![]() cmid Code: fig.updatecoloraxes (cmid) Type: number Sets the mid-point of the color domain by scaling cmin and/or cmax to be equidistant to this point. Value should have the same units as corresponding trace color array (s) and if set, cmin must be set as well. X_values = np. Sets the upper bound of the color domain. Here's a basic version of the command: In 2: fig, ax plt.subplots() ax.text(0.5, 0. The easiest way is to use the text command. ![]() That will not require you to fiddle with spacing where to display you y-labels).Īctually thinking a bit more about it - I think something like the following is more what you had in mind (I think I should stop now, as it inevitably shows that I am laughably inexperienced using matplotlib): import matplotlib.pyplot as plt Text can be added to the axes in several ways. This will result in the following chart (but there probably is a better way Plt.barh(y_axis, x_values, align='center') Use the xticks command: import matplotlib.pyplot as plt X-axis instead of the y-axis, that you want a horizontal bar-plot.Īdjusting the labels to print on the x-axis instead simply requires you to import matplotlib.pyplot as plt ax plt.subplot (111) pos1 ax.getposition () get the original position pos2 pos1.x0 + 0.3, pos1.y0 + 0.3, pos1.width / 2.0, pos1.height / 2.0 ax.setposition (pos2) set a new position You might also want to take a look at GridSpec if you haven't already. example xlabel (target,txt) adds the label to the specified target object. ![]() Reissuing the xlabel command replaces the old label with the new label. I am going to assume, that because you want to display the frequencies on Syntax xlabel (txt) xlabel (target,txt) xlabel ( ,Name,Value) t xlabel ( ) Description example xlabel (txt) labels the x -axis of the current axes or standalone visualization. ![]()
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