برگه تقلب Matplotlib؛ Matplotlib Cheat Sheet

import numpy as np
x = np.linspace(0, 10, 100)
y = np.cos(x)
z = np.sin(x)

data = 2 * np.random.random((10, 10))
data2 = 3 * np.random.random((10, 10))
Y, X = np.mgrid[-3:3:100j, -3:3:100j]
U = 1 X** 2 + Y
V = 1 + X Y**2
from matplotlib.cbook import get_sample_data
img = np.load(get_sample_data('axes_grid/bivariate_normal.npy'))

import matplotlib.pyplot as plt

fig = plt.figure()
fig2 = plt.figure(figsize=plt.figaspect(2.0))

fig.add_axes()
ax1 = fig.add_subplot(221) #row-col-num
ax3 = fig.add_subplot(212)
fig3, axes = plt.subplots(nrows=2,ncols=2)
fig4, axes2 = plt.subplots(ncols=3)

plt.savefig('foo.png') #Save figures
plt.savefig('foo.png', transparent=True) #Save transparent figures

plt.show()

fig, ax = plt.subplots()
lines = ax.plot(x,y) #Draw points with lines or markers connecting them
ax.scatter(x,y) #Draw unconnected points, scaled or colored
axes[0,0].bar([1,2,3],[3,4,5]) #Plot vertical rectangles (constant width)
axes[1,0].barh([0.5,1,2.5],[0,1,2]) #Plot horiontal rectangles (constant height)
axes[1,1].axhline(0.45) #Draw a horizontal line across axes
axes[0,1].axvline(0.65) #Draw a vertical line across axes
ax.fill(x,y,color='blue') #Draw filled polygons
ax.fill_between(x,y,color='yellow') #Fill between y values and 0

fig, ax = plt.subplots()
im = ax.imshow(img, #Colormapped or RGB arrays
cmap= 'gist_earth', 
interpolation= 'nearest',
vmin=-2,
vmax=2)
axes2[0].pcolor(data2) #Pseudocolor plot of 2D array
axes2[0].pcolormesh(data) #Pseudocolor plot of 2D array
CS = plt.contour(Y,X,U) #Plot contours
axes2[2].contourf(data1) #Plot filled contours
axes2[2]= ax.clabel(CS) #Label a contour plot

axes[0,1].arrow(0,0,0.5,0.5) #Add an arrow to the axes
axes[1,1].quiver(y,z) #Plot a 2D field of arrows
axes[0,1].streamplot(X,Y,U,V) #Plot a 2D field of arrows

ax1.hist(y) #Plot a histogram
ax3.boxplot(y) #Make a box and whisker plot
ax3.violinplot(z) #Make a violin plot

import matplotlib.pyplot as plt
x = [1,2,3,4] #Step 1
y = [10,20,25,30] 
fig = plt.figure() #Step 2
ax = fig.add_subplot(111) #Step 3
ax.plot(x, y, color= 'lightblue', linewidth=3) #Step 3, 4
ax.scatter([2,4,6],
[5,15,25],
color= 'darkgreen',
marker= '^' )
ax.set_xlim(1, 6.5)
plt.savefig('foo.png' ) #Step 5
plt.show() #Step 6

plt.cla() #Clear an axis
plt.clf(). #Clear the entire figure
plt.close(). #Close a window

plt.plot(x, x, x, x**2, x, x** 3)
ax.plot(x, y, alpha = 0.4)
ax.plot(x, y, c= 'k')
fig.colorbar(im, orientation= 'horizontal')
im = ax.imshow(img,
cmap= 'seismic' )

fig, ax = plt.subplots()
ax.scatter(x,y,marker= ".")
ax.plot(x,y,marker= "o")

plt.plot(x,y,linewidth=4.0)
plt.plot(x,y,ls= 'solid') 
plt.plot(x,y,ls= '--') 
plt.plot(x,y,'--' ,x**2,y**2,'-.' ) 
plt.setp(lines,color= 'r',linewidth=4.0)

ax.text(1,
-2.1, 
'Example Graph', 
style= 'italic' )
ax.annotate("Sine", 
xy=(8, 0),
xycoords= 'data', 
xytext=(10.5, 0),
textcoords= 'data', 
arrowprops=dict(arrowstyle= "->", 
connectionstyle="arc3"),)

plt.title(r '$sigma_i=15$', fontsize=20)

ax.margins(x=0.0,y=0.1) #Add padding to a plot
ax.axis('equal') #Set the aspect ratio of the plot to 1
ax.set(xlim=[0,10.5],ylim=[-1.5,1.5]) #Set limits for x-and y-axis
ax.set_xlim(0,10.5) #Set limits for x-axis

ax.set(title= 'An Example Axes', #Set a title and x-and y-axis labels
ylabel= 'Y-Axis', 
xlabel= 'X-Axis')
ax.legend(loc= 'best') #No overlapping plot elements

ax.xaxis.set(ticks=range(1,5), #Manually set x-ticks
ticklabels=[3,100, 12,"foo" ])
ax.tick_params(axis= 'y', #Make y-ticks longer and go in and out
direction= 'inout', 
length=10)

fig3.subplots_adjust(wspace=0.5,
hspace=0.3,
left=0.125,
right=0.9,
top=0.9,
bottom=0.1)
fig.tight_layout() #Fit subplot(s) in to the figure area

ax1.spines[ 'top'].set_visible(False) #Make the top axis line for a plot invisible
ax1.spines['bottom' ].set_position(( 'outward',10)) #Move the bottom axis line outward