Scatter plot with different text at each data point
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
matplotlib
How to add a title to each subplot
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
How to draw vertical lines on a given plot
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
How to remove axis, legends, and white padding
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
Improve subplot size/spacing with many subplots
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
Plot logarithmic axes
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
What does the argument mean in fig.add_subplot(111)?
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
How to set the y-axis limit
Get current axis via plt.gca(), and then set its limits: ax = plt.gca() ax.set_xlim([xmin, xmax]) ax.set_ylim([ymin, ymax])
Changing the tick frequency on the x or y axis
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
How do I set the figure title and axes labels font size?
Functions dealing with text like label, title, etc. accept parameters same as matplotlib.text.Text. For the font size you can use size/fontsize: from matplotlib … Read more
