![]() ![]() np.cos (T), np.sin (T), c 'k', lw 3.) plt.axes ().setaspect ('equal') plt. ax - a matplotlib axes object margin - the fraction of the total height of the y-data to pad the upper and lower ylims''' import numpy as np def getbottomtop (line): xd line.getxdata () yd. To accomplish this, we will need to play with the pyplot API and the Axes object, as shown in the following code: import numpy as np import matplotlib.pyplot as plt T np.linspace (0, 2 np.pi, 1024) plt.plot (2. 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. def autoscaley (ax,margin0.1): '''This function rescales the y-axis based on the data that is visible given the current xlim of the axis. ![]() To set ylim (and other properties) for multiple subplots, use plt.setp. rangex (list of two numbers) If provided, overrides auto-scaling on the x-axis in cartesian coordinates. It's suggested to plot np.log10 (z) instead of z with log scale. Plt.plot(paramValues, plotDataPrice, color='#340B8C', marker='o', ms=5, mfc='#EB1717') 1 Answer Sorted by: 6 This is possibly related to this issue. Useful when used together with scatter-like traces with cliponaxis set to. 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') Determines whether or not the range of this axis is computed in relation to. 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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