Legend - VUB
Scales
P. ROUGIER
Basic plots
API
DESIGNED BY NICOLAS
756
432
0.0
0.0
1
2.5
2.5 10 1 logit
symlog
2
0
2
Quick start
765 1234567 X,scatter(X,Y,¡)
0.0
0.0
Y, [s]izes, [c]olors, markers, cmap
any values
0 < values < 1
423
import numpy as np
2.5 1000100
2.5 1
1
import matplotlib as mpl
2
import matplotlib.pyplot as plt
Projections
6754 1234567 x,bar[h](x,height,¡)
height, width, bottom, align, color
321
subplot(¡,projection=p)
X = np.linspace(0, 2*np.pi, 100)
p=¡¯polar¡¯
p=¡¯3d¡¯
765 1234567 imshow(Z,[cmap],¡)
Y = np.cos(X)
Z, cmap, interpolation, extent, origin
3421
fig, ax = plt.subplots()
ax.plot(X,Y,color=¡¯C1¡¯)
p=Orthographic()
6754 1234567 contour[f]([X],[Y],Z?¡)
from cartopy.crs import Cartographic
X, Y, Z, levels, colors, extent, origin
fig.savefig(¡°figure.pdf¡±)
3
21
fig.show()
765 1234567 quiver([X],[Y],U,V,¡)
X, Y, U, V, C, units, angles
Lines
Anatomy of a figure
3421
linestyle or ls
765 1234567 pie(X,[explode],¡)
Anatomy of a figure
Z, explode, labels, colors, radius
432
capstyle or dash_capstyle
1
text(x,y,text,¡)
765 1234567T x, y, text, va, ha, size, weight, transform
432 TEX
Markers
1
¡ )
765 1234567 X,fill[_between][x](
Y1, Y2, color, where
432
1
1234567
Advanced plots
step(X,Y,[fmt],¡)
765
X, Y, fmt, color, marker, where
10
[0, -1]
(25, 5)
[0, 25, -1]
432
1
765 1234567 X,boxplot(X,¡)
Colors
notch, sym, bootstrap, widths
432
Subplots layout
1
765 246 X,errorbar(X,Y,xerr,yerr,¡)
subplot[s](cols,rows,¡)
Y, xerr, yerr, fmt
fig, axs = plt.subplots(3,3) 4
312
bins, ¡)
71
61
1234567 X,hist(X,
G = gridspec(cols,rows,¡)
bins, range, density, weights
51
41
ax = G[0,:]
31
Colormaps
21
111
plt.get_cmap(name)
765 1234567 violinplot(D,¡)
ax.inset_axes(extent)
D, positions, widths, vert
423
Uniform
1
U, V, ¡)
6754 1234567 barbs([X],[Y],
d=make_axes_locatable(ax)
X, Y, U, V, C, length, pivot, sizes
ax=d.new_horizontal(¡¯10%¡¯)
321
Sequential
765 1234567 eventplot(positions,¡)
positions, orientation, lineoffsets
423
Diverging
Getting help
1
hexbin(X,Y,C,¡)
6754 1234567 X, Y, C, gridsize, bins
matplotlib/matplotlib/issues
321
discourse.
Qualitative
matplotlib
0.2500
xcorr(X,Y,¡)
0.1875
0.1250
gitter.im/matplotlib
1234567 X, Y, normed, detrend
0.0625
0.0000
matplotlib
Cyclic
0.0625
0.1250
Matplotlib users mailing list
0.1875
0.2500
Cheat sheet
Version 3.2
API
plot([X],Y,[fmt],¡)
X, Y, fmt, color, marker, linestyle
API
ax.set_[xy]scale(scale,¡)
linear
log
+ any values
0
+ values > 0
API
-
+
0
1
API
API
API
API
API
API
"-"
4
Title
Blue signal
Red signal
Legend
":"
"--"
"butt"
API
Minor tick
"-."
"round"
(0,(0.01,2))
"projecting"
3
Major tick label
Grid
API
Y axis label
Line
(line plot)
API
2
Y axis label
Markers
(scatter plot)
1
Figure
0
'.'
'o'
's'
'P'
'X'
'*'
'p'
'D'
''
'^'
'v'
'1'
'2'
'3'
'4'
'+'
'x'
'|'
'_'
4
5
6
7
'$ $''$ $''$ $''$ $''$ $''$ $''$ $''$ $''$ $''$ $''$ $''$ $'
Axes
Line
(line plot)
API
Spines
0 0.25 0.50 0.75 1 1.25 1.50 1.75 2 2.25 2.50 2.75 3 3.25 3.50 3.75 4
X axis label
Minor tick label
X axis label
markevery
API
API
API
API
API
API
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
ticker.FixedLocator([0, 1, 5])
0
1
5
ticker.LinearLocator(numticks=3)
0.0
2.5
5.0
ticker.IndexLocator(base=0.5, offset=0.25)
0.25
0.75
1.25
1.75
2.25
2.75
3.25
ticker.AutoLocator()
0
1
2
ticker.MaxNLocator(n=4)
0.0
3.75
3
1.5
4.25
4.75
4
5
3.0
Styles
4.5
ticker.LogLocator(base=10, numticks=15)
104
103
105
107
106
108
109
API
API
API
Greys
YlOrBr
Wistia
API
API
API
Spectral
coolwarm
RdGy
tab10
tab20
twilight
0.5
0.0
0.0
0.5
1.0
0
1
2
3
4
5
1.0
6
ggplot
0.25 0.50 1 0.75
0
0.25 2 0.50 0.75
3 0.25 0.50 0.75 4
[1.00]
[2.00]
[3.00]
[4.00]
ticker.FormatStrFormatter('>%d ................
................
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