'$\bigtriangleup$', markersize=20)
plt.plot([0,1,4,2,3], marker='$\u26A1$', markersize=20)
Related
I am trying to create multiple graphs that share the same legend.
I have found many ways to combine multiple graphs and it seems that ggarrange has the ability to create one shared legend for all that is supposed to be unique.
However I am having some problems when graphing since a few of the graphs do not have the same phyla (what defines the legend colors) present, but I would like them all to be the same colors throughout all of the graphs so the combined legend will have the correct colors.
For just one graph I would assign a color to the label manually like below
labs<-c("Arthropoda"="#FF66CC"
,"Cercozoa"="#FF6000")
and plot with the addition of scale_fill_manual(values=labs) and this seems to work
then I modified it so I could have portions of them italicized.
labsPhylum <-c('expression(paste(italic("Arthropoda")))'="#CC0000"
,'expression(paste(italic("Cercozoa")))'= "#FF6000"
,'expression (paste("unknown", ~italic("Eukaryota")))'= "#990000")`
However when I create a plot using ggplot and scale_color_manual() using the labsPhylum that I think should be italicized and colored I plot an empty graph with this warning so there is something vital I am not understanding here.
ggplot(data=sigtab_dil, aes(x=Species, y=log2FoldChange, color=Phylum))+
geom_point(size=2) +
scale_color_manual(values=labsPhylum)
Warning message:
Removed 9 rows containing missing values (geom_point).
Could someone please help me figure out where I am going wrong?
Thank you
Answered my own question
I realized I had to make separate vectors for breaks, labels, and values rather than combining them.
In short
colsPhylum <-c("Arthropoda"="#CC0000"
,"Cercozoa"= "#FF6000"
,"Chlorophyta"= "#CC9900"
labsPhylum <-c(expression(paste(italic("Arthropoda")))
,expression(paste(italic("Cercozoa")))
,expression(paste(italic("Chlorophyta ")))
breaksPhylum <-c("Arthropoda", "Cercozoa","Chlorophyta", "Choanozoa"
,"Ciliophora"
,"Cryptista"
Let's say that I have two Raster objects (or any other Holoviews object really). I can easily visualize one with appropriate color scaling, and I can do a layout to get both figures with the same scaling and coloring. What if I want to do two figures (e.g. because I need them on different pages), but with the same coloring and scaling so that the figures are comparable.
If there's no way to do this automatically, is there any way to access the relevant settings and then feed them manually to the second figure?
If you're using a notebook: The %opts line magic : IPython specific syntax applied globally [string format]http://holoviews.org/user_guide/Customizing_Plots.html and I think hv.opts works globally in script.
For both backends, you can do hv.renderer('bokeh').get_plot(your_element_variable).state (or replace bokeh with matplotlib) and get the original bokeh/matplotlib items.
Then you can use matplotlib's plt.getp() or bokeh's attribute calling (as I've done here https://github.com/ahuang11/holoext/blob/master/holoext/xbokeh.py#L501-L508) to get the base item's color/font/labels/etc.
I would just like to make sure I am on the right track here as this seems to be pretty cumbersome for Matplotlib. I want to use a label as a marker on a plot and have it working to some degree. It uses mathtext BUT I wonder if there isn't another way to do it? Here is the code.
import matplotlib.pyplot as plt
x = []
y = []
symbol = "AAPL"
x = range(5)
y = [5,10,12,15,11]
plt.plot(x,y,lw=2.5,color='r',linestyle='solid',marker=r"$ {} $".format(symbol),markersize=25)
plt.show()
I am not 100% sure what you want, but below I have listed a couple of options that I am aware of for putting text into plots at specific locations (essentially what a marker is).
1) you can uses text/characters as markers through unicode. This is done by adding the unicode value within mathtext characters. E.g. take your example code; you can make the marker a unicode character by adding a 'u' before the string (unneeded in python 3) and then a '\u' and a 4 digit number. this will produce a unicode marker. Not all will work, as it depends on whether your system's font supports it. You can find a long list of them here: http://unicode-table.com/en/#latin-extended-a
plt.plot(x,y,lw=2.5,color='r',linestyle='solid',marker=u'$\u2609$',markersize=25)
\u2609 will produce a 'sun', i.e. a circle with a dot in its centre.
2) plt.text(...) using this function you can add text of your choice to the coordinate you specify.
http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.text
I believe the coordinate will correspond to the bottom left corner of the text box, but you can play around with it to make absolutely sure if you want. E.g.
plt.text(x,y,'string',fontsize=18)
However, this must be done on individual points and will not plot a line over the data; it does not work like 'plot' although you could always brute force a line over the top with a subsequent line plot. This method is more of a pain and hardly optimal but it will do the job and is quite flecible if you want a string for a marker.
A radical with an arbitrary base seems supported by latex without external libraries, but matplotlib's mathtext can't parse it. Is there anyway I can get matplotlib to display it?
Thanks.
This is a follow up to my post three weeks ago here How do I use m_map in octave, without really being a nuissance to kind and busy people. My problem is simply how does one overlay a basemap on an octave contour plot. After interpolating my irregularly spaced data (works for both contour lines and filled contours) I plot with the code:
contour(xi, yi, obsi, cstart:cstep:cend)
colorbar;
xlabel('Longitude'),ylabel('Latitude')
title('Mean Rain Onset')
saveas(gcf,'rainzam.pdf')
And I get
I have downloaded several map formats: ne_50m_admin_0_countries.zip, the apparently obsolete m_map (with associated tbase.Z, gshhg-bin-2.3.2.zip), soa.7z, world-bounds.7z, gshhg-gmt-2.3.2.tar.gz, dcw-gmt-1.1.1.tar.gz.
My question is has anyone used any of these maps in octave or gnuplot, and how to? I would appreciate any assistance.
Basically you have to load those maps in octave, they represent borders or coastlines with two variables (x,y) which you can then add to your plot with
hold on
plot(x,y)
That's the easy part, the hard part is to load the maps. All of them have different formats, which means it is a completely different story how to load them. For instance, the ne_50m_admin_0_countries.zip has a dbf format. Either you convert it first to ascii text and load it easily with the load function of octave or you need the OI package (http://wiki.octave.org/IO_package), which in turn demands java (http://wiki.octave.org/Java_package). I don't think this is the easy way for a newbie, so I suggest to convert the maps individually to text: google for "convert dbf to csv", "convert dbf to text", "convert dbf to ascii", etc... Perhaps some of those maps can be even loaded with excel and then saved as text (csv), the important issue is to convert them to text!
If you want to draw physical coastlines, you may download them from this link
https://www.naturalearthdata.com/downloads/
Then, after the drawing of a contour map of your own datas, you may add the coastlines using the following commands:
pkg load mapping
hold on
h = shapedraw ('FileName.shp','r','linewidth',1)