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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 · How to Plot Logarithmic Axes in Matplotlib? Last Updated : 21 Jan, 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.
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.
Detailed examples of Log Plots including changing color, size, log axes, and more in Python.
Plotting a bar chart with a logarithmic y-axis.
How to Plot Logarithmic Axes in Matplotlib is an essential skill for data visualization in Python. Logarithmic axes are particularly useful when dealing with data that spans several orders of magnitude or when you want to emphasize relative changes rather than absolute differences.
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.
