Legend - Matplotlib — Visualization with Python
Scales
Basic plots
Cheat sheet
plot([X], Y, [fmt], )
X, Y, fmt, color, marker, linestyle
Version 3.7.4
Quick start
scatter(X, Y, )
X, Y, [s]izes, [c]olors, marker, cmap
API
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
imshow(Z, )
API
Z, cmap, interpolation, extent, origin
+
contour[f]([X], [Y], Z, )
X, Y, Z, levels, colors, extent, origin
fig.savefig(figure.pdf)
plt.show()
pcolormesh([X], [Y], Z, )
X, Y, Z, vmin, vmax, cmap
Anatomy of a figure
Title
Projections
quiver([X], [Y], U, V, )
X, Y, U, V, C, units, angles
Blue signal
Red signal
Legend
pie(X, )
Z, explode, labels, colors, radius
3
Grid
Y axis label
p=3d
T
TEX
Markers
(scatter plot)
2.0
2.5
3.0
3.5
4.0
4.5
5.0
5
ticker.LinearLocator(numticks=3)
API
API
0
p=ccrs.Orthographic()
import cartopy.crs as ccrs
API
2.5
5.0
ticker.IndexLocator(base=0.5, offset=0.25)
0.75
1.25
1.75
2.25
2.75
3.25
ticker.AutoLocator()
1
2
3.75
3
1.5
4.25
4.75
4
5
3.0
104
103
105
Styles
4.5
107
106
108
1010
Tick formatters
Lines
API
API
"-"
":"
API
"-."
(0,(0.01,2))
0.5
0.0
0.0
"butt"
API
"projecting"
Spines
Subplots layout
API
subplot[s](rows, cols, ) API
fig, axs = plt.subplots(3, 3)
G = gridspec(rows,cols, )
ax = G[0, :]
API
ax.inset_axes(extent)
API
d=make_axes_locatable(ax) API
ax = d.new_horizontal(10%)
step(X, Y, [fmt], )
X, Y, fmt, color, marker, where
API
boxplot(X, )
X, notch, sym, bootstrap, widths
API
errorbar(X,Y,xerr,yerr, )
X, Y, xerr, yerr, fmt
API
hist(X, bins, )
X, bins, range, density, weights
'o'
's'
'P'
'X'
'*'
'p'
'D'
''
'^'
'v'
'1'
'2'
'3'
'4'
'+'
'x'
'|'
'_'
4
5
6
7
(25, 5)
[0, 25, -1]
Colors
violinplot(D, )
D, positions, widths, vert
API
barbs([X], [Y], U, V, )
X, Y, U, V, C, length, pivot, sizes
API
eventplot(positions, )
positions, orientation, lineoffsets
API
three
four
five
[2.00]
[3.00]
[4.00]
[5.00]
ticker.FormatStrFormatter('>%d ................
................
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