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import matplotlib.pyplot as plt%matplotlib inlineplt.plot([1,2,3,4])

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plt.plot([1,2,3,4],[1,4,9,16],‘ro‘)

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plt.axis([0,5,0,20])plt.title(‘My first plot‘)plt.plot([1,2,3,4],[1,4,9,16],‘ro‘)

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import mathimport numpy as npt = np.arange(0,2.5,0.1)y1 = list(map(math.sin,math.pi*t))y2 = list(map(math.sin,math.pi*t+math.pi/2))y3 = list(map(math.sin,math.pi*t-math.pi/2))plt.plot(t,y1,‘b*‘,t,y2,‘g^‘,t,y3,‘ys‘)

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plt.plot(t,y1,‘b--‘,t,y2,‘g‘,t,y3,‘r-.‘)

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plt.plot([1,2,4,2,1,0,1,2,1,4],linewidth=2.0)

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t = np.arange(0,5,0.1)y1 = np.sin(2*np.pi*t)y2 = np.sin(2*np.pi*t)

plt.subplot(211)plt.plot(t,y1,‘b-.‘)plt.subplot(212)plt.plot(t,y2,‘r--‘)

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t = np.arange(0.,1.,0.05)y1 = np.sin(2*np.pi*t)y2 = np.cos(2*np.pi*t)

plt.subplot(121)plt.plot(t,y1,‘b-.‘)plt.subplot(122)plt.plot(t,y2,‘r--‘)

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plt.axis([0,5,0,20])plt.title(‘My first plot‘)plt.xlabel(‘Counting‘)plt.ylabel(‘Square values‘)plt.plot([1,2,3,4],[1,4,9,16],‘ro‘)

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plt.axis([0,5,0,20])plt.title(‘My first plot‘,fontsize=20,fontname=‘Times New Roman‘)plt.xlabel(‘Counting‘,color=‘gray‘)plt.ylabel(‘Square values‘,color=‘gray‘)plt.plot([1,2,3,4],[1,4,9,16],‘ro‘)

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plt.axis([0,5,0,20])plt.title(‘My first plot‘,fontsize=20,fontname=‘Times New Roman‘)plt.xlabel(‘Counting‘,color=‘gray‘)plt.ylabel(‘Square values‘,color=‘gray‘)plt.text(1,1.5,‘First‘)plt.text(2,4.5,‘Second‘)plt.text(3,9.5,‘Third‘)plt.text(4,16.5,‘Fourth‘)plt.plot([1,2,3,4],[1,4,9,16],‘ro‘)

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plt.axis([0,5,0,20])plt.title(‘My first plot‘,fontsize=20,fontname=‘Times New Roman‘)plt.xlabel(‘Counting‘,color=‘gray‘)plt.ylabel(‘Square values‘,color=‘gray‘)plt.text(1,1.5,‘First‘)plt.text(2,4.5,‘Second‘)plt.text(3,9.5,‘Third‘)plt.text(4,16.5,‘Fourth‘)plt.text(1.1,12,r‘$y = x^2$‘,fontsize=20,bbox={‘facecolor‘:‘yellow‘,‘alpha‘:0.2})plt.plot([1,2,3,4],[1,4,9,16],‘ro‘)

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plt.axis([0,5,0,20])plt.title(‘My first plot‘,fontsize=20,fontname=‘Times New Roman‘)plt.xlabel(‘Counting‘,color=‘gray‘)plt.ylabel(‘Square values‘,color=‘gray‘)plt.text(1,1.5,‘First‘)plt.text(2,4.5,‘Second‘)plt.text(3,9.5,‘Third‘)plt.text(4,16.5,‘Fourth‘)plt.text(1.1,12,r‘$y = x^2$‘,fontsize=20,bbox={‘facecolor‘:‘yellow‘,‘alpha‘:0.2})plt.grid(True)plt.plot([1,2,3,4],[1,4,9,16],‘ro‘)

