Built-in Mathematica Symbol

LogLinearPlot

LogLinearPlot[f, {x, x_min, x_max}]
generates a log-linear plot of f as a function of x from x_min to x_max.

LogLinearPlot[{f₁, f₂, ...}, {x, x_min, x_max}]
generates log-linear plots of several functions f_i.

MORE INFORMATION

LogLinearPlot effectively generates a curve in which f is plotted against Log[x], but with tick marks indicating the original values of x.

LogLinearPlot makes logarithmic functions appear as straight lines.

LogLinearPlot has the same options as Plot.

EXAMPLES

CLOSE ALL

Basic Examples (3)

Make a plot with a logarithmic x scale:

Plot several functions:

Fill below a curve:

Make a plot with a logarithmic x scale:

In[1]:=

Out[1]=

Plot several functions:

Fill below a curve:

Scope (14)

More points are sampled when the function changes quickly:

The plot range is selected automatically:

Ranges where the function becomes non-real are excluded:

The curve is split when there are discontinuities in the function:

Use PlotPoints and MaxRecursion to control adaptive sampling:

Use PlotRange to explore areas of interest:

Use Exclusions to remove points or split the resulting curve:

Multiple curves are automatically colored to be distinct:

Provide explicit styling to different curves:

Add labels:

Provide an interactive Tooltip for each curve:

Create filled plots:

Create an overlay mesh:

Style the curve segments between mesh points:

Options (59)

Omit clipped regions of the plot:

Show the clipped regions like the rest of the curve:

Show clipped regions with red lines:

Show clipped regions as thick at the bottom, and red at the top:

Show clipped regions as red and thick:

Color by scaled

and

coordinates:

Color a curve red when its absolute

coordinate is above 0:

Fill with the color used for the curve:

No argument scaling on the left, automatic scaling on the right:

Find the list of values sampled by LogPlot:

Show where LogPlot evaluates the function:

Count how many times the function is evaluated:

Use automatic methods for computing exclusions, in this case for a piecewise function:

Indicate that no exclusions should be computed:

Use dashed lines to indicate the vertical asymptotes:

Use blue points to highlight the exclusions:

Use symbolic or explicit values:

Overlapping fills by default combine using opacity:

Fill between curve 1 and the axis:

Fill between curves 1 and 2:

Fill between curves 1 and 2 with a specific style:

Fill between curves 1 and 2; use yellow when 1 is below 2, and green when 1 is above 2:

Fill between curves 1 and

with yellow:

Use different fill colors:

Fill with opacity 0.5 yellow:

Fill with red below

and blue above:

Use a variable filling style obtained from a ColorFunction:

The default sampling mesh:

Each level of MaxRecursion will subdivide the initial mesh into a finer mesh:

Show the initial and final sampling meshes:

Use 20 mesh levels evenly spaced in the unscaled x direction:

Use an explicit list of values for the mesh in the x direction:

Use a mesh evenly spaced in the

and

directions:

Mesh functions use the unscaled values in the

direction:

Use Log to scale the mesh functions:

Show five mesh levels in the

direction (red) and ten in the

direction (blue):

Alternate red and blue segments of equal width in the

direction:

Use None to remove segments:

MeshShading can be used with PlotStyle:

MeshShading has higher priority than PlotStyle for styling the curve:

Use PlotStyle for some segments by setting MeshShading to Automatic:

MeshShading can be used with ColorFunction:

Color the mesh the same color as the plot:

Use a red mesh in the

direction:

Use a red mesh in the

direction and a blue mesh in the

direction:

Use big red mesh points in the

direction:

Generate a higher-quality plot:

Emphasize performance, possibly at the cost of quality:

Use more initial points to get a smoother curve:

Show the curve over the whole domain:

Show the curve only where it is real-valued:

Use different style directives:

By default different styles are chosen for multiple curves:

Explicitly specify the style for different curves:

PlotStyle can be combined with ColorFunction:

PlotStyle can be combined with MeshShading:

MeshStyle by default uses the same style as PlotStyle:

Show the curve where

:

Exclude the region where

:

Applications (1)

The A-weighting curve used for measuring perceived loudness of sound:

Properties & Relations (4)

LogLinearPlot samples more points where it needs to:

LogLinearPlot is a special case of Plot for curves:

Use LogPlot and LogLogPlot for logarithmic plots in the

direction:

Use ListLogLinearPlot for data: