Python3 Drawing Library Matplotlib (02)

Control color

Color	Color Name
B	Blue
C	Cyan
G	Green
K	Black
M	Magenta
R	Red
W	White
Y	Yellow

Plt.plot (x1, y1, fmt1, x2, y2, fmt2, ...) Style of the control line

Style	Style
-	Solid line
--	Dashed line
-.	Dash-dot Line
:	Dotted line

Control marker Style

.	Point marker
,	Pixel Marker
O	Circle Marker
V	Triangle down
^	Triangle up Marker
<	Triangle left Marker
>	Triangle Right Marker
1	Tripod down Marker
2	Tripod up Marker
3	Tripod left Marker
4	Tripod Right Marker
S	Square Marker
P	Pentagon Marker
*	Star Marker
H	Hexagon Marker
H	Rotated hexagon Marker
+	Plus Marker
X	Cross Marker
D	Diamond Marker
D	Thin Diamond Marker
|	Vertical Line
_	Horizontal line

Use keyword parameters for better control of ticks label values for x and y plotting type histogram chart = Histogram Charts error Bar Chartsbar Charts This summary code example

Import Matplotlib.pyplot as Pltimport numpy as Npy = Np.arange (1, 3) plt.plot (y, ' y ') plt.plot (y+1, ' m ') plt.plot (y+2, ' c ') pl T.show () Import Matplotlib.pyplot as Pltimport numpy as Npy = Np.arange (1, 3) plt.plot (Y, '--', y+1, '-. ', y+2, ': ') plt.show () Import Matplotlib.pyplot as Pltimport numpy as Npy = Np.arange (1, 3, 0.2) plt.plot (y, ' x ', y+0.5, ' O ', y+1, ' D ', y+1.5, ' ^ ', y+2, ' s ') plt.show () import Matplotlib.pyplot as Pltimport numpy as Npy = Np.arange (1, 3, 0.3) Plt.plot (y, ' cx--', y+1, ' MO: ', y+2, ' kp-. ') Plt.show () Import Matplotlib.pyplot as Pltimport numpy as Npy = Np.arange (1, 3, 0.3) Plt.plot (y, color= ' blue ', linestyle= ' da Shdot ', linewidth=4, marker= ' o ', markerfacecolor= ' red ', markeredgecolor= ' black ', markeredgewidth=3, marker size=12) plt.show () import matplotlib.pyplot as Pltx = [5, 3, 7, 2, 4, 1]plt.plot (x) plt.xticks (range (len (x)), [' A ', ' B ', ' C ' , ' d ', ' e ', ' f ']) Plt.yticks (range (1, 8, 2)) plt.show () import Matplotlib.pyplot as Pltimport numpy as Npy = Np.random.randn ( ) pLt.hist (y) plt.show () plt.hist (y, x) plt.show () import Matplotlib.pyplot as Pltimport numpy as Npx = Np.arange (0, 4, 0.2) y = Np.exp (-X) e1 = 0.1 * Np.abs (NP.RANDOM.RANDN (len (y))) Plt.errorbar (x, Y, yerr=e1, fmt= '.-') plt.show () e2 = 0.1 * Np.abs (NP.R Andom.randn (len (y))) Plt.errorbar (x, Y, Yerr=e1, xerr=e2, fmt= '.-', capsize=0) plt.show () Plt.errorbar (x, Y, Yerr=[e1, E2 ], fmt= '.-') plt.show () Import Matplotlib.pyplot as Pltplt.bar ([1, 2, 3], [3, 2, 5]) plt.show () import matplotlib.pyplot as Pl Timport numpy as Npdata1 = 10*np.random.rand (5) data2 = 10*np.random.rand (5) data3 = 10*np.random.rand (5) e2 = 0.5*np.abs (NP . RANDOM.RANDN (Len (data2))) Locs = Np.arange (1, Len (data1) +1) width = 0.27plt.bar (locs+width, data2, Yerr=e2, Width=width , color= ' red ') Plt.bar (Locs+2*width, data3, width=width, color= ' green ') plt.show ()

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Python3 Drawing Library Matplotlib (02)