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plt.axis([0,5,0,20])plt.title(‘My first plot‘,fontsize=20,fontname=‘Times New Roman‘)plt.xlabel(‘Counting‘,color=‘gray‘)plt.ylabel(‘Square values‘,color=‘gray‘)plt.text(2,4.5,‘Second‘)plt.text(3,9.5,‘Third‘)plt.text(4,16.5,‘Fourth‘)plt.text(1.1,12,‘$y = x^2$‘,fontsize=20,bbox={‘facecolor‘:‘yellow‘,‘alpha‘:0.2})plt.grid(True)plt.plot([1,2,3,4],[1,4,9,16],‘ro‘)plt.legend([‘First series‘])

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import matplotlib.pyplot as pltplt.axis([0,5,0,20])plt.title(‘My first plot‘,fontsize=20,fontname=‘Times New Roman‘)plt.xlabel(‘Counting‘,color=‘gray‘)plt.ylabel(‘Square values‘,color=‘gray‘)plt.text(1,1.5,‘First‘)plt.text(2,4.5,‘Second‘)plt.text(3,9.5,‘Third‘)plt.text(4,16.5,‘Fourth‘)plt.text(1.1,12,‘$y = x^2$‘,fontsize=20,bbox={‘facecolor‘:‘yellow‘,‘alpha‘:0.2})plt.grid(True)plt.plot([1,2,3,4],[1,4,9,16],‘ro‘)plt.plot([1,2,3,4],[0.8,3.5,8,15],‘g^‘)plt.plot([1,2,3,4],[0.5,2.5,4,12],‘b*‘)plt.legend([‘First series‘,‘Second series‘,‘Third series‘],loc=2)

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plt.axis([0,5,0,20])plt.title(‘My first plot‘,fontsize=20,fontname=‘Times New Roman‘)plt.xlabel(‘Counting‘,color=‘gray‘)plt.ylabel(‘Square values‘,color=‘gray‘)plt.text(1,1.5,‘First‘)plt.text(2,4.5,‘Second‘)plt.text(3,9.5,‘Third‘)plt.text(4,16.5,‘Fourth‘)plt.text(1.1,12,‘$y = x^2$‘,fontsize=20,bbox={‘facecolor‘:‘yellow‘,‘alpha‘:0.2})plt.grid(True)plt.plot([1,2,3,4],[1,4,9,16],‘ro‘)plt.plot([1,2,3,4],[0.8,3.5,8,15],‘g^‘)plt.plot([1,2,3,4],[0.5,2.5,4,12],‘b*‘)plt.legend([‘First series‘,‘Second series‘,‘Third series‘],loc=2)plt.savefig(‘my_chart.png‘)

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import datetimeimport numpy as npimport matplotlib.pyplot as pltevents = [datetime.date(2015,1,23),datetime.date(2015,1,28),datetime.date(2015,2,3),datetime.date(2015,2,21),datetime.date(2015,3,15),datetime.date(2015,3,24),datetime.date(2015,4,8),datetime.date(2015,4,24)]readings = [12,22,25,20,18,15,17,14]plt.plot(events,readings)

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import datetimeimport numpy as npimport matplotlib.pyplot as pltimport matplotlib.dates as mdatesmonths = mdates.MonthLocator()days = mdates.DayLocator()timeFmt = mdates.DateFormatter(‘%Y-%m‘)events = [datetime.date(2015,1,23),datetime.date(2015,1,28),datetime.date(2015,2,3),datetime.date(2015,2,21),datetime.date(2015,3,15),datetime.date(2015,3,24),datetime.date(2015,4,8),datetime.date(2015,4,24)]readings = [12,22,25,20,18,15,17,14]fig, ax = plt.subplots()plt.plot(events,readings)ax.xaxis.set_major_locator(months)ax.xaxis.set_major_formatter(timeFmt)ax.xaxis.set_minor_locator(days)

