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Posted : admin On 4/5/2022A decision plot can expose a model’s typical prediction paths. Here, we plot all of the predictions from the UCI Adult Income data set in the probability interval 0.98, 1.0 to see what high-scoring predictions have in common. The features are ordered using hierarchical clustering to group similar prediction paths. Plot the piecewise function Plot multiple lines using hold on. Specify the plotting intervals using the second input argument of fplot. Specify the color of the plotted lines as blue using 'b'. This plot is a simple point A to point B and back to point A plot. The protagonist sets off on a journey, only to return to his or her starting point having gained wisdom and experience (and sometimes treasure too). Paulo Coelho's The Alchemist is a beloved contemporary illustration of this plot. How to Outline a Story Plot: Three-Act Structure.
Arrange multiple plots into a grid
Arrange multiple plots into a grid.
Usage
Arguments
List of plots to be arranged into the grid. The plots can be any objects thatthe function as_gtable()
can handle (see also examples).
(optional) List of plots to display. Alternatively, the plots can be providedindividually as the first n arguments of the function plot_grid (see examples).
(optional) Specifies whether graphs in the grid should be horizontally ('h') orvertically ('v') aligned. Options are 'none' (default), 'hv' (align in both directions), 'h', and 'v'.
(optional) Specifies whether graphs should be aligned by the left ('l'), right ('r'), top ('t'), or bottom ('b')margins. Options are 'none' (default), or a string of any combination of l, r, t, and b in any order (e.g. 'tblr' or 'rlbt' for aligning all margins).Must be specified if any of the graphs are complex (e.g. faceted) and alignment is specified and desired. See align_plots()
for details.
(optional) Number of rows in the plot grid.
(optional) Number of columns in the plot grid.
(optional) Numerical vector of relative columns widths. For example, in a two-columngrid, rel_widths = c(2, 1)
would make the first column twice as wide as thesecond column.
(optional) Numerical vector of relative rows heights. Works just asrel_widths
does, but for rows rather than columns.
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(optional) List of labels to be added to the plots. You can also set labels='AUTO'
toauto-generate upper-case labels or labels='auto'
to auto-generate lower-case labels.
(optional) Numerical value indicating the label size. Default is 14.
(optional) Font family of the plot labels. If not provided, is taken from the current theme.
(optional) Font face of the plot labels. Default is 'bold'.
(optional) Color of the plot labels. If not provided, is taken from the current theme.
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(optional) Single value or vector of x positions for plot labels, relative to each subplot.Defaults to 0 for all labels. (Each label is placed all the way to the left of each plot.)
(optional) Single value or vector of y positions for plot labels, relative to each subplot.Defaults to 1 for all labels. (Each label is placed all the way to the top of each plot.)
Plots B 2
Adjusts the horizontal position of each label. More negative values move the label furtherto the right on the plot canvas. Can be a single value (applied to all labels) or a vector of values(one for each label). Default is -0.5.
Adjusts the vertical position of each label. More positive values move the label furtherdown on the plot canvas. Can be a single value (applied to all labels) or a vector of values(one for each label). Default is 1.5.
Individual number or vector of numbers greater than 0. Enables you to scale the size of all orselect plots. Usually it's preferable to set margins instead of using scale
, but scale
cansometimes be more powerful.
(optional) How should margins be adjusted during alignment. See align_plots()
for details.
Logical value indicating if the plots should be arrange by row (default) or by column.
Deprecated. Use ncol
.
Deprecated. Use nrow
.
Aliases
- plot_grid
Examples
Community examples
Plot y versus x as lines and/or markers.
Call signatures:
The coordinates of the points or line nodes are given by 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.
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: |
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Returns: |
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Other Parameters: |
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See also
scatter
- XY scatter plot with markers of varying size and/or color ( sometimes also called bubble chart).
Notes
Format Strings
A format string consists of a part for color, marker and line:
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'
).