Scatter symbol

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Scatter Symbols in Slots

Sometimes referred to as a slot player’s best friend, the scatter symbol is basically a key to unlocking various fun bonus features designed within a slot game. Unlike symbols that have to be lined up on a payline to win anything, the scatter just has to appear on the reels to open up free spins, mini-games, or other bonuses. Scatter symbols are typically one of the highest paying symbols in a slot game and are represented by a specific graphic that is unique to the theme of the particular slot title.

How do they work?

Usually, a certain number of scatter symbols must appear on a single spin to unlock a feature. These details are outlined on the game’s paytable. When the required number of scatter symbols pop up on a single spin, the game will launch into the promised feature. Oftentimes, this is free spins, but sometimes the scatter symbol is used to open up other interactive bonus games.

Hitting 3 scatter symbols in a spin usually activates a bonus feature such as free spins

The scatter features are usually game-specific, meaning that they function a bit differently across the board, according to the slot you are playing. That being said though, many scatter icons are simply just scatter icons and may sometimes just payout on a winning combination. You will find this is true on simpler slot games that do not offer bonus events outside of wild and scatter payouts.

Do All Slots Feature Scatter Symbols?

Although it’s a pretty standard feature on most 5-reel slot machines, not as many three-reel slots offer scatter symbols or their accompanying bonuses. They can also be found in games with progressive jackpots, 7 reel games, slots with bonus games and pretty much every other type of slot machine out there.

How Do I Know if a Game Has a Scatter?

In most games, the Paytable is easily accessible from the gaming screen. Once you click on the Paytable icon, a box will open up. Here you will find all the backend info on signs, including scatters, as well as wild and bonus elements, among other information specific to that slot.

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Viewing the Paytable before you play is always a good idea. That way, you understand the potential of the game, as well as all the symbols like scatters, wilds, and bonus icons, and how they work individually as well as the winning combinations and payouts, and how they trigger bonus features.

The scatter symbol in a slot game can usually be found by looking at the game information screen or payout table

matplotlib.pyplot.scatter¶

A scatter plot of y vs x with varying marker size and/or color.

The data positions.

s : scalar or array_like, shape (n, ), optional

The marker size in points**2. Default is rcParams[’lines.markersize’] ** 2 .

c : color, sequence, or sequence of color, optional

The marker color. Possible values:

  • A single color format string.
  • A sequence of color specifications of length n.
  • A sequence of n numbers to be mapped to colors using cmap and norm.
  • A 2-D array in which the rows are RGB or RGBA.

Note that c should not be a single numeric RGB or RGBA sequence because that is indistinguishable from an array of values to be colormapped. If you want to specify the same RGB or RGBA value for all points, use a 2-D array with a single row. Otherwise, value- matching will have precedence in case of a size matching with x and y.

Defaults to None . In that case the marker color is determined by the value of color , facecolor or facecolors . In case those are not specified or None , the marker color is determined by the next color of the Axes ’ current ”shape and fill” color cycle. This cycle defaults to rcParams[”axes.prop_cycle”] .

marker : MarkerStyle , optional

The marker style. marker can be either an instance of the class or the text shorthand for a particular marker. Defaults to None , in which case it takes the value of rcParams[”scatter.marker”] = ’o’. See markers for more information about marker styles.

cmap : Colormap , optional, default: None

A Colormap instance or registered colormap name. cmap is only used if c is an array of floats. If None , defaults to rc image.cmap .

norm : Normalize , optional, default: None

A Normalize instance is used to scale luminance data to 0, 1. norm is only used if c is an array of floats. If None, use the default colors.Normalize .

vmin, vmax : scalar, optional, default: None

vmin and vmax are used in conjunction with norm to normalize luminance data. If None, the respective min and max of the color array is used. vmin and vmax are ignored if you pass a norm instance.

alpha : scalar, optional, default: None

The alpha blending value, between 0 (transparent) and 1 (opaque).

linewidths : scalar or array_like, optional, default: None

The linewidth of the marker edges. Note: The default edgecolors is ’face’. You may want to change this as well. If None, defaults to rcParams lines.linewidth .

edgecolors : <'face', 'none', None> or color or sequence of color, optional.

The edge color of the marker. Possible values:

  • ’face’: The edge color will always be the same as the face color.
  • ’none’: No patch boundary will be drawn.
  • A Matplotlib color or sequence of color.

Defaults to None , in which case it takes the value of rcParams[”scatter.edgecolors”] = ’face’.

For non-filled markers, the edgecolors kwarg is ignored and forced to ’face’ internally.

plotnonfinite : boolean, optional, default: False

Set to plot points with nonfinite c, in conjunction with set_bad .

Returns: paths : PathCollection Other Parameters: **kwargs : Collection properties

plot To plot scatter plots when markers are identical in size and color.