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import matplotlib.pyplot as pltimport numpy as npx = np.arange(-2*np.pi,2*np.pi,0.01)y = np.sin(3*x)/xplt.plot(x,y)

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import matplotlib.pyplot as pltimport numpy as npx = np.arange(-2*np.pi,2*np.pi,0.01)y = np.sin(x)/xy2 = np.sin(2*x)/xy3 = np.sin(3*x)/xplt.plot(x,y)plt.plot(x,y2)plt.plot(x,y3)

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import matplotlib.pyplot as pltimport numpy as npx = np.arange(-2*np.pi,2*np.pi,0.01)y = np.sin(x)/xy2 = np.sin(2*x)/xy3 = np.sin(3*x)/xplt.plot(x,y,‘k--‘,linewidth=3)plt.plot(x,y2,‘m-.‘)plt.plot(x,y3,color=‘#87a3cc‘,linestyle=‘--‘)

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import matplotlib.pyplot as pltimport numpy as npx = np.arange(-2*np.pi,2*np.pi,0.01)y = np.sin(3*x)/xy2 = np.sin(2*x)/xy3 = np.sin(x)/xplt.plot(x,y,color=‘b‘)plt.plot(x,y2,color=‘r‘)plt.plot(x,y3,color=‘g‘)plt.xticks([-2*np.pi, -np.pi, 0, np.pi, 2*np.pi],[r‘$-2\pi$‘,r‘$-\pi$‘,r‘$0$‘,r‘$+\pi$‘,r‘$+2\pi$‘])plt.yticks([-1,0,+1,+2,+3],[r‘$-1$‘,r‘$0$‘,r‘$+1$‘,r‘$+2$‘,r‘$+3$‘])

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import matplotlib.pyplot as pltimport numpy as npx = np.arange(-2*np.pi,2*np.pi,0.01)y = np.sin(3*x)/xy2 = np.sin(2*x)/xy3 = np.sin(x)/xplt.plot(x,y,color=‘b‘)plt.plot(x,y2,color=‘r‘)plt.plot(x,y3,color=‘g‘)plt.xticks([-2*np.pi, -np.pi, 0, np.pi, 2*np.pi],[r‘$-2\pi$‘,r‘$-\pi$‘,r‘$0$‘,r‘$+\pi$‘,r‘$+2\pi$‘])plt.yticks([-1,0,+1,+2,+3],[r‘$-1$‘,r‘$0$‘,r‘$+1$‘,r‘$+2$‘,r‘$+3$‘])ax = plt.gca()ax.spines[‘right‘].set_color(‘none‘)ax.spines[‘top‘].set_color(‘none‘)ax.xaxis.set_ticks_position(‘bottom‘)ax.spines[‘bottom‘].set_position((‘data‘,0))ax.yaxis.set_ticks_position(‘left‘)ax.spines[‘left‘].set_position((‘data‘,0))

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import matplotlib.pyplot as pltimport numpy as npx = np.arange(-2*np.pi,2*np.pi,0.01)y = np.sin(3*x)/xy2 = np.sin(2*x)/xy3 = np.sin(x)/xplt.plot(x,y,color=‘b‘)plt.plot(x,y2,color=‘r‘)plt.plot(x,y3,color=‘g‘)plt.xticks([-2*np.pi, -np.pi, 0, np.pi, 2*np.pi],[r‘$-2\pi$‘,r‘$-\pi$‘,r‘$0$‘,r‘$+\pi$‘,r‘$+2\pi$‘])plt.yticks([-1,0,+1,+2,+3],[r‘$-1$‘,r‘$0$‘,r‘$+1$‘,r‘$+2$‘,r‘$+3$‘])plt.annotate(r‘$\lim_{x\to 0}\frac{\sin(x)}{x}= 1$‘, xy=[0,1],xycoords=‘data‘,xytext=[30,30],fontsize=16,textcoords=‘offset points‘,arrowprops=dict(arrowstyle="->",connectionstyle="arc3,rad=.2"))ax = plt.gca()ax.spines[‘right‘].set_color(‘none‘)ax.spines[‘top‘].set_color(‘none‘)ax.xaxis.set_ticks_position(‘bottom‘)ax.spines[‘bottom‘].set_position((‘data‘,0))ax.yaxis.set_ticks_position(‘left‘)ax.spines[‘left‘].set_position((‘data‘,0))

