Error when updating conda packages: RemoveError: ‘setuptools’ is a dependency of conda
I think this issue in github may be related. This response mentions doing an update of conda using the force flag, which seemed … Read more
I think this issue in github may be related. This response mentions doing an update of conda using the force flag, which seemed … Read more
I’m not aware of any plotting method which takes arrays or lists but you could use annotate() while iterating over the values in … Read more
ax.title.set_text(‘My Plot Title’) seems to work too. fig = plt.figure() ax1 = fig.add_subplot(221) ax2 = fig.add_subplot(222) ax3 = fig.add_subplot(223) ax4 = fig.add_subplot(224) ax1.title.set_text(‘First … Read more
The standard way to add vertical lines that will cover your entire plot window without you having to specify their actual height is … Read more
The axis(‘off’) method resolves one of the problems more succinctly than separately changing each axis and border. It still leaves the white space … Read more
Please review matplotlib: Tight Layout guide and try using matplotlib.pyplot.tight_layout, or matplotlib.figure.Figure.tight_layout As a quick example: import matplotlib.pyplot as plt fig, axes = … Read more
You can use the Axes.set_yscale method. That allows you to change the scale after the Axes object is created. That would also allow … Read more
I think this would be best explained by the following picture: To initialize the above, one would type: import matplotlib.pyplot as plt fig … Read more
Get current axis via plt.gca(), and then set its limits: ax = plt.gca() ax.set_xlim([xmin, xmax]) ax.set_ylim([ymin, ymax])
You could explicitly set where you want to tick marks with plt.xticks: plt.xticks(np.arange(min(x), max(x)+1, 1.0)) For example, import numpy as np import matplotlib.pyplot … Read more