  • The plot function will be faster for scatterplots where markers don’t vary in size or color.
  • Any or all of x, y, s, and c may be masked arrays, in which case all masks will be combined and only unmasked points will be plotted.
  • Fundamentally, scatter works with 1-D arrays; x, y, s, and c may be input as 2-D arrays, but within scatter they will be flattened. The exception is c, which will be flattened only if its size matches the size of x and y.

In addition to the above described arguments, this function can take a data keyword argument. If such a data argument is given, the following arguments are replaced by data[]:

  • All arguments with the following names: ’c’, ’color’, ’edgecolors’, ’facecolor’, ’facecolors’, ’linewidths’, ’s’, ’x’, ’y’.

Objects passed as data must support item access ( data[] ) and membership test ( in data ).

scatter

Syntax

Description

scatter( x , y ) creates a scatter plot with circles at the locations specified by the vectors x and y . This type of graph is also known as a bubble plot.

scatter( x , y , sz ) specifies the circle sizes. To plot each circle with equal size, specify sz as a scalar. To plot each circle with a different size, specify sz as a vector with length equal to the length of x and y .

scatter( x , y , sz , c ) specifies the circle colors. To plot all circles with the same color, specify c as a color name or an RGB triplet. To use varying color, specify c as a vector or a three-column matrix of RGB triplets.

scatter( ___ , ’filled’ ) fills in the circles. Use the ’filled’ option with any of the input argument combinations in the previous syntaxes.

scatter( ___ , mkr ) specifies the marker type.

scatter( ___ , Name,Value ) modifies the scatter chart using one or more name-value pair arguments. For example, ’LineWidth’,2 sets the marker outline width to 2 points.

scatter( ax , ___ ) plots into the axes specified by ax instead of into the current axes. The option ax can precede any of the input argument combinations in the previous syntaxes.

s = scatter( ___ ) returns the Scatter object. Use s to make future modifications to the scatter chart after it is created.

Examples

Create Scatter Plot

Create x as 200 equally spaced values between 0 and 3 π . Create y as cosine values with random noise. Then, create a scatter plot.

Vary Circle Size

Create a scatter plot using circles with different sizes. Specify the size in points squared

Corresponding elements in x , y , and sz determine the location and size of each circle. To plot all circles with the equal area, specify sz as a numeric scalar.

Vary Circle Color

Create a scatter plot and vary the circle color.

Corresponding elements in x , y , and c determine the location and color of each circle. The scatter function maps the elements in c to colors in the current colormap.

Fill the Markers

Create a scatter plot and fill in the markers. scatter fills each marker using the color of the marker edge.

Specify Marker Symbol

Create vectors x and y as sine and cosine values with random noise. Then, create a scatter plot and use diamond markers with an area of 140 points squared.

Change Marker Color and Line Width

Create vectors x and y as sine and cosine values with random noise. Create a scatter plot and set the marker edge color, marker face color, and line width.

Specify Target Axes and Marker Type

Starting in R2020b, you can display a tiling of plots using the tiledlayout and nexttile functions. Call the tiledlayout function to create a 2-by-1 tiled chart layout. Call the nexttile function to create the axes objects ax1 and ax2 . Plot scattered data into each axes. In the bottom scatter plot, specify diamond filled diamond markers.

Modify Scatter Series After Creation

Create a scatter plot and return the scatter series object, s .

Use s to query and set properties of the scatter series after it has been created. Set the line width to 0.6 point. Set the marker edge color to blue. Set the marker face color using an RGB triplet color.

Input Arguments

x — x values
vector

x values, specified as a vector. x and y must be vectors of equal length.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | categorical | datetime | duration

y — y values
vector

y values, specified as a vector. x and y must be vectors of equal length.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | categorical | datetime | duration

sz — Marker area
36 (default) | numeric scalar | row or column vector | []

Marker area in points squared, specified in one of these forms:

Numeric scalar — Plot all markers with equal size.

Row or column vector — Use different sizes for each marker. Corresponding elements in x , y , and sz determine the location and area of each marker. The length of sz must equal the length of x and y .

[] — Use the default area of 36 points squared.

The units for the marker area is points squared.

Example: 50

Example: [36 25 25 17 46]

c — Marker color
[0 0 1] (default) | RGB triplet | three-column matrix of RGB triplets | vector | ’r’ | ’g’ | ’b’ | .

Marker color, specified in one of these forms:

RGB triplet or color name — Plot all markers with the same color.

Three column matrix of RGB triplets — Use different colors for each marker. Each row of the matrix specifies an RGB triplet color for the corresponding marker. The number of rows must equal the length of x and y .

Vector — Use different colors for each marker and linearly map values in c to the colors in the current colormap. The length of c must equal the length of x and y . To change the colormap for the axes, use the colormap function.

If you have three points in the scatter plot and want the colors to be indices into the colormap, specify c as a three-element column vector.

An RGB triplet is a three-element row vector whose elements specify the intensities of the red, green, and blue components of the color. The intensities must be in the range [0,1] ; for example, [0.4 0.6 0.7] . Alternatively, you can specify some common colors by name. This table lists the long and short color name options and the equivalent RGB triplet values.

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