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import matplotlib.pyplot as pltimport numpy as npimport pandas as pddata = {‘series1‘:[1,3,4,3,5],‘series2‘:[2,4,5,2,4],‘series3‘:[3,2,3,1,3]}df = pd.DataFrame(data)x = np.arange(5)plt.axis([0,5,0,7])plt.plot(x,df)plt.legend(data, loc=2)

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import matplotlib.pyplot as pltimport numpy as nppop = np.random.randint(0,100,100)pop

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n,bins,patches = plt.hist(pop,bins=20)

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import matplotlib.pyplot as pltindex = [0,1,2,3,4]values = [5,7,3,4,6]plt.bar(index,values)

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import numpy as npindex = np.arange(5)values1 = [5,7,3,4,6]plt.bar(index,values1)plt.xticks(index+0.4,[‘A‘,‘B‘,‘C‘,‘D‘,‘E‘])

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import numpy as npindex = np.arange(5)values1 = [5,7,3,4,6]std1 = [0.8,1,0.4,0.9,1.3]plt.title(‘A Bar Chart‘)plt.bar(index,values1,yerr=std1,error_kw={‘ecolor‘:‘0.1‘,‘capsize‘:6},alpha=0.7,label=‘First‘)plt.xticks(index+0.4,[‘A‘,‘B‘,‘C‘,‘D‘,‘E‘])plt.legend(loc=2)

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import matplotlib.pyplot as pltimport numpy as npindex = np.arange(5)values1 = [5,7,3,4,6]std1 = [0.8,1,0.4,0.9,1.3]plt.title(‘A Horizontal Bar Chart‘)plt.barh(index,values1,xerr=std1,error_kw={‘ecolor‘:‘0.1‘,‘capsize‘:6},alpha=0.7,label=‘First‘)plt.yticks(index+0.4,[‘A‘,‘B‘,‘C‘,‘D‘,‘E‘])plt.legend(loc=5)

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import matplotlib.pyplot as pltimport numpy as npindex = np.arange(5)values1 = [5,7,3,4,6]values2 = [6,6,4,5,7]values3 = [5,6,5,4,6]bw = 0.3plt.axis([0,5,0,8])plt.title(‘A Multiseries Bar Chart‘,fontsize=20)plt.bar(index,values1,bw,color=‘b‘)plt.bar(index+bw,values2,bw,color=‘g‘)plt.bar(index+2*bw,values3,bw,color=‘r‘)plt.xticks(index+1.5*bw,[‘A‘,‘B‘,‘C‘,‘D‘,‘E‘])

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import matplotlib.pyplot as pltimport numpy as npindex = np.arange(5)values1 = [5,7,3,4,6]values2 = [6,6,4,5,7]values3 = [5,6,5,4,6]bw = 0.3plt.axis([0,8,0,5])plt.title(‘A Multiseries Horizontal Bar Chart‘,fontsize=20)plt.barh(index,values1,bw,color=‘b‘)plt.barh(index+bw,values2,bw,color=‘g‘)plt.barh(index+2*bw,values3,bw,color=‘r‘)plt.yticks(index+0.4,[‘A‘,‘B‘,‘C‘,‘D‘,‘E‘])

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import matplotlib.pyplot as pltimport numpy as npimport pandas as pddata = {‘series1‘:[1,3,4,3,5],‘series2‘:[2,4,5,2,4],‘series3‘:[3,2,3,1,3]}df = pd.DataFrame(data)df.plot(kind=‘bar‘)

