According to the documentation, you should be able to switch back and forth like this: In [2]: %matplotlib inline In [3]: plot(…) In [4]: %matplotlib qt # wx, gtk, osx, tk, empty uses default In [5]: plot(…) and that will pop up a regular plot window (a restart on the notebook may be necessary). I … Read more
If you want a histogram, you don’t need to attach any ‘names’ to x-values because: on x-axis you will have data bins on y-axis counts (by default) or frequencies (density=True) import matplotlib.pyplot as plt import numpy as np %matplotlib inline np.random.seed(42) x = np.random.normal(size=1000) plt.hist(x, density=True, bins=30) # density=False would make counts plt.ylabel(‘Probability’) plt.xlabel(‘Data’); Note, … Read more
Use the matplotlib savefig function with the keyword argument transparent=True to save the image as a png file. In [30]: x = np.linspace(0,6,31) In [31]: y = np.exp(-0.5*x) * np.sin(x) In [32]: plot(x, y, ‘bo-‘) Out[32]: [<matplotlib.lines.Line2D at 0x3f29750>] In [33]: savefig(‘demo.png’, transparent=True) Result: Of course, that plot doesn’t demonstrate the transparency. Here’s a screenshot … Read more
Global title: In newer releases of matplotlib one can use Figure.suptitle() method of Figure: import matplotlib.pyplot as plt fig = plt.gcf() fig.suptitle(“Title centered above all subplots”, fontsize=14) Alternatively (based on @Steven C. Howell’s comment below (thank you!)), use the matplotlib.pyplot.suptitle() function: import matplotlib.pyplot as plt # plot stuff # … plt.suptitle(“Title centered above all subplots”, … Read more
import matplotlib.pyplot as plt import numpy as np import scipy.stats as stats import math mu = 0 variance = 1 sigma = math.sqrt(variance) x = np.linspace(mu – 3*sigma, mu + 3*sigma, 100) plt.plot(x, stats.norm.pdf(x, mu, sigma)) plt.show()
This is a matplotlib question, and you can get around this by using a backend that doesn’t display to the user, e.g. ‘Agg’: import matplotlib matplotlib.use(‘Agg’) import matplotlib.pyplot as plt plt.plot([1,2,3]) plt.savefig(‘/tmp/test.png’) EDIT: If you don’t want to lose the ability to display plots, turn off Interactive Mode, and only call plt.show() when you are … Read more
Just use axes.get_ylim(), it is very similar to set_ylim. From the docs: get_ylim() Get the y-axis range [bottom, top]
You can use savefig() to export to an image file: plt.savefig(‘filename.png’) In addition, you can specify the dpi argument to some scalar value, for example: plt.savefig(‘filename.png’, dpi=300)
Given li in the question: li = list(zip(range(1, 14), range(14, 27))) To unpack the data from pairs into lists use zip: x, y = zip(*li) x → (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13) y → (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26) … Read more
If you are using Matplotlib and are trying to get good figures in a LaTeX document, save as an EPS. Specifically, try something like this after running the commands to plot the image: plt.savefig(‘destination_path.eps’, format=”eps”) I have found that EPS files work best and the dpi parameter is what really makes them look good in … Read more