The pyplot functions you are calling, axhline() and axvline() draw lines that span a portion of the axis range, regardless of coordinates. The parameters xmin or ymin use value 0.0 as the minimum of the axis and 1.0 as the maximum of the axis. Instead, use plt.plot((x1, x2), (y1, y2), ‘k-‘) to draw a line … Read more
Here is my approach that you may try: import numpy as np import matplotlib.pyplot as plt w = 10 h = 10 fig = plt.figure(figsize=(8, 8)) columns = 4 rows = 5 for i in range(1, columns*rows +1): img = np.random.randint(10, size=(h,w)) fig.add_subplot(rows, columns, i) plt.imshow(img) plt.show() The resulting image: (Original answer date: Oct 7 … Read more
You can directly plot the lines you want by feeding the plot command with the corresponding data (boundaries of the segments): plot([x1, x2], [y1, y2], color=”k”, linestyle=”-“, linewidth=2) (of course you can choose the color, line width, line style, etc.) From your example: import numpy as np import matplotlib.pyplot as plt np.random.seed(5) x = np.arange(1, … Read more
I usually use the second one of these: from matplotlib.pyplot import cm import numpy as np #variable n below should be number of curves to plot #version 1: color = cm.rainbow(np.linspace(0, 1, n)) for i, c in zip(range(n), color): plt.plot(x, y, c=c) #or version 2: color = iter(cm.rainbow(np.linspace(0, 1, n))) for i in range(n): c … 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
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
I had a problem with the answer by @mwaskorn, namely that g.set_xticklabels(rotation=30) fails, because this also requires the labels. A bit easier than the answer by @Aman is to just add plt.xticks(rotation=45)
As of matplotlib v1.4.0rc4, a remove method has been added to the legend object. Usage: ax.get_legend().remove() or legend = ax.legend(…) … legend.remove() See here for the commit where this was introduced.
This can be a somewhat confusing way of defining the size but you are basically specifying the area of the marker. This means, to double the width (or height) of the marker you need to increase s by a factor of 4. [because A = WH => (2W)(2H)=4A] There is a reason, however, that the … Read more