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import matplotlib.pyplot as pltimport numpy as npimport pandas as pddata = {‘series1‘:[1,3,4,3,5],‘series2‘:[2,4,5,2,4],‘series3‘:[3,2,3,1,3]}df = pd.DataFrame(data)df.plot(kind=‘barh‘)

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import matplotlib.pyplot as pltimport numpy as npseries1 = np.array([3,4,5,3])series2 = np.array([1,2,2,5])series3 = np.array([2,3,3,4])index = np.arange(4)plt.axis([0,4,0,15])plt.bar(index,series1,color=‘r‘)plt.bar(index,series2,color=‘b‘,bottom=series1)plt.bar(index,series3,color=‘g‘,bottom=(series2+series1))plt.xticks(index+0.4,[‘Jan15‘,‘Feb15‘,‘Mar15‘,‘Apr15‘])

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import matplotlib.pyplot as pltimport numpy as npindex = np.arange(4)series1 = np.array([3,4,5,3])series2 = np.array([1,2,2,5])series3 = np.array([2,3,3,4])plt.axis([0,15,0,4])plt.title(‘A Multiseries Horizontal Stacked Bar Chart‘)plt.barh(index,series1,color=‘r‘)plt.barh(index,series2,color=‘g‘,left=series1)plt.barh(index,series3,color=‘b‘,left=(series1+series2))plt.yticks(index+0.4,[‘Jan15‘,‘Feb15‘,‘Mar15‘,‘Apr15‘])

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import matplotlib.pyplot as pltimport numpy as npindex = np.arange(4)series1 = np.array([3,4,5,3])series2 = np.array([1,2,2,5])series3 = np.array([2,3,3,4])plt.axis([0,15,0,4])plt.title(‘A Multiseries Horizontal Stacked Bar Chart‘)plt.barh(index,series1,color=‘w‘,hatch=‘xx‘)plt.barh(index,series2,color=‘w‘,hatch=‘///‘, left=series1)plt.barh(index,series3,color=‘w‘,hatch=‘\\\\\\‘,left=(series1+series2))plt.yticks(index+0.4,[‘Jan15‘,‘Feb15‘,‘Mar15‘,‘Apr15‘])

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import matplotlib.pyplot as pltimport pandas as pddata = {‘series1‘:[1,3,4,3,5],‘series2‘:[2,4,5,2,4],‘series3‘:[3,2,3,1,3]}df = pd.DataFrame(data)df.plot(kind=‘bar‘, stacked=True)

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import matplotlib.pyplot as pltx0 = np.arange(8)y1 = np.array([1,3,4,6,4,3,2,1])y2 = np.array([1,2,5,4,3,3,2,1])plt.ylim(-7,7)plt.bar(x0,y1,0.9,facecolor=‘r‘,edgecolor=‘w‘)plt.bar(x0,-y2,0.9,facecolor=‘b‘,edgecolor=‘w‘)plt.xticks(())plt.grid(True)for x, y in zip(x0, y1):    plt.text(x + 0.4, y + 0.05, ‘%d‘ % y, ha=‘center‘, va= ‘bottom‘)for x, y in zip(x0, y2):    plt.text(x + 0.4, (-y) - 0.05, ‘%d‘ % y, ha=‘center‘, va= ‘top‘)

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import matplotlib.pyplot as pltlabels = [‘Nokia‘,‘Samsung‘,‘Apple‘,‘Lumia‘]values = [10,30,45,15]colors = [‘yellow‘,‘green‘,‘red‘,‘blue‘]plt.pie(values,labels=labels,colors=colors)plt.axis(‘equal‘)

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import matplotlib.pyplot as pltlabels = [‘Nokia‘,‘Samsung‘,‘Apple‘,‘Lumia‘]values = [10,30,45,15]colors = [‘yellow‘,‘green‘,‘red‘,‘blue‘]explode = [0.3,0,0,0]plt.title(‘A Pie Chart‘)plt.pie(values,labels=labels,colors=colors,explode=explode,startangle=180)plt.axis(‘equal‘)

