![]() I think the most elegant way is that suggesyted by. E.g.: import matplotlib.pyplot ( 1,2,3, 4,5,6,color 'red','green','blue') When you have a list of lists and you want them colored per list. For example, if we include 2 more subplots to OP's code and if we want to set the same properties to all of them, one way to do it would be as follows: import matplotlib.pyplot as pltĪPlot = plt. The normal way to plot plots with points in different colors in matplotlib is to pass a list of colors as a parameter. To set ylim (and other properties) for multiple subplots, use plt.setp. Plt.plot(paramValues, plotDataPrice, color='#340B8C', marker='o', ms=5, mfc='#EB1717') You can use the following syntax to add a legend to a scatterplot in Matplotlib: import matplotlib.pyplot as plt from lors import ListedColormap define values, classes, and colors to map values 0, 0, 1, 2, 2, 2 classes 'A', 'B', 'C' colors ListedColormap ( 'red', 'blue', 'purple') create scatterplot scatter plt. ![]() For the case in the OP, that would be aPlot = plt.subplot(321, facecolor='w', title="Year 1", ylim=(20,250), xticks=paramValues, ylabel='Average Price', xlabel='Mark-up') Python, Machine Learning and Open Science are special areas of interest to me. Then again, ylim (and other properties) can be set in the plt.subplot instance as well. Example 1: Python3 import matplotlib.pyplot as plt x 1,2,3,4,5 y1 2,4,6,8,10 y2 3,6,9,12,15 plt.scatter (x, y1) plt.scatter (x,y2) plt.legend ( 'x2', 'x3') plt.show () Output: Example 2: Python3 import matplotlib.pyplot as plt x 1,2,3,4,5 y1 2,4,6,8,10 y2 3,6,9,12,15 plt.scatter (x, y1) plt. Below are two proxy objects, scatterproxy and lineproxy, for the scatter plot and line plot, respectively. When stacking in one direction only, the returned axs is a 1D numpy array containing the list of created Axes. For example: ax.plot( 1, 2, 3) ax.plot( 5, 6, 7) ax.legend( 'First line', 'Second line') Parameters: handlessequence of Artist, optional A list of Artists (lines, patches) to be added to the legend. The first two optional arguments of pyplot.subplots define the number of rows and columns of the subplot grid. What you can do, instead, is create some different objects ( known as proxy artists) to fill the gap, so to speak. To make a legend for all artists on an Axes, call this function with an iterable of strings, one for each legend item. ![]() We will use the () method to describe and label the elements of the graph and distinguishing different plots from the same graph. In fact a whole host of properties can be set via set(), such as ticks, ticklabels, labels, title etc. 2 Answers Sorted by: 2 The issue is that you can't pass the Line objects directly to the legend call. In this article, we are going to add a legend to the depicted images using matplotlib module. ![]()
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