There are several ways to do it. The subplots method creates the figure along with the subplots that are then stored in the ax array. For example: import matplotlib.pyplot as plt x = range(10) y = range(10) fig, ax = plt.subplots(nrows=2, ncols=2) for row in ax: for col in row: col.plot(x, y) plt.show() However, something … Read more
Placing the legend (bbox_to_anchor) A legend is positioned inside the bounding box of the axes using the loc argument to plt.legend. E.g. loc=”upper right” places the legend in the upper right corner of the bounding box, which by default extents from (0,0) to (1,1) in axes coordinates (or in bounding box notation (x0,y0, width, height)=(0,0,1,1)). … Read more
A more recent answer to the related question illustrates using the matplotlib.ticker.MultipleLocator object. The axis ticks are this type of matplotlib object. Here is an example of it’s use. ax.xaxis.set_major_locator(matplotlib.ticker.MultipleLocator(5)) will place ticks 5 units apart on the x-axis, and ax.xaxis.set_minor_locator(matplotlib.ticker.MultipleLocator(1)) will place minor ticks 1 unit apart on the x-axis. Here is an example … Read more
You are giving dictionary where a string or buffer was expected. You should check your code or debug around the line you get the Exception, check if all the functions that expect a string aren’t getting a dictionary instead. You probably forgot to index a dictionary.