In Matplotlib 2, using rcParams, I can set mathtext.fontset="cm" or mathtext.fontset="dejavusans" to control the font used in math-mode text in my figure. Is there a way so that within a single figure, I draw one text with one fontset, then a different text with a different fontset?
Related
I have multiple ytraces data in an xarray array.
data trace selection can be done by
t=s_xr_all.sel(trace_index=slice(0,2,1),xy='y')
# trace_index and xy are dimension names and above selects subset of 3 traces (lines) into t
t.name='t'
t.hvplot.line(x='point_index',y='t')
The above creates a line plot with a widget slider that allows scrolling through the lines with single line displayed at a time
I would like to be able to plot all lines without creating the slider widget.hvplot documentation is sparse as to how to do that
t.hvplot.line(x='point_index',y='t').overlay()
The .overlay() function chaining eliminates the slider creation and all the lines in the xarray are displayed
I'm working with TraMineR and I don't know how to arrange my plot. So basically what i would like to have the legend under the plot and to remove the space between the x and y axis. Any help is welcomed.
The plot:
Sample code:
seqdplot(Activities.seq, with.legend=FALSE)
legend("bottom", legend=attr(Activities.seq, "labels"),
fill=attr(Activities.seq, "cpal"),
inset=-.1, bty="o", xpd=NA, cex=.75,ncol=3)
The family of seqplot functions offers a series of arguments to control the legend as well as the axes. Look at the help page of seqplot (and of plot.stslist.statd for specific seqdplot parameters).
For instance, you can suppress the x-axis with axes=FALSE, and the y-axis with yaxis=FALSE.
To print the legend you can let seqdplot display it automatically using the default with.legend=TRUE option and control it with for examples cex.legend for the font size, ltext for the text. You can also use the ncol argument to set the number of columns in the legend.
The seqplot functions use by default layout to organize the graphic area between the plots and the legend. If you need more fine tuning (e.g. to change the default par(mar=c(5.1,4.1,4.1,2.1)) margins around the plot and the legend), you should create separately the plot(s) and the legend and then organize them yourself using e.g. layout or par(mfrow=...). In that case, the separate graphics should be created by setting with.legend=FALSE, which prevents the display of the legend and disables the automatic use of layout.
The color legend is easiest obtained with seqlegend.
I illustrate with the mvad data that ships with TraMineR. First the default plot with the legend. Note the use of border=NA to suppress the too many vertical black lines.
library(TraMineR)
data(mvad)
mvad.scode <- c("EM", "FE", "HE", "JL", "SC", "TR")
mvad.seq <- seqdef(mvad, 17:86,
states = mvad.scode,
xtstep = 6)
# Default plot with the legend,
seqdplot(mvad.seq, border=NA)
Now, we suppress the x and y axes and modify the display of the legend
seqdplot(mvad.seq, border=NA,
axes=FALSE, yaxis=FALSE, ylab="",
cex.legend=1.3, ncol=6, legend.prop=.11)
Here is how you can control the space between the plot and the x and y axes
seqdplot(mvad.seq, border=NA, yaxis=FALSE, xaxis=FALSE, with.legend=FALSE)
axis(2, line=-1)
axis(1, line=0)
Creating the legend separately and reducing the left, top, and right margins around the legend
op <- par(mar=c(5.1,0.1,0.1,0.1))
seqlegend(mvad.seq, ncol=2, cex=2)
par(op)
I would like to have charts without axis lines, and in general without the overall box of which the two axes are only a symmetrical half. This should work to emphasize values that overlap with the border, and also make things more aesthetic as in some seaborn and ggplot examples out there.
Can this be accomplished?
You could color the axes spines in white, so they are not visible on white background.
For example:
ax.spines['bottom'].set_color('white')
ax.spines['top'].set_color('white')
ax.spines['right'].set_color('white')
ax.spines['left'].set_color('white')
Not sure exactly what you want to achieve, but if you need to get rid of the bounding box in all you figures you can modify default matplotlib parameters (like the seaborn does):
import matplotlib.pyplot as plt
plt.rc('axes.spines', **{'bottom':True, 'left':True, 'right':False, 'top':False})
this will leave only the bottom and left part of the bounding box (you can remove everything by putting False everywhere). In this case you get something like this
Data area is controlled by the Spine class and you can do more with it if you'd like:
spines_api
spines_demo
I would like to create two boxplots to visualize different attributes within my data by splitting the attributes up based on their scale. I currently have this
box plots to show the distributions of attributes
sns.boxplot(data=df)
box plot with all attributes included
I would like it to be like the images below with the attributes in different box plots based on their scale but with the attribute labels below each boxplot (not the current integers).
box plots to show the distributions of attributes
sns.boxplot(data=[df['mi'],df['steps'],df['Standing time'],df['lying time']])
box plot by scale 1
You can subset a pandas DataFrame by indexing with a list of column names
sns.boxplot(data=df[['mi', 'steps', 'Standing time', 'lying time']])
I'm writing a script that saves a figure with multiple formatting styles among which is the font size of legend text.
The legend.labelspacing in rcparams or the matplotlibrc file specifies the label spacing in fractions of the font size, so I might expect the actual spacing to change if the font size is changed. However, since the actual spacing is probably calculated when the legend is first created, any subsequent change to the font size of existing legend text objects has no effect on the label spacing. Is there a way to update the legend label spacing after an existing legend label object's font size has been changed? In summary here's is what I would like to do:
plot something with a legend
save the figure (format according to rcparams or matplotlibrc file)
change several formatting properties (line widths, font sizes, etc.)
save the figure again with the updated formatting properties, including re-adjusted legend label spacing
Is there a way to do this without changing the rcparams and then rebuilding the figure?
Just call legend() with labelspacing parameter, here is an example:
import pylab as pl
pl.plot([0,1],[0,1], label="a")
pl.plot([0,2],[0,2], label="b")
pl.legend()
pl.savefig("p1.png")
pl.legend(labelspacing=2)
pl.savefig("p2.png")
To reuse parameters:
import pylab as pl
pl.plot([0,1],[0,1], label="a")
pl.plot([0,2],[0,2], label="b")
params = dict(loc="right", prop=dict(size=9))
pl.legend(**params)
pl.savefig("p1.png")
params["labelspacing"] = 2
pl.legend(**params)
pl.savefig("p2.png")