Keyword Arguments¶

Mandatory¶

All inputs to fivecentplots are treated as keyword arguments. The function call (plot, boxplot, hist, etc.) determines the kind of plot, but keywords determine what data is included and how the plot is styled and arranged. Most keywords are completely optional or can be loaded automatically from a user theme file. The only mandatory inputs to plot functions involve the basics of the data that should be plotted:

Keyword	Data Type	Description	Required?
df	pandas DataFrame	DataFrame containing all data to be plotted including grouping columns	always (note: `df` can also be specified as the first function argument withouth the keyword name of `df==`)
x	str	Column name of the x-axis data	all except boxplot
y	str	Column name of the y-axis data	all except histogram
z	str	Column name of the z-axis data	only for contour and heatmap

Elements¶

Each item in a plot layout (axis, labels, legend, etc.) is represented by an Element object that contains important attributes like edge color, fill color, size, font, etc., that fully describe the element. All the base attributes of a particular Element can be overriden by keywords provided either in a user theme file or at the time of the plot function call.

Nomenclature¶

Keywords that access the attributes of an element mostly follow a specific formula:

Keyword Naming Scheme

Consider the following examples:

Change the x label font color to red:

label_x_font_color = ‘#FF0000’

Change the y-axis minor gridline width:

grid_major_y_width = 2

Change the axes edge color to black:

ax_edge_color = ‘#000000’

Change the whisker color in a box plot:

box_whisker_color = #FF00FF

Some elements have attributes that fall outside of the scope of the Default Attributes. These still follow the general nomenclature found above. For example:

Display the fit equation and rsq value of a line fit:

fit_eqn = True fit_rsq = True

Set a different marker size just for the legend

legend_marker_size = 8

Change the statistic of the connecting line on a boxplot:

box_stat_line = ‘std’

There are also a handful of keywords that allow a shorthand notation when defining them in the function call. For example, if you are calling boxplot and want to convert the box to a violin, you can use either box_violin=True or violin=True. However, the long form of such values is still required in theme files.

Listed below are the keyword arguments of specific elements. Note that some keywords deviate from the standard nomenclature given what they represent.

Note

We only list the base Element attributes below which have a default value different than what is specified in the table above for base attributes. Base attributes that do not apply to a given Element are also listed.

Base attributes¶

Each Element object contains a basic set of attributes which may or may not be used depending on the specifics of the element:

Category	Keyword	Description	Default	Example
Fill	fill_alpha	fill color opacity [0 (fully transparent) - 1 (opaque)]	1	https://test.org
Fill	fill_color	fill color (hex color code)	#ffffff	https://test.org
Edges	edge_alpha	edge color opacity [0 (fully transparent) - 1 (opaque)]	1	https://test.org
	edge_width	width in pixels of the element border	1	https://test.org
	edge_color	edge color (hex color code)	#ffffff	https://test.org
Fonts	font	font name for element text	sans-serif	https://test.org
	font_color	font color (hex color code)	#000000	https://test.org
	font_size	font size in pixels	14	https://test.org
	font_style	font style [‘normal’, ‘italic’, ‘oblique’]	normal	https://test.org
	font_weight	font weight [‘light’, ‘normal’, ‘medium’, ‘semibold’, ‘bold’, ‘heavy’, ‘black’]	normal	https://test.org
Lines	alpha	line opacity	1	https://test.org
	color	line color (hex color code)	#000000	https://test.org
	style	line style [‘-‘, ‘–’, ‘-.’, ‘:’]		https://test.org
	width	line width in pixels	1	https://test.org
Other	on	toggle visibility of the element	depends	https://test.org
	size	[width, height] of the object
	text	label text associated with the object

Axes¶

The axes element consists of the actual plotting window shown in yellow above. Keywords for the primary axes object begin with the prefix “ax_”. Properties of any optional secondary axes begin with the prefix “ax2_”.

