Plots Definition

Plots Definition

Stem And Leaf Plots Definition
In descriptive statistics, a box plot or boxplot is a method for graphically depicting groups of numerical data through their quartiles.Box plots may also have lines extending from the boxes (whiskers) indicating variability outside the upper and lower quartiles, hence the terms box-and-whisker plot and box-and-whisker diagram. Plot definition, a secret plan or scheme to accomplish some purpose, especially a hostile, unlawful, or evil purpose: a plot to overthrow the government. Plot definition in English dictionary, plot meaning, synonyms, see also 'carpet plot',Gunpowder Plot',Popish Plot',lose the plot'. Enrich your vocabulary with the English Definition dictionary.
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:x, yarray-like or scalarThe 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, optionalA 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, optionalAn 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:linesA list of Line2D objects representing the plotted data.
Other Parameters:scalex, scaleybool, optional, default: TrueThese parameters determined if the view limits are adapted tothe data limits. The values are passed on to autoscale_view.
**kwargsLine2D properties, optionalkwargs 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:
PropertyDescription
agg_filtera filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alphafloat or None
animatedbool
antialiased or aabool
clip_boxBbox
clip_onbool
clip_pathPatch or (Path, Transform) or None
color or ccolor
containscallable
dash_capstyle{'butt', 'round', 'projecting'}
dash_joinstyle{'miter', 'round', 'bevel'}
dashessequence 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'
figureFigure
fillstyle{'full', 'left', 'right', 'bottom', 'top', 'none'}
gidstr
in_layoutbool
labelobject
linestyle or ls{'-', '--', '-.', ':', ', (offset, on-off-seq), ...}
linewidth or lwfloat
markermarker style
markeredgecolor or meccolor
markeredgewidth or mewfloat
markerfacecolor or mfccolor
markerfacecoloralt or mfcaltcolor
markersize or msfloat
markeveryNone or int or (int, int) or slice or List[int] or float or (float, float)
path_effectsAbstractPathEffect
pickerfloat or callable[[Artist, Event], Tuple[bool, dict]]
pickradiusfloat
rasterizedbool or None
sketch_params(scale: float, length: float, randomness: float)
snapbool or None
solid_capstyle{'butt', 'round', 'projecting'}
solid_joinstyle{'miter', 'round', 'bevel'}
transformmatplotlib.transforms.Transform
urlstr
visiblebool
xdata1D array
ydata1D array
zorderfloat
See also
scatterXY 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
characterdescription
'.'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
`'.'`	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

characterdescription
'-'solid line style
'--'dashed line style
'-.'dash-dot line style
':'dotted line style

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

Stem And Leaf Plots Definition
In descriptive statistics, a box plot or boxplot is a method for graphically depicting groups of numerical data through their quartiles.Box plots may also have lines extending from the boxes (whiskers) indicating variability outside the upper and lower quartiles, hence the terms box-and-whisker plot and box-and-whisker diagram. Plot definition, a secret plan or scheme to accomplish some purpose, especially a hostile, unlawful, or evil purpose: a plot to overthrow the government. Plot definition in English dictionary, plot meaning, synonyms, see also 'carpet plot',Gunpowder Plot',Popish Plot',lose the plot'. Enrich your vocabulary with the English Definition dictionary.
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:x, yarray-like or scalarThe 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, optionalA 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, optionalAn 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:linesA list of Line2D objects representing the plotted data.
Other Parameters:scalex, scaleybool, optional, default: TrueThese parameters determined if the view limits are adapted tothe data limits. The values are passed on to autoscale_view.
**kwargsLine2D properties, optionalkwargs 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:
PropertyDescription
agg_filtera filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alphafloat or None
animatedbool
antialiased or aabool
clip_boxBbox
clip_onbool
clip_pathPatch or (Path, Transform) or None
color or ccolor
containscallable
dash_capstyle{'butt', 'round', 'projecting'}
dash_joinstyle{'miter', 'round', 'bevel'}
dashessequence 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'
figureFigure
fillstyle{'full', 'left', 'right', 'bottom', 'top', 'none'}
gidstr
in_layoutbool
labelobject
linestyle or ls{'-', '--', '-.', ':', ', (offset, on-off-seq), ...}
linewidth or lwfloat
markermarker style
markeredgecolor or meccolor
markeredgewidth or mewfloat
markerfacecolor or mfccolor
markerfacecoloralt or mfcaltcolor
markersize or msfloat
markeveryNone or int or (int, int) or slice or List[int] or float or (float, float)
path_effectsAbstractPathEffect
pickerfloat or callable[[Artist, Event], Tuple[bool, dict]]
pickradiusfloat
rasterizedbool or None
sketch_params(scale: float, length: float, randomness: float)
snapbool or None
solid_capstyle{'butt', 'round', 'projecting'}
solid_joinstyle{'miter', 'round', 'bevel'}
transformmatplotlib.transforms.Transform
urlstr
visiblebool
xdata1D array
ydata1D array
zorderfloat
See also
scatterXY 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
characterdescription
'.'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
characterdescription
'-'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
charactercolor
'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').
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character	color
`'b'`	blue
`'g'`	green
`'r'`	red
`'c'`	cyan
`'m'`	magenta
`'y'`	yellow
`'k'`	black
`'w'`	white