Plt.ylabel(r'$\delta V_$ Apo wild-type mHCN2 (mV)')Īx2.set_title('Electrostatic Potential Calculations - Holo mHCN2 Channel')įor i, txt in enumerate(custom_annotations):Īx1.annotate(txt, (data1, data1))Īx2. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc. Plt.scatter(data, data, marker='o', c=data, edgecolors='black', linewidths=1, alpha=0.75) matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Here is the code to generate one plot: import matplotlib.pyplot as pltĬustom_annotations = import matplotlib.pyplot as plt import numpy as np Fixing random state for reproducibility np.ed(19680801) plt.subplot(211) plt.imshow(np.random.random( (100, 100))) plt.subplot(212) plt.imshow(np.random.random( (100, 100))) plt.subplotsadjust(bottom0.1, right0.8, top0.9) cax plt.axes( 0.85, 0.1, 0.075, 0.8) plt.colorbar(caxc. Example Draw 2 plots on top of each other: import matplotlib.pyplot as plt import numpy as np plot 1: x np.array ( 0, 1, 2, 3) y np.array ( 3, 8, 1, 10) plt. The coordinate system is determined by textcoords. pi t) Plot a line and add some simple annotations line, ax. xytext(float, float), default: xy The position (x, y) to place the text at. Create our figure and data well use for plotting fig, ax plt. The coordinate system is determined by xycoords. from matplotlib import pyplot as plt plt.rcParams'figure.figsize' 7.50, 3.50 plt.rcParams'tolayout' True fig, axes plt.subplots(2) x np.linspace(-2, 2, 10) ot(x) ot(x, 2x) for ax in axes: ax.annotate('Straight Line', xy (1, 0),xycoords'axes fraction', fontsize10, horizontalalignment'right', vertic. xy(float, float) The point (x, y) to annotate. The pyplot version returns both the Figure object and an array of Axes. pyplot.subplots: add a grid of Axes as in the example above. fig.addaxes ( 0, makes an Axes that fills the whole figure. This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call. however, my dataset is somehow complex, meaning for each x value, there are 2-3 corresponding y values, so I created an array for that. Parameters: textstr The text of the annotation. There are a number of other methods for adding Axes to a Figure: Figure.addaxes: manually position an Axes. I try to generate two scatterplots (side by side), and the code for that in matplotlib is quite straightforward and self-explanatory.
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