Keyword	Data Type	Description	Default	Example
ax_edge_color	hex color string	outer edge color of plot area	#aaaaaa	None
ax_fill_color	hex color string	inner fill color of plot area	#eaeaea	None
ax_scale	str	enable linear vs log scaling of axis		log scale plot
		x-axis: [‘linear’, ‘logx’, ‘semilogx’]
		y-axis: [‘linear’, ‘logx’, ‘semilogx’]
		both: [‘loglog’, ‘log’]
		other: [‘symlog’, ‘logit’]
ax_size	list of ints	width, height of plot area	[400, 400]	None
spines	boolean	show all axis edges	True
spine_bottom	boolean	show bottom axis edge	True
spine_left	boolean	show left axis edge	True
spine_right	boolean	show right axis edge	True
spine_top	boolean	show top axis edge	True
twin_x	boolean	enable/disable a secondary y-axis (x-axis is “twinned” or duplicated across two y-axes)	False	twin_x plot
twin_y	boolean	enable/disable a secondary x-axis (y-axis is “twinned” or duplicated across two x-axes)	False	twin_y plot
twin_y	boolean	Note: wrap plots cannot be used when `twin_y == True`	False	twin_y plot
xmin	float\|list of floats\|None	minimum x-values; can use a list for each subplot	None	primary axis
x2min	float\|list of floats\|None	minimum x-values; can use a list for each subplot	None	secondary axis
xmax	float\|list of floats\|None	maximum x-values; can use a list for each subplot	None	primary axis
x2max	float\|list of floats\|None	maximum x-values for secondary axis; can use a list for each subplot	None	secondary axis
ymin	float\|list of floats\|None	minimum y-values; can use a list for each subplot	None	primary axis
y2min	float\|list of floats\|None	minimum y-values for secondary axis; can use a list for each subplot	None	secondary axis
ymax	float\|list of floats\|None	maximum y-values; can use a list for each subplot	None	primary axis
y2max	float\|list of floats\|None	maximum y-values for secondary axis; can use a list for each subplot	None	secondary axis

The following base attributes of the Element class are not used for this item:

“Fonts” category

“Lines” category

text

Boxplots¶

Boxplots have several unique Element objects that can be styled:

Boxes: the actual boxes of the box plot (shown in white with a blue border above) are accessed using keywords with the prefix box_:

Keyword Data Type Description Default Example

box_on boolean toggle box visibility True box plot

box_edge_color str edge color of the boxes #4b72b0

box_fill_color str fill color of the boxes #ffffff

box_median_color str color of the median line within the boxes #ff7f0e

notch boolean use a notched-style box instead of a rectangular box False

Divider lines: optional vertical divider lines between groups

These lines are styled using keywords with the prefix box_divider and use the “Lines” category of base attributes for the Element object. They are enabled by default but can be turned off with box_divider=False:

Keyword Data Type Description Default

box_divider_on boolean toggle divider lines between groups on/off True

box_divider_color str line color #bbbbbb

Group labels: labels directly under each box that indicate the unique group values of the given box (shown in yellow above).

Keyword Prefix

box_group_label_

These labels are styled using keywords with the prefix box_group_label_ and are similar to other label elements.

Group titles: labels to the right of the group labels that indicate the DataFrame column name of each grouping column (shown in salmon above).

These labels are controlled using keywords with the prefix box_group_title_ and are similar to other label elements.

