python课件astroPython在天文与空间科学中应用

1:Python

天文中的4:Python对FITS5:Python6:