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import matplotlib.pyplot as pltlabels = [‘Nokia‘,‘Samsung‘,‘Apple‘,‘Lumia‘]values = [10,30,45,15]colors = [‘yellow‘,‘green‘,‘red‘,‘blue‘]explode = [0.3,0,0,0]plt.title(‘A Pie Chart‘)plt.pie(values,labels=labels,colors=colors,explode=explode,shadow=True,autopct=‘%1.1f%%‘,startangle=180)plt.axis(‘equal‘)

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import matplotlib.pyplot as pltimport pandas as pddata = {‘series1‘:[1,3,4,3,5],‘series2‘:[2,4,5,2,4],‘series3‘:[3,2,3,1,3]}df = pd.DataFrame(data)df[‘series1‘].plot(kind=‘pie‘,figsize=(6,6))

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import matplotlib.pyplot as pltimport numpy as npdx = 0.01; dy = 0.01x = np.arange(-2.0,2.0,dx)y = np.arange(-2.0,2.0,dy)X,Y = np.meshgrid(x,y)def f(x,y):    return (1 - y**5 + x**5)*np.exp(-x**2-y**2)C = plt.contour(X,Y,f(X,Y),8,colors=‘black‘)plt.contourf(X,Y,f(X,Y),8)plt.clabel(C, inline=1, fontsize=10)

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import matplotlib.pyplot as pltimport numpy as npdx = 0.01; dy = 0.01x = np.arange(-2.0,2.0,dx)y = np.arange(-2.0,2.0,dy)X,Y = np.meshgrid(x,y)C = plt.contour(X,Y,f(X,Y),8,colors=‘black‘)plt.contourf(X,Y,f(X,Y),8,cmap=plt.cm.hot)plt.clabel(C, inline=1, fontsize=10)plt.colorbar()

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import matplotlib.pyplot as pltimport numpy as npN = 8theta = np.arange(0.,2 * np.pi, 2 * np.pi / N)radii = np.array([4,7,5,3,1,5,6,7])plt.axes([0.025, 0.025, 0.95, 0.95], polar=True)colors = np.array([‘#4bb2c5‘, ‘#c5b47f‘, ‘#EAA228‘, ‘#579575‘, ‘#839557‘, ‘#958c12‘,‘#953579‘, ‘#4b5de4‘])bars = plt.bar(theta, radii, width=(2*np.pi/N), bottom=0.0, color=colors)

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import matplotlib.pyplot as pltimport numpy as npN = 8theta = np.arange(0.,2 * np.pi, 2 * np.pi / N)radii = np.array([4,7,5,3,1,5,6,7])plt.axes([0.025, 0.025, 0.95, 0.95], polar=True)colors = np.array([‘lightgreen‘, ‘darkred‘, ‘navy‘, ‘brown‘, ‘violet‘, ‘plum‘,‘yellow‘, ‘darkgreen‘])bars = plt.bar(theta, radii, width=(2*np.pi/N), bottom=0.0, color=colors)

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from mpl_toolkits.mplot3d import Axes3Dimport matplotlib.pyplot as pltfig = plt.figure()ax = Axes3D(fig)X = np.arange(-2,2,0.1)Y = np.arange(-2,2,0.1)X,Y = np.meshgrid(X,Y)def f(x,y):    return (1 - y**5 + x**5)*np.exp(-x**2-y**2)ax.plot_surface(X,Y,f(X,Y), rstride=1, cstride=1)

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from mpl_toolkits.mplot3d import Axes3Dimport matplotlib.pyplot as pltfig = plt.figure()ax = Axes3D(fig)X = np.arange(-2,2,0.1)Y = np.arange(-2,2,0.1)X,Y = np.meshgrid(X,Y)def f(x,y):    return (1 - y**5 + x**5)*np.exp(-x**2-y**2)ax.plot_surface(X,Y,f(X,Y), rstride=1, cstride=1, cmap=plt.cm.hot)ax.view_init(elev=30,azim=125)

