From ggplot2 2.0.0 you can use the margin = argument of element_text() to change the distance between the axis title and the numbers. Set the values of the margin on top, right, bottom, and left side of the element. ggplot(mpg, aes(cty, hwy)) + geom_point()+ theme(axis.title.y = element_text(margin = margin(t = 0, r = 20, b … Read more
update: Copied material that was on the R wiki at http://rwiki.sciviews.org/doku.php?id=tips:graphics-base:2yaxes, link now broken: also available from the wayback machine Two different y axes on the same plot (some material originally by Daniel Rajdl 2006/03/31 15:26) Please note that there are very few situations where it is appropriate to use two different scales on the … Read more
Try the cex argument: ?par cex A numerical value giving the amount by which plotting text and symbols should be magnified relative to the default. Note that some graphics functions such as plot.default have an argument of this name which multiplies this graphical parameter, and some functions such as points accept a vector of values … Read more
There is charts4j which is a charts and graphs API. It enables developers to programmatically create the charts available in the Google Chart API through a straightforward and intuitive Java API. Disclaimer: I wrote charts4j. We will be doing another major release in the next few weeks.
The CRAN package latex2exp contains a TeX function that translate LaTeX formulas to R’s plotmath expressions. You can use it anywhere you could enter mathematical annotations, such as axis labels, legend labels, and general text. For example: x <- seq(0, 4, length.out=100) alpha <- 1:5 plot(x, xlim=c(0, 4), ylim=c(0, 10), xlab=’x’, ylab=TeX(r'($\alpha x^\alpha$, where $\alpha … Read more
Fully fleshed out example with arrows for only the red edges: import networkx as nx import matplotlib.pyplot as plt G = nx.DiGraph() G.add_edges_from( [(‘A’, ‘B’), (‘A’, ‘C’), (‘D’, ‘B’), (‘E’, ‘C’), (‘E’, ‘F’), (‘B’, ‘H’), (‘B’, ‘G’), (‘B’, ‘F’), (‘C’, ‘G’)]) val_map = {‘A’: 1.0, ‘D’: 0.5714285714285714, ‘H’: 0.0} values = [val_map.get(node, 0.25) for node … Read more
Update: See @divibisan’s answer for further possibilities in the latest versions of ggplot2. From ?scale_x_continuous about the expand-argument: Vector of range expansion constants used to add some padding around the data, to ensure that they are placed some distance away from the axes. The defaults are to expand the scale by 5% on each side … Read more
Use ax.xaxis.tick_top() to place the tick marks at the top of the image. The command ax.set_xlabel(‘X LABEL’) ax.xaxis.set_label_position(‘top’) affects the label, not the tick marks. import matplotlib.pyplot as plt import numpy as np column_labels = list(‘ABCD’) row_labels = list(‘WXYZ’) data = np.random.rand(4, 4) fig, ax = plt.subplots() heatmap = ax.pcolor(data, cmap=plt.cm.Blues) # put the major … Read more
You can use text. plt.text(x, y, s, fontsize=12) text coordinates can be given relative to the axis, so the position of your text will be independent of the size of the plot: The default transform specifies that text is in data coords, alternatively, you can specify text in axis coords (0,0 is lower-left and 1,1 … Read more
Every time you are creating plots you might get this error – “Error in plot.new() : figure margins too large“. To avoid such errors you can first check par(“mar”) output. You should be getting: [1] 5.1 4.1 4.1 2.1 To change that write: par(mar=c(1,1,1,1)) This should rectify the error. Or else you can change the … Read more