Specify limits as a two-element vector of the form xmin xmax, where xmax is greater than. 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. plot the chart fig, ax plt.subplots() ax.scatter(x, y, s30) Loop for annotation of all points for i in range(len(x)): plt.annotate(labeli. xlim( limits ) sets the x-axis limits for the current axes or chart. Useful when used together with scatter-like traces with cliponaxis set to. To set ylim (and other properties) for multiple subplots, use plt.setp. Determines whether or not the range of this axis is computed in relation to. Note that c should not be a single numeric RGB or RGBA sequence because that is indistinguishable from an array of values to be colormapped. A 2D array in which the rows are RGB or RGBA. Plt.plot(paramValues, plotDataPrice, color='#340B8C', marker='o', ms=5, mfc='#EB1717') A scalar or sequence of n numbers to be mapped to colors using cmap and norm. 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') Then again, ylim (and other properties) can be set in the plt.subplot instance as well. In fact a whole host of properties can be set via set(), such as ticks, ticklabels, labels, title etc.
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