import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
x = np.linspace(0,6,80)
y = np.exp(-x)*np.sin(4*x)
plt.plot(x,y); # use ";" on last plot command
# (if that is the last cell command)
# to suppress output: [<matplotlib.lines.Line2D at 0x1113b8e80>]
plt.plot(x,y+1, 'ko-' ) # linestyle: k is black, o is symbol, - is solid line
# Other colors: b,r,g,c,m; other lines: --, -., : other symbols: .s^v*dpx+<>h
plt.xlabel('The x-axis label')
plt.ylabel('The y-axis label', fontsize=16)
plt.title('Some title');
plt.plot(x, y+0.5, '--', color='black', linewidth=2)
plt.plot(x[1:], 1/x[1:]**0.2, 'x-', color='blue', markersize=6)
plt.yscale('log')
plt.xlim([0,6])
plt.ylim([0.1,10])
plt.xlabel(r'With Symbols: $\alpha_{s}\beta^{s}$', fontsize=20)
plt.ylabel('some label', fontsize=20)
plt.legend(['curve 1', 'curve2'], fontsize=16, frameon=False, loc='upper left');
plt.rc("font", size=10) # Set all font sizes
plt.subplot(2,2,1) # rows, cols, active; where active is the plot that is currently active
plt.plot(x,y)
plt.subplot(2,2,2) # add labels, legends to each subplot separately
plt.plot(x,y*x)
plt.xlabel('my x') # format each plot as previously shown
plt.subplot(2,2,3)
plt.plot(x,np.sqrt(x))
plt.subplot(2,2,4)
plt.plot(x,1/(x+1))
plt.tight_layout() # keep labels from overlapping
#--------- Set the X,Y,Z data
Lx = 6
Ly = 6
nx = 100
ny = 100
x = np.linspace(-Lx/2,Lx/2,nx)
y = np.linspace(-Ly/2,Ly/2,ny)
X,Y = np.meshgrid(x,y)
Z = np.sin(2*X)*np.sin(3*Y)*X/Y*np.exp(np.abs(Y))
#---------- make the plot
plt.subplot(1,2,1)
plt.contour(X,Y,Z,20) # 20 is the number of contour levels chosen
plt.subplot(1,2,2)
plt.contourf(X,Y,Z,20) # contourf is a filled contour plot
plt.colorbar(); # add a colorbar for the Z scale
import numpy as np
import matplotlib # for saving to pdf
matplotlib.use('PDF') # for saving to pdf
import matplotlib.pyplot as plt
%matplotlib inline
x = np.linspace(0,10,25)
y_exp = x**0.6 + (np.random.rand(25) -0.5) # ploting data series below
y_1 = x**0.6
y_2 = np.sin(x)*2
y_3 = np.exp(-0.2*x)*np.cos(2*x)*2
fig, ax = plt.subplots(1,1, figsize=(7,5)) # create a figure and axes
plt.rcParams.update({'font.size': 18}) # change all font sizes (specialize below)
ax.tick_params(direction='in', top=True, right=True)
ax.plot(x, y_1, '-', color='gray', linewidth=4)
ax.plot(x, y_2, '--', color='blue', linewidth=1)
ax.plot(x, y_3, ':', color='red', linewidth=1)
ax.plot(x, y_exp, 'o', color='black', markersize=6);
ax.set_xlabel(r"$v_{rms} + \theta$", fontsize=20)
ax.set_ylabel("position", fontsize=20)
ax.set_xlim([0,10])
ax.set_ylim([-2,6])
ax.legend(["T (K)",
r"$\Delta_{max}=2$",
r"$\rho$ (kg/m$^3$)",
"Exp"], loc='upper left', frameon=False, fontsize=16);
plt.savefig("plot.pdf") # for saving file plot.pdf