This will not change your font permanently, but it’s worth a try. matplotlib.rc(‘font’, family=’sans-serif’) matplotlib.rc(‘font’, serif=”Helvetica Neue”) matplotlib.rc(‘text’, usetex=’false’) matplotlib.rcParams.update({‘font.size’: 22})
Actually, what you’re wanting is quite simple… You just need to make sure that adjustable is set to ‘box’ on your axes, and you have a set aspect ratio for the axes (anything other than ‘auto’). You can either do this with the adjustable kwarg when you create the subplots. Alternatively, you can do this … Read more
fontweight is the argument for the fig.suptitle() function. So this should work for you, fig.suptitle(“Test”,fontweight=”bold”)
Plot bar plot twice: import matplotlib.pyplot as plt from matplotlib.patches import Ellipse, Polygon fig = plt.figure() ax1 = fig.add_subplot(111) # draw hatch ax1.bar(range(1, 5), range(1, 5), color=”none”, edgecolor=”red”, hatch=”https://stackoverflow.com/”, lw=1., zorder = 0) # draw edge ax1.bar(range(1, 5), range(1, 5), color=”none”, edgecolor=”k”, zorder=1, lw=2.) ax1.set_xticks([1.5, 2.5, 3.5, 4.5]) plt.show()
There are several ways to do this, and the simplest is to use the figure numbers. The code below makes two figures, #0 and #1, each with two lines. #0 has the points 1,2,3,4,5,6, and #2 has the points 10,20,30,40,50,60. from pylab import * figure(0) plot([1,2,3]) figure(1) plot([10, 20, 30]) figure(0) plot([4, 5, 6]) figure(1) … Read more
There is simple solution, use matplotlib.pyplot.show() function after plotting. this will display graph before executing next line of the code %matplotlib inline import matplotlib.pyplot as plt i = 0 for data in manydata: fig, ax = plt.subplots() print “data number i =”, i ax.hist(data) plt.show() # this will load image to console before executing next … Read more
You can do it by plotting your variable as a function of the “natural” variable that parametrizes your curve. For example: n = 12 a = np.arange(n) x = 2**a y = np.random.rand(n) fig = plt.figure(1, figsize=(7,7)) ax1 = fig.add_subplot(211) ax2 = fig.add_subplot(212) ax1.plot(x,y) ax1.xaxis.set_ticks(x) ax2.plot(a, y) #we plot y as a function of a, … Read more
This is a “bug” in older versions of matplotlib (and has been fixed for the 1.4 series). The issue is that in Axes.errorbar there is a default value of ‘-‘ for fmt, which is then passed to the call to plot which is used to draw the markers and line. Because a format string is … Read more
You can use a proxy mappable object since your surface array is not mapped. The mappable simply converts the values of any array to RGB colors defined by a colormap. In your case you want to do this with the z1 array: import matplotlib.cm as cm m = cm.ScalarMappable(cmap=cm.jet) m.set_array(z1) plt.colorbar(m)
You’ll have to provide a mapping to specify how to order the day names. (If they were stored as proper dates, there would be other ways to do this.) Updated: Build the key. You could write out a dictionary explicitly or use something clever like this dict comprehension. weekdays = [‘Mon’, ‘Tues’, ‘Weds’, ‘Thurs’, ‘Fri’, … Read more