matplotlib.pyplot.plot(*args, **kwargs)?Plot lines and/or markers to the Axes. args is a variable length argument, allowing for multiple x, y pairs with an optional format string. For example, each of the following is legal:
plot(x, y) # plot x and y using default line style and color plot(x, y, 'bo') # plot x and y using blue circle markers plot(y) # plot y using x as index array 0..N-1 plot(y, 'r+') # ditto, but with red plusses
If x and/or y is 2-dimensional, then the corresponding columns will be plotted.
An arbitrary number of x, y, fmt groups can be specified, as in:
a.plot(x1, y1, 'g^', x2, y2, 'g-')
Return value is a list of lines that were added.
By default, each line is assigned a different color specified by a ‘color cycle’. To change this behavior, you can edit the axes.color_cycle rcParam.
The following format string characters are accepted to control the line style or marker:
| character | description |
|---|---|
'-' |
solid line style |
'--' |
dashed line style |
'-.' |
dash-dot line style |
':' |
dotted line style |
'.' |
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 |
The following color abbreviations are supported:
| character | color |
|---|---|
| ‘b’ | blue |
| ‘g’ | green |
| ‘r’ | red |
| ‘c’ | cyan |
| ‘m’ | magenta |
| ‘y’ | yellow |
| ‘k’ | black |
| ‘w’ | white |
In addition, you can specify colors in many weird and
wonderful ways, including full names ('green'), hex
strings ('#008000'), RGB or RGBA tuples ((0,1,0,1)) or
grayscale intensities as a string ('0.8'). Of these, the
string specifications can be used in place of a fmt group,
but the tuple forms can be used only as kwargs.
Line styles and colors are combined in a single format string, as in
'bo' for blue circles.
The kwargs can be used to set line properties (any property that has
a set_* method). You can use this to set a line label (for auto
legends), linewidth, anitialising, marker face color, etc. Here is an
example:
plot([1,2,3], [1,2,3], 'go-', label='line 1', linewidth=2) plot([1,2,3], [1,4,9], 'rs', label='line 2') axis([0, 4, 0, 10]) legend()
If you make multiple lines with one plot command, the kwargs apply to all those lines, e.g.:
plot(x1, y1, x2, y2, antialised=False)
Neither line will be antialiased.
You do not need to use format strings, which are just abbreviations. All of the line properties can be controlled by keyword arguments. For example, you can set the color, marker, linestyle, and markercolor with:
plot(x, y, color='green', linestyle='dashed', marker='o',
markerfacecolor='blue', markersize=12).
See Line2D for details.
The kwargs are Line2D properties:
Property Description agg_filter unknown alpha float (0.0 transparent through 1.0 opaque) animated [True | False] antialiased or aa [True | False] axes an Axes instance clip_box a matplotlib.transforms.Bbox instance clip_on [True | False] clip_path [ (Path, Transform) | Patch | None ] color or c any matplotlib color contains a callable function dash_capstyle [‘butt’ | ‘round’ | ‘projecting’] dash_joinstyle [‘miter’ | ‘round’ | ‘bevel’] dashes sequence of on/off ink in points drawstyle [‘default’ | ‘steps’ | ‘steps-pre’ | ‘steps-mid’ | ‘steps-post’] figure a matplotlib.figure.Figure instance fillstyle [‘full’ | ‘left’ | ‘right’ | ‘bottom’ | ‘top’ | ‘none’] gid an id string label string or anything printable with ‘%s’ conversion. linestyle or ls [ '-'|'--'|'-.'|':'|'None'|' '|'']linewidth or lw float value in points lod [True | False] marker unknown markeredgecolor or mec any matplotlib color markeredgewidth or mew float value in points markerfacecolor or mfc any matplotlib color markerfacecoloralt or mfcalt any matplotlib color markersize or ms float markevery unknown path_effects unknown picker float distance in points or callable pick function fn(artist, event)pickradius float distance in points rasterized [True | False | None] sketch_params unknown snap unknown solid_capstyle [‘butt’ | ‘round’ | ‘projecting’] solid_joinstyle [‘miter’ | ‘round’ | ‘bevel’] transform a matplotlib.transforms.Transform instance url a url string visible [True | False] xdata 1D array ydata 1D array zorder any number
kwargs scalex and scaley, if defined, are passed on to autoscale_view() to determine whether the x and y axes are autoscaled; the default is True.
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