4/13/2022

Plot Xy Graph

Plot y versus x as lines and/or markers.

X Y Axis Graph Maker
Plot Xy Graph Python
Plot Xy Graph Matplotlib

XY scatter plot with markers of varying size and/or color (sometimes also called bubble chart).

Call signatures:

The coordinates of the points or line nodes are given by x, y.

Graph Individual (x,y) Points - powered by WebMath. The most basic plotting skill it to be able to plot x,y points. This page will help you to do that.
Turbo C Graphics - Plotting XY Scatter Graph Here is the graphics program that can display graph by taking two sets of Y values and X values are common for the both.
Complete the following steps to display an array of points on a single-plot XY graph. Add an XY graph to the front panel.; Build a block diagram with the following objects: Divide function; Multiply function; Sine function; Bundle function; For Loop around all objects on the block diagram except the XY graph terminal; Wire the x/y.

The optional parameter fmt is a convenient way for defining basicformatting like color, marker and linestyle. It's a shortcut stringnotation described in the Notes section below.

You can use Line2D properties as keyword arguments for morecontrol on the appearance. Line properties and fmt can be mixed.The following two calls yield identical results:

When conflicting with fmt, keyword arguments take precedence.

Plotting labelled data

There's a convenient way for plotting objects with labelled data (i.e.data that can be accessed by index obj['y']). Instead of givingthe data in x and y, you can provide the object in the dataparameter and just give the labels for x and y:

All indexable objects are supported. This could e.g. be a dict, apandas.DataFame or a structured numpy array.

Plotting multiple sets of data

There are various ways to plot multiple sets of data.

X Y Axis Graph Maker

The most straight forward way is just to call plot multiple times.Example:
Alternatively, if your data is already a 2d array, you can pass itdirectly to x, y. A separate data set will be drawn for everycolumn.
Example: an array a where the first column represents the xvalues and the other columns are the y columns:
The third way is to specify multiple sets of [x], y, [fmt]groups:
In this case, any additional keyword argument applies to alldatasets. Also this syntax cannot be combined with the dataparameter.

By default, each line is assigned a different style specified by a'style cycle'. The fmt and line property parameters are onlynecessary if you want explicit deviations from these defaults.Alternatively, you can also change the style cycle usingrcParams['axes.prop_cycle'] (default: cycler('color', ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'])).

Parameters:

x, yarray-like or scalar

The horizontal / vertical coordinates of the data points.x values are optional and default to range(len(y)).

Commonly, these parameters are 1D arrays.

They can also be scalars, or two-dimensional (in that case, thecolumns represent separate data sets).

These arguments cannot be passed as keywords.

fmtstr, optional

A format string, e.g. 'ro' for red circles. See the Notessection for a full description of the format strings.

Format strings are just an abbreviation for quickly settingbasic line properties. All of these and more can also becontrolled by keyword arguments.

This argument cannot be passed as keyword.

dataindexable object, optional

An object with labelled data. If given, provide the label names toplot in x and y.

Note

Technically there's a slight ambiguity in calls where thesecond label is a valid fmt. plot('n','o',data=obj)could be plt(x,y) or plt(y,fmt). In such cases,the former interpretation is chosen, but a warning is issued.You may suppress the warning by adding an empty format stringplot('n','o',',data=obj).

Returns:

lines: A list of Line2D objects representing the plotted data.

Other Parameters:

scalex, scaleybool, optional, default: True

These parameters determined if the view limits are adapted tothe data limits. The values are passed on to autoscale_view.

**kwargsLine2D properties, optional

kwargs are used to specify properties like a line label (forauto legends), linewidth, antialiasing, marker face color.Example:

If you make multiple lines with one plot command, the kwargsapply to all those lines.

Here is a list of available Line2D properties:

Property	Description
`agg_filter`	a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
`alpha`	float or None
`animated`	bool
`antialiased` or aa	bool
`clip_box`	`Bbox`
`clip_on`	bool
`clip_path`	Patch or (Path, Transform) or None
`color` or c	color
`contains`	callable
`dash_capstyle`	{'butt', 'round', 'projecting'}
`dash_joinstyle`	{'miter', 'round', 'bevel'}
`dashes`	sequence of floats (on/off ink in points) or (None, None)
`data`	(2, N) array or two 1D arrays
`drawstyle` or ds	{'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'
`figure`	`Figure`
`fillstyle`	{'full', 'left', 'right', 'bottom', 'top', 'none'}
`gid`	str
`in_layout`	bool
`label`	object
`linestyle` or ls	{'-', '--', '-.', ':', ', (offset, on-off-seq), ...}
`linewidth` or lw	float
`marker`	marker style
`markeredgecolor` or mec	color
`markeredgewidth` or mew	float
`markerfacecolor` or mfc	color
`markerfacecoloralt` or mfcalt	color
`markersize` or ms	float
`markevery`	None or int or (int, int) or slice or List[int] or float or (float, float)
`path_effects`	`AbstractPathEffect`
`picker`	float or callable[[Artist, Event], Tuple[bool, dict]]
`pickradius`	float
`rasterized`	bool or None
`sketch_params`	(scale: float, length: float, randomness: float)
`snap`	bool or None
`solid_capstyle`	{'butt', 'round', 'projecting'}
`solid_joinstyle`	{'miter', 'round', 'bevel'}
`transform`	`matplotlib.transforms.Transform`
`url`	str
`visible`	bool
`xdata`	1D array
`ydata`	1D array
`zorder`	float

Plot Xy Graph Python

Format Strings

A format string consists of a part for color, marker and line:

Plot Xy Graph Matplotlib

Each of them is optional. If not provided, the value from the stylecycle is used. Exception: If line is given, but no marker,the data will be a line without markers.

Other combinations such as [color][marker][line] are alsosupported, but note that their parsing may be ambiguous.

Markers

character	description
`'.'`	point marker
`','`	pixel marker
`'o'`	circle marker
`'v'`	triangle_down marker
`'^'`	triangle_up marker
`'<'`	triangle_left marker
`'>'`	triangle_right marker
`'1'`	tri_down marker
`'2'`	tri_up marker
`'3'`	tri_left marker
`'4'`	tri_right marker
`'s'`	square marker
`'p'`	pentagon marker
`'*'`	star marker
`'h'`	hexagon1 marker
`'H'`	hexagon2 marker
`'+'`	plus marker
`'x'`	x marker
`'D'`	diamond marker
`'d'`	thin_diamond marker
`' '`	vline marker
`'_'`	hline marker

Line Styles

character	description
`'-'`	solid line style
`'--'`	dashed line style
`'-.'`	dash-dot line style
`':'`	dotted line style

Example format strings:

Colors

The supported color abbreviations are the single letter codes

character	color
`'b'`	blue
`'g'`	green
`'r'`	red
`'c'`	cyan
`'m'`	magenta
`'y'`	yellow
`'k'`	black
`'w'`	white

and the 'CN' colors that index into the default property cycle.

If the color is the only part of the format string, you canadditionally use any matplotlib.colors spec, e.g. full names('green') or hex strings ('#008000').