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import matplotlib.pyplot as pltimport numpy as npfrom mpl_toolkits.mplot3d import Axes3Dxs = np.random.randint(30,40,100)ys = np.random.randint(20,30,100)zs = np.random.randint(10,20,100)xs2 = np.random.randint(50,60,100)ys2 = np.random.randint(30,40,100)zs2 = np.random.randint(50,70,100)xs3 = np.random.randint(10,30,100)ys3 = np.random.randint(40,50,100)zs3 = np.random.randint(40,50,100)fig = plt.figure()ax = Axes3D(fig)ax.scatter(xs,ys,zs)ax.scatter(xs2,ys2,zs2,c=‘r‘,marker=‘^‘)ax.scatter(xs3,ys3,zs3,c=‘g‘,marker=‘*‘)ax.set_xlabel(‘X Label‘)ax.set_ylabel(‘Y Label‘)ax.set_zlabel(‘Z Label‘)

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import matplotlib.pyplot as pltimport numpy as npfrom mpl_toolkits.mplot3d import Axes3Dx = np.arange(8)y = np.random.randint(0,10,8)y2 = y + np.random.randint(0,3,8)y3 = y2 + np.random.randint(0,3,8)y4 = y3 + np.random.randint(0,3,8)y5 = y4 + np.random.randint(0,3,8)clr = [‘#4bb2c5‘, ‘#c5b47f‘, ‘#EAA228‘, ‘#579575‘, ‘#839557‘, ‘#958c12‘, ‘#953579‘,‘#4b5de4‘]fig = plt.figure()ax = Axes3D(fig)ax.bar(x,y,0,zdir=‘y‘,color=clr)ax.bar(x,y2,10,zdir=‘y‘,color=clr)ax.bar(x,y3,20,zdir=‘y‘,color=clr)ax.bar(x,y4,30,zdir=‘y‘,color=clr)ax.bar(x,y5,40,zdir=‘y‘,color=clr)ax.set_xlabel(‘X Axis‘)ax.set_ylabel(‘Y Axis‘)ax.set_zlabel(‘Z Axis‘)ax.view_init(elev=40)

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import matplotlib.pyplot as pltfig = plt.figure()ax = fig.add_axes([0.1,0.1,0.8,0.8])inner_ax = fig.add_axes([0.6,0.6,0.25,0.25])

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import matplotlib.pyplot as pltimport numpy as npfig = plt.figure()ax = fig.add_axes([0.1,0.1,0.8,0.8])inner_ax = fig.add_axes([0.6,0.6,0.25,0.25])x1 = np.arange(10)y1 = np.array([1,2,7,1,5,2,4,2,3,1])x2 = np.arange(10)y2 = np.array([1,3,4,5,4,5,2,6,4,3])ax.plot(x1,y1)inner_ax.plot(x2,y2)

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import matplotlib.pyplot as pltgs = plt.GridSpec(3,3)fig = plt.figure(figsize=(6,6))fig.add_subplot(gs[1,:2])fig.add_subplot(gs[0,:2])fig.add_subplot(gs[2,0])fig.add_subplot(gs[:2,2])fig.add_subplot(gs[2,1:])

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import matplotlib.pyplot as pltimport numpy as npgs = plt.GridSpec(3,3)fig = plt.figure(figsize=(6,6))x1 = np.array([1,3,2,5])y1 = np.array([4,3,7,2])x2 = np.arange(5)y2 = np.array([3,2,4,6,4])s1 = fig.add_subplot(gs[1,:2])s1.plot(x,y,‘r‘)s2 = fig.add_subplot(gs[0,:2])s2.bar(x2,y2)s3 = fig.add_subplot(gs[2,0])s3.barh(x2,y2,color=‘g‘)s4 = fig.add_subplot(gs[:2,2])s4.plot(x2,y2,‘k‘)s5 = fig.add_subplot(gs[2,1:])s5.plot(x1,y1,‘b^‘,x2,y2,‘yo‘)