axis-labels

I am looking to flip the labels on a faceted panel of 1 row and 5 columns, so that the facet headers appear on bottom, and the x axis appears on top of facets. The reason is that I want to reuse those headers for a table that will be directly below the graph. So in this example... library(ggplot2) my.hist<-ggplot(diamonds, aes(clarity)) + geom_bar() my.hist + facet_wrap( ~ cut, ncol=5) + coord_flip() I would want the "cut" labels to show up below the chart. I was thinking that facet_grid might hold the key, but is only a guess. Anyone know how to accomplish this? Getting the facet strips below

This question relates generally to a previous SO question concerning the creation of minor tick marks on a ggplot2 axis and specifically to a comment in the answer to that question suggesting a function to insert blanks into a sequence may prove useful. As I frequently add minor tick marks to similar plots, I took a stab at creating such a function (see my answer below). The following function allows the user to request that every n th element nth of a vector x either be (1) replaced with a empty character placeholder ( empty = TRUE ; default) or (2) omitted from the vector ( empty = FALSE ).

This question already has an answer here: Subscript letters in ggplot axis label 2 answers I need an axis label in ggplot2 which reads "Assimilation (μmol CO2 m-2 s-1)" with the 2 of CO2 as subscript and the -2 and -1 as superscript. Thanks. You could try library(ggplot2) qplot(uptake, data = CO2) + xlab(bquote('Assimilation ('*mu~ 'mol' ~CO[2]~ m^-2~s^-1*')')) 来源： https://stackoverflow.com/questions/27445452/superscript-and-subscript-axis-labels-in-ggplot2

I have a dataset with around 200 observations which I would like to plot as a heatmap. Each observation has a string associated with it which I would like to display. My problem is that I cannot read these labels since they overlap each other. My question is therefore, whether one can somehow set the cell size of the heatmap to the font size of the yticklabel or whether there is any other workaround for that. In my example below, I use random data for illustration purposes: import seaborn as sns import numpy as np data = np.random.rand(200, 10) ax = sns.heatmap(data) for item in ax.get

Is there a way to increase the padding/offset of the polar plot tick labels (theta)? import matplotlib import numpy as np from matplotlib.pyplot import figure, show, grid # make a square figure fig = figure(figsize=(2, 2)) ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True, axisbg='#d5de9c') ax.set_yticklabels([]) r = np.arange(0, 3.0, 0.01) theta = 2*np.pi*r ax.plot(theta, r, color='#ee8d18', lw=3) ax.set_rmax(2.0) show() I'd like to have theta tick labels further away from the polar plot so they don't overlap. First of all; seeing as how you have specified the figsize to be (2,2) and having

Here is my problem: polyfit does not take datetime values, so that I converted datetime with mktime producing the polynomial fit works z4 = polyfit(d, y, 3) p4 = poly1d(z4) For the plot however, I would like the datetime description on the axis and didn't # figure out how to do that. Can you help me? fig = plt.figure(1) cx= fig.add_subplot(111) xx = linspace(0, d[3], 100) pylab.plot(d, y, '+', xx, p4(xx),'-g') cx.plot(d, y,'+', color= 'b', label='blub') plt.errorbar(d, y, yerr, marker='.', color='k', ecolor='b', markerfacecolor='b', label="series 1", capsize=0, linestyle='') cx.grid() cx.set