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I want to plot a graph with one logarithmic axis using matplotlib. Sample program: import matplotlib.pyplot as plt a = [pow(10, i) for i in range(10)] # exponential fig = plt.figure() ax = fig.add_subplot(2, 1, 1) line, = ax.plot(a, color='blue', lw=2) plt.show()
1 Ιαν 2021 · Axes’ in all plots using Matplotlib are linear by default, yscale () and xscale () method of the matplotlib.pyplot library can be used to change the y-axis or x-axis scale to logarithmic respectively.
When you want to focus on how to plot logarithmic axes in Matplotlib for just the x-axis, you can use the semilogx () function. This is particularly useful when your x-axis data spans several orders of magnitude, but your y-axis data is better represented on a linear scale.
Axis scales# By default Matplotlib displays data on the axis using a linear scale. Matplotlib also supports logarithmic scales, and other less common scales as well. Usually this can be done directly by using the set_xscale or set_yscale methods.
Make a plot with log scaling on both the x- and y-axis. Call signatures: loglog([x], y, [fmt], data=None, **kwargs) loglog([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs) This is just a thin wrapper around plot which additionally changes both the x-axis and the y-axis to log scaling.
10 Δεκ 2019 · To make a semi-log plot with x-scale logarithmic, there are two options: import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.plot(x,y) ax.set_xscale('log') or. import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.semilogx(x,y) If you do not need to set the xticks, this two are both fine.
2 Φεβ 2024 · The semilogx() function creates plot with log scaling along X-axis while semilogy() function creates plot with log scaling along Y-axis. The default base of logarithm is 10 while base can set with basex and basey parameters for the function semilogx() and semilogy() respectively.
