• Plot Colors Python
• Plot Color Octave
• Plot Color Mathematica

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Changing color: The 'color' command, abbreviated to co, works in the same way as the marker command. To see a list of available colors, type co? And to change the color of the second vector from its default (red) to dark blue (color no.4), type: PLT co 4 on 2 How to delete a panel from a plot: Two steps are involved. Legend does pick up line colors, styles, markers, and so on. You must have at least three plots in each plotgauss2d plot.As such, your legend command is applying the legend to the first three plots, all from the first call to plotgauss2d. Fplot uses adaptive step control to produce a representative graph, concentrating its evaluation in regions where the function's rate of change is the greatest. Examples Plot the hyperbolic tangent function from -2 to 2. Line color, specified as an RGB triplet, a hexadecimal color code, a color name, or a short name. For a custom color, specify an RGB triplet or a hexadecimal color code. An RGB triplet is a three-element row vector whose elements specify the intensities of the red, green, and blue components of the color.

Plot functions with simple syntax

Project description

A thin wrapper for matplotlib

Fplot’s goal is to provide simple syntax for plotting functions, with sensibledefaults. Matplotlib is powerful, but has awkward syntax, odd default display settings,and requires setting up data arrays manually. Making pretty function plots requiresmultiple lines of code. Fplot aims to fix this; it’s especially suited for visualizingfunctions when learning math.

Python 3 only.

Included functions

• plot: One input, one output.
• parametric: One input, two or three outputs. If three, use a 3d graph.
• contour: Two inputs, one output.
• surface: Two inputs, one output.
• vector: Two inputs, two outputs.
• vector3d: Three inputs, three outputs.
• polar: One input (angle), one output (radius)

Bonus functions

• plot2: Smoothed API for matplotlib 2d plotting that works properly in Jupyter notebooks. ie syntax like plt.plot, which doesn’t work properly in Jupyter. Arguments: (args, marker=’b-‘, linewidth: float=2.0, grid: bool=False, color: str=None, title: str=None, equal_aspect: bool=False, style: str=None, show: bool=True)
• imshow: Like plot2, but as a replacement for plt.imshow.

Basic documentation

The only required arguments for fplot funcs are the function to plot, and themin and max ranges. Example optional keyword arguments are shown. Example outputis shown in the link above.

For most plotting functions, you can plot multiple functions at once by passinga list or tuple as the first argument.

Show a graph (1 input, 1 output)

Show a contour plot (2 inputs, 1 output)

Show a surface plot (2 inputs, 1 output)

Show a 2d parametric plot (1 input, 2 outputs)

Show a 3d parametric plot (1 input, 3 outputs)

Show a 2d vector plot (2 inputs, 2 outputs)

Show a 3d vector plot (3 inputs, 3 outputs)

Show a 2d polar plot (1 input, 1 output)

Plot Colors Python

Example of an interactive plot with Ipython widgets in Jupyter notebook

• show: Defaults to True. Instantly display the plot. If False, return the axis object.
• resolution: Controls how many points to draw, based on function input. Higher resolutionallows more zooming, but may lower performance.
• color: (ie line color)
• linewidth: line width.
• y_min and y_max: (only for 2d input)
• theta_min and theta_max (only for polar plots)
• style: (ie from plt.use.style())
• grid: defaults to True
• equal_aspect: defaults to False
• title: Shown at the top of the plot
• stream: vector plot only; show a stream plot if True
• contours: surface plot only; show contour plots along each axis if True
• num_contours: contour plot only; set number of contour lines to draw. Defaults to 10.

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Plot Color Octave

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• Solution
• Color charts

Problem

You want to use colors in a graph with ggplot2.

Solution

The default colors in ggplot2 can be difficult to distinguish from one another because they have equal luminance. They are also not friendly for colorblind viewers.

A good general-purpose solution is to just use the colorblind-friendly palette below.

Sample data

These two data sets will be used to generate the graphs below.

Simple color assignment

The colors of lines and points can be set directly using colour='red', replacing “red” with a color name. The colors of filled objects, like bars, can be set using fill='red'.

If you want to use anything other than very basic colors, it may be easier to use hexadecimal codes for colors, like '#FF6699'. (See the hexadecimal color chart below.)

Mapping variable values to colors

Instead of changing colors globally, you can map variables to colors – in other words, make the color conditional on a variable, by putting it inside an aes() statement.

A colorblind-friendly palette

These are color-blind-friendly palettes, one with gray, and one with black.

To use with ggplot2, it is possible to store the palette in a variable, then use it later.

This palette is from http://jfly.iam.u-tokyo.ac.jp/color/:

Color selection

By default, the colors for discrete scales are evenly spaced around a HSL color circle. For example, if there are two colors, then they will be selected from opposite points on the circle; if there are three colors, they will be 120° apart on the color circle; and so on.The colors used for different numbers of levels are shown here:

The default color selection uses scale_fill_hue() and scale_colour_hue(). For example, adding those commands is redundant in these cases:

Setting luminance and saturation (chromaticity)

Although scale_fill_hue() and scale_colour_hue() were redundant above, they can be used when you want to make changes from the default, like changing the luminance or chromaticity.

This is a chart of colors with luminance=45:

Palettes: Color Brewer

You can also use other color scales, such as ones taken from the RColorBrewer package. See the chart of RColorBrewer palettes below. See the scale section here for more information.

Palettes: manually-defined

Finally, you can define your own set of colors with scale_fill_manual(). See the hexadecimal code chart below for help choosing specific colors.

Continuous colors

[Not complete]

See the scale section here for more information.

Color charts

Hexadecimal color code chart

Colors can specified as a hexadecimal RGB triplet, such as '#0066CC'. The first two digits are the level of red, the next two green, and the last two blue. The value for each ranges from 00 to FF in hexadecimal (base-16) notation, which is equivalent to 0 and 255 in base-10. For example, in the table below, “#FFFFFF” is white and “#990000” is a deep red.

(Color chart is from http://www.visibone.com)

Plot Color Mathematica

RColorBrewer palette chart