![]() # cax_btm = fig.add_axes()Ĭbar_top = fig.colorbar(mtop, ax=ax_top, orientation='vertical', shrink=0.75, pad=0.2) #, cax=cax_top)Ĭbar_top.set_ticks(np.linspace(min(zz_top), max(zz_top), ncontours))Ĭbar_btm = fig.colorbar(mbtm, ax=ax_btm, orientation='vertical', shrink=0.75, pad=0.2) #, cax=cax_btm)Ĭbar_btm.set_ticks(np. Mbtm = cm.ScalarMappable(cmap=cmap, norm=norm_btm) Mtop = cm.ScalarMappable(cmap=cmap, norm=norm_top) Norm_btm = (vmin=min(zz_btm), vmax=max(zz_btm))Ĭmap = cm.get_cmap(cmap, ncontours) # number of colors on colorbar Norm_top = (vmin=min(zz_top), vmax=max(zz_top)) # normalize colors to minimum and maximum values of dataset # get full range of Z data as flat list for top and bottom rows Matplotlib has well documented methods of how to place multiple sets of axes in a figure window, but I cannot figure out how to define the position of one set of axes relative to the position of another set of axes. Plt.xlabel(r"x ($\theta_'.format(row, col))įhandle = ax.plot_surface(X, Y, Z, cmap=cmap) Here is my code: from _future_ import divisionįrom matplotlib.ticker import NullFormatter The only problem is, now the heights and widths of the two plots are uneven, and I can't figure out how to make it look okay. To get around this, I tried to create a third subplot which I then hacked to render no plot with just a colorbar present. What was happening was that when I called the colorbar() function in either subplot1 or subplot2, it would autoscale the plot such that the colorbar plus the plot would fit inside the 'subplot' bounding box, causing the two side-by-side plots to be two very different sizes. ![]() You will also need to change each plt.draw() to ()Īnd the plt.grid(True) should change to: ax1.I've spent entirely too long researching how to get two subplots to share the same y-axis with a single colorbar shared between the two in Matplotlib. Wline, = ax1.plot(w) # Sets up future lines to be modifiedĪnd then you can remove the following lines of code inside the for loop: ax1 = fig1.add_subplot(111) Then, they will show up on the correct figures. that is, i'd like to have a figure where there is a major enlarged ylabel that is meant to label the entire row of subplots and a main figure legend, rather than individual legends inside subplots. You could move the creation of the 4 subplot axes to before your loop, and then create the matplotlib line instances on their correct axes (using the object-oriented ax.plot instead of plt.plot). 1 hi all, i am trying to share both an axis label (but not the entire axis) and a figure legend across a set of subplots. When you create your 4 lines, they will all be created on the active figure (i.e. I am also printing the array that contains the data ("print sep") just to check if the data is there. Furthermore it is plotting all 4 sensors and the Y axes of the other subplots is also wrong (please see output screenshot). The data is acquired correctly and the the 4 figures are generated, however only the last one is plotting the data. t_xdata(np.arange(len(w))) # Sets wdata to new list length ![]() W.append(int(sep)) # Add new values as int to current list ![]() Sep = data.split() # Splits string into a list at the tabs ![]() Plt.ylim(0,64535) # Sets the y axis limits - 16 bits resolutionįor i in range(length): # While you are taking dataĭata = ser.readline() # Reads until it gets a carriage return (/n). Michael Droettboom and the Matplotlib development team 20122023 The Matplotlib development team. import numpy as np import matplotlib.pyplot as plt Create some fake data. Wline, = plt.plot(w) # Sets up future lines to be modified For more options, see Creating multiple subplots using plt.subplots. W = *length # Create empty variable of length of test Length = 20 # Determines length of data taking session (in data points) length/10 = seconds Ser = serial.Serial(comPort, 115200) # Sets up serial connection (make sure baud rate is correct - matches Arduino) I am reading data from 4 different sensors using serial communication and want to plot each sensor data in a separate plot. ![]()
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