Range lines: optional lines within a single box that span the entire range of the data set. These are useful for visualization of outlier points that may be outside of the selected ymin/ymax range. They are accessed using keywords with the prefix box_range_lines_:

Keyword Data Type Description Default

box_range_lines_on boolean toggle range lines on/off True

box_range_lines_color str line color #cccccc

box_range_lines_style str horizontal lines at the end of the range

box_range_lines_style2 str vertical lines connecting the horizontal lines at the end of the range –

Stat lines: optional connecting line between each box at some statistical value calculated from the data for a single box. Options include any stat that can be computed via the groupby command on a pandas DataFrame (i.e., “mean”, “median”, “std”, etc.). Box stat lines are accessed using keywords with the prefix box_stat_line_:

Keyword Data Type Description Default

box_stat_line_on boolean toggle divider lines between groups on/off True

box_stat_line str set the statistic for the connecting line mean

box_stat_line_color str line color #666666

Color Bar¶

A color bar (or “cbar”) is a colorized gradient scale used to signify the z-value of data plotted in an X-Y plane on a contour or heatmap plot. By default, the color bar is disabled.

Keyword	Data Type	Description	Default	Example
cbar	boolean	toggle colorbar on/off for contour and heatmap plots	False	contour example
size	int	cbar width (height will match the height of the axes)	30	contour example

The color bar text label is pulled from the column name supplied for the keyword z, but can be overriden via the keyword label_z. All font keywords which belong to the base Element class can be used to style the color bar text.

The following base attributes of the Element class are not used for this item:

“Lines” category

text

Confidence Intervals¶

See Stats

Contour¶

Contour plots have a few options that can be specified via keyword:

Keyword	Data Type	Description	Default	Example
cmap	str	Name of a color map	inferno	contour example
filled	boolean	Fill area between contour lines	True
levels	int	Number of contour lines/levels to draw	20

Figure¶

Note

To style the figure region in yellow for this example, the following keywords were used in the fcp.plot command:

fig_edge_color='#000000', fig_fill_color='#fffd75', fig_fill_alpha=0.5

Notice, we are just accessing default Element class attributes and prepending the keywords with the element name, fig_ in this case.

The figure element is the full window in which other elements are rendered. Most of the figure region is covered by these other elements but the visible portion (shown in yellow above) can be styled. figure elements can also be subdivided into multiple subplots to display more data. Unlike matplotlib, the size of the figure window is caluculated automatically by the sizes of the discrete elements it contains. It cannot be set directly.

Keyword Prefix

fig_

Keyword	Data Type	Description	Default
dpi	int	dots per inch	100

The following base attributes of the Element class are not used for this item:

“Fonts” category

“Lines” category

on

size

text

Fit¶

fivecentplots can add a polynomial fit to a data set. This is controlled via the family of keywords beginning with fit_:

Keyword	Data Type	Description	Default	Example
fit	int	polynomial degree for the fit	None	Line fit
fit_color	hex color str	color of the fit line	#000000	None
fit_eqn	boolean	display the fit equation on the plot	False	None
fit_font_size	float	font size of the fit eqn and rsq value	12	None
fit_padding	int	padding in pixels from the top of the plot to the location of the fit eqn	10	None
fit_range_x	list	compute the fit only over a given range of x-values	None	third example here
fit_range_y	list	compute the fit only over a given range of y-values	None	third example here
fit_rsq	boolean	display the rsq of the fit on the plot	False	None

The following base attributes of the Element class are not used for this item:

“Fill” category

“Edges” category

“Fonts” category

on

size

text

Gridlines¶

A plot can have both major and minor grids on both primary and secondary axes. Only major grids are enabled by default.

Grids properities are accessed by keywords with the following nomenclature:

Keyword Naming Scheme

To specify grids of a specific axis you must include the axis designation in the keyword. If the axis is not specified, the property will be applied to all axes.

Keyword	Data Type	Description	Default	Example
grid_major	boolean	Toggle major grid visibility for primary x and y axes	True	` Major grid enabled/disabled <ticks.html#Major-grid>`_
grid_major_x	boolean	Toggle major grid visibility for primary x axis	True	None
grid_major_x2	boolean	Toggle major grid visibility for secondary x axis	False	None
grid_major_y	boolean	Toggle major grid visibility for primary y axis	True	None
grid_major_y2	boolean	Toggle major grid visibility for secondary y axis	False	None
grid_minor	boolean	Toggle minor grid visibility for primary x and y axes	False	` Minor grid enabled/disabled <ticks.html#Minor-grid>`_
grid_minor_x	boolean	Toggle minor grid visibility for primary x axis	False	None
grid_minor_x2	boolean	Toggle minor grid visibility for secondary x axis	False	None
grid_minor_y	boolean	Toggle minor grid visibility for primary y axis	False	None
grid_minor_y2	boolean	Toggle minor grid visibility for secondary y axis	False	None
grid_major\|minor_x\|y\|blank_color	str	Grid line color	#ffffff	None
grid_major\|minor_x\|y\|blank_style	str	Grid line style (follows matplotlib standards: ‘-‘, ‘–’, etc)		None
grid_major\|minor_x\|y\|blank_width	float	Grid line width	1.3	None

Heatmap¶

Heatmaps are a useful way to display categorical data or colorized images. The following keywords are available for this platform:

Keyword	Data Type	Description	Default	Example
cell_size	int	width of a heatmap cell	60	cell size
cmap	boolean	toggle colorbar on/off for contour and heatmap plots	False	basic heatmap
data_labels	boolean	enable/disable value labels on the heatmap cells	False	data labels
heatmap_font_xxx	various	data label fonts are controlled by standard font attributes with the prefix “heatmap”	Various	None

Labels¶

The following types of label elements can exist in a plot:

axis labels (colored in salmon on right)

Keyword Prefix

Single axis:

label_x_

label_y_

label_z_ (aka colorbar title)

All axes together:

label_

The default text for axes labels is pulled from the corresponding DataFrame column names used to define these values (i.e., the label_x text will match the value of x). However, axes label text can be overriden by setting a value for the label such as label_x='New Name'.

row, column, and wrap labels (colored in yellow on right)

Keyword Prefix

Single grouping type:

label_row_

label_col_

label_wrap_

All row/column labels together:

rc_label_

The text for row and column labels is the DataFrame column name followed by the unique value corresponding to that row or column of plots. The text for wrap labels will be a tuple of the unique values of the DataFrame columns specified for the wrap keyword. Unlike axes label text, row, column, or wrap label text cannot be overriden by the user but depends on the information in the DataFrame being plotted.

wrap titles: wrap_title (colored in cyan above)

Keyword Prefix

wrap_title_

The text for wrap titles is the column names specified for the wrap keyword.

All label elements are styled using the base Element class attributes for fill color, edge color, and font. The “Lines” category of base attributes is not used for labels.

The following base attributes of the Element class are not used for this item:

“Lines” category

Legend¶

The plot legend (shown in yellow on left) is controlled by keywords with the prefix legend_. By default, legends are placed outside of the plot area (where they should be to avoid obscuring data!).

Keyword	Data Type	Description	Default	Example
legend	str	name of a DataFrame column to use for grouping	None	Legend
location	int \| str	location of legend (at this time only outside of the plot is available!):	0	None
		0 \| “outside” = outside of plot on right side
		1 \| “upper right” = upper right inside corner
		2 \| “upper left = upper left inside corner
		3 \| “lower left” = lower left inside corner
		4 \| “lower right” = lower right inside corner
		5 \| “right”
		6 \| “center left”
		7 \| “center right”
		8 \| “lower center”
		9 \| “upper center”
		10 \| “center”
legend_marker_alpha	float	alpha of the markers in the legend only	1	Alpha
legend_marker_size	float	marker size in legend only	same as ``marker_size`	Marker size
legend_points	int	number of points for each legend value	1	None
legend_title	str	legend title text	defaults to legend column name	None

The following base attributes of the Element class are not used for this item:

“Lines” category

size

Lines¶

Lines can be drawn to connect markers on a plot. By default the colors will be selected from the default color list:

The following keywords are related to lines elements:

Keyword	Data Type	Description	Default	Example
colors	hex color str or list of hex color strs	colors to use for lines and markers	default list	built-in color list
lines	boolean	toggle line visibility	True	None

The following base attributes of the Element class are not used for this item:

“Fill” category

“Edges” category

“Fonts” category

size

text

Markers¶

Markers are characters that represent the actual data points on a plot. fivecentplots comes with a built-in list of marker styles that are cycled through depending on the number of data sets displayed:

The marker type, size, and color/alpha are all completely customizable via marker_ keywords:

Keyword	Data Type	Description	Default	Example
markers	boolean or list of str characters	if `False`, turns off markers on the plot	default marker list	Markers
markers	boolean or list of str characters	if a list of characters, sets the markers to be used (one marker type per curve or data set)	default marker list	Markers
marker_fill	boolean	turn on/off marker fill	False	None
marker_edge_color	hex color str	set the marker edge color	match the line color scheme	None
marker_edge_width	float	set the marker edge width	1.5	None
marker_fill_color	hex color str	set the marker fill color (only rendered if `marker_fill=True`)	True	None
marker_jitter	boolean	add a random offset or jitter to the points around their x-value (useful for box plots)	`True for boxplots \| `False for all other plot types	None
marker_size	float	size of the markers (can be specified uniquely from the legend marker size)	7	Marker size

The following base attributes of the Element class are not used for this item:

“Lines” category

text

Reference Line¶

A reference line can be drawn on a plot via keywords with the ref_line_ prefix:

Keyword	Data Type	Description	Default	Example
color	hex color str	color of the reference line	#000000	Reference line
text	str	legend text for the reference line	“Ref Line”	Reference line

The following base attributes of the Element class are not used for this item:

“Fill” category

“Edges” category

“Fonts” category

size

Stats¶

Several options are available for graphically displaying statistical information about a given data set:

Keyword	Data Type	Description	Default	Example
conf_int	float	Add shading around a curve based on a given confidence interval from 0 to 1	None	` Confidence Intervals <plot.html#Confidence-intervals>`_
stat	str	Add a line through a data set where each y-value represents a computed statistic of the data at a given x-value. Options include: ‘mean’, ‘median’, ‘std’, ‘q25’ (25% quantile), etc	None	Stat lines example
stat_val	str	Column name to use instead of the given ‘x’ column for calculating the stat	None	Stat lines example

See Stat lines for examples.

Ticks¶

Tick marks are controlled using keywords beginning with ticks_ and are referenced to either the major or minor grid:

Keyword	Data Type	Description	Default	Example
ticks_<major\|minor>_color	hex color string	tick color	#ffffff	None
ticks_major_increment	float	for major ticks only, the increment between tick marks	#ffffff	`Grids and ticks<ticks.html#Increment>`_
ticks_major_length	float	the length in pixels of the major tick lines	6.2	None
ticks_minor_length	float	the length in pixels of the minor tick lines	4.2	None
tick_minor_number	int	enable primary y-axis range sharing across all subplots	True	`Grids and ticks<ticks.html#Increment>`_
ticks_major_width	float	thickness or edge width of a major tick mark	2.2	None
ticks_minor_width	float	thickness or edge width of a minor tick mark	1.3	None

To reference a specific axis, add the axis name (x, x2, y, y2, or z) to the keyword after the designation of the grid (i.e., ticks_major_x_increment or ticks_minor_y_width. If no axis is specified, the keyword is applied to all axes.

The following base attributes of the Element class are not used for this item:

“Fill” category

“Edges” category

“Fonts” category

size

text

Tick Labels¶

Tick labels or the text associated with a tick mark have the same attritubes as any other text label. Keywords begin with tick_labels_ followed by the major or minor grid and an option specification of the axis of interest. For example:

tick_labels_major_font_size
tick_labels_minor_x_rotation

See Labels for more details.

The following base attributes of the Element class are not used for this item:

“Lines” category

text

Title¶

The title element (shown on right in yellow) adds a title centered above the top of the plot(s). The title text is added directly via the title keyword:

title = 'IV Data'

title elements are styled using the base Element class attributes for fill color, edge color, and font. The “Lines” category of base attributes is not used for titles.

The following base attributes of the Element class are not used for this item:

“Lines” category

Whitespace¶

Whitespace keywords are prefixed by ws_ and are followed by the two items that sandwich the whitespace, going from left to right or top to bottom:

Category	Keyword	Data Type	Description	Default
Row/column grid	ws_label_col	int	col label to top edge of axes window	10
	ws_label_row		row label to right edge of axes window	10
	ws_col		space between columns	30
	ws_row		space between rows	30
Figure	ws_fig_label		left figure edge to ``label_y`	10
	ws_leg_fig		right legend edge to right figure edge	10
	ws_fig_ax		top figure edge to top edge of axes with figure title disabled	20
	ws_fig_title		top figure edge to top of figure title	10
Axes	ws_label_tick		space between axis label and tick labels	10
	ws_leg_ax		right edge of axes to left edge of legend box	20
	ws_ticks_ax		space between tick labels and axes	5
	ws_title_ax		bottom edge of title to top edge of axes window	10
	ws_ax_fig		right edge of axes to right edge of figure with legend disabled	30
Ticks	ws_tick_tick_minimum		minimum space between consecutive ticks	10
Boxplot	ws_ax_box_title		right edge of axes to right edge of box title text	10

Data¶

Some parameters of the plot are handled by the Data class in fivecentplots. This class is responsible for defining the unique groups for each plot, handling subplots, etc. These keywords are added to the plot function call just like element attribute keywords.

Keyword	Data Type	Description	Default	Example
auto_scale	True	enable/disable auto-scaling feature for one-side range	True	auto-scale
auto_scale	True	specification; not allowed for heatmap or histogram	True	auto-scale
col	str	name of DataFrame column to use for column-based subplots	None	column plot
fig_groups	str\|list of str	DataFrame column(s) to use for figure-level grouping	None	figure plots
filter	str	string-based DataFrame filter (similar to query in pandas)	None	see most plot examples
ncol	int	specify the number of columns in a wrap plot	try to make square grid	compare two cases
row	str	name of DataFrame column to use for row-based subplots	None	row plot
share_x	boolean	enable primary x-axis range sharing across all subplots	True	axis sharing
share_y	boolean	enable primary y-axis range sharing across all subplots	True
share_z	boolean	enable primary z-axis range sharing across all subplots	True
share_x2	boolean	enable secondary x-axis range sharing across all subplots	True
share_y2	boolean	enable secondary y-axis range sharing across all subplots	True
share_col	boolean	enable axis range sharing for all subplots in a column of subplots	False
share_row	boolean	enable axis range sharing for all subplots in a row of subplots	False
trans_x	str\|None	apply an axis transformation to a given axis	None	None
		options: ‘abs’, ‘negative’ or ‘neg’, ‘nq’ (normal quantile)
		inverse’ or ‘inv’, (‘pow’, int), ‘flip’
trans_x2	str\|None	same as `trans_x`	None	None
trans_y	str\|None	same as `trans_x`	None	None
trans_y2	str\|None	same as `trans_x`	None	None
trans_z	str\|None	same as `trans_x`	None	None
wrap	str\|list	name or list of names of DataFrame columns for wrap-type subplots	None	wrap plot

Other¶

Keyword	Data Type	Description	Default
filename	str	Name of the saved plot	Built automatically based on plot conditions
filepath	str	Directory in which the plot should be saved	Current directory
inline	boolean	Display the plot inline (in a jupyter notebook, using the matplotlib show command, etc)	True
print_filename	boolean	Print the filename and return the plot	False
return_filename	boolean	Return only the filename of the saved plot but not the plot itself	False
save	boolean	Save the image	True
save_ext	str	File extension for the saved plot	png
show	boolean	Open the saved plot (this is not the same as show in matplotlib)	False