6.4. Plot Styles

6.4.1. Axis naming

import matplotlib.pyplot as plt


x = [1,2,3]
y = [4,5,6]

plt.xlabel('X axis')
plt.ylabel('Y axis')

plt.plot(x, y)
plt.show()

6.4.2. Title

import matplotlib.pyplot as plt


x = [1,2,3]
y = [4,5,6]

plt.title('This is my chart')

plt.plot(x, y)
plt.show()
import matplotlib.pyplot as plt


x = [1,2,3]
y = [4,5,6]

plt.title('This is my chart\nSecond line')

plt.plot(x, y)
plt.show()

6.4.3. Legend

  • Good practice: always have labels

import matplotlib.pyplot as plt


x1 = [1,2,3]
y1 = [4,5,6]

x2 = [1,2,3]
y2 = [10,11,12]

plt.plot(x1, y1, label='first line')
plt.plot(x2, y2, label='second line')

plt.legend()
plt.show()

6.4.4. Colors

  • first color name letter (not recommended):

    • r - red

    • g - green

    • b - blue

    • c - cyan

    • m - magenta

    • y - yellow

    • k - karmin

    • w - white

  • color names (X11/CSS4):

  • hexadecimal code (RGB or RGBA):

    • #FF0000 - red

    • #00FF00 - green

    • #0000FF - blue

    • #FF000033 - semi-transparent red

  • tuple (RGB or RGBA):

    • (0.1, 0.2, 0.5)

    • (0.1, 0.2, 0.5, 0.3)

plt.bar(x1, y1, label='Bars 1', color='blue')
plt.bar(x2, y2, label='Bars 2', color='red')

6.4.5. Line styles

../../_images/style-line-basic.png

Figure 6.4. Basic line styles

../../_images/style-line-advanced.png

Figure 6.5. Advanced line styles

pylab.plot(x, y, color="red", linestyle='--')
Table 6.4. fmt parameters

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

6.4.6. Line2D parameters

Table 6.5. Line2D parameters

Property

Value Type

alpha

float

animated

[True | False]

antialiased or aa

[True | False]

clip_box

a matplotlib.transform.Bbox instance

clip_on

[True | False]

clip_path

a Path instance and a Transform instance, a Patch

color or c

any matplotlib color

contains

the hit testing function

dash_capstyle

['butt' | 'round' | 'projecting']

dash_joinstyle

['miter' | 'round' | 'bevel']

dashes

sequence of on/off ink in points

data

(np.array xdata, np.array ydata)

figure

a matplotlib.figure.Figure instance

label

any string

linestyle or ls

[ '-' | '--' | '-.' | ':' | 'steps' | ...]

linewidth or lw

float value in points

lod

[True | False]

marker

[ '+' | ',' | '.' | '1' | '2' | '3' | '4' ]

markeredgecolor or mec

any matplotlib color

markeredgewidth or mew

float value in points

markerfacecolor or mfc

any matplotlib color

markersize or ms

float

markevery

[ None | integer | (startind, stride) ]

picker

used in interactive line selection

pickradius

the line pick selection radius

solid_capstyle

['butt' | 'round' | 'projecting']

solid_joinstyle

['miter' | 'round' | 'bevel']

transform

a matplotlib.transforms.Transform instance

visible

[True | False]

xdata

np.array

ydata

np.array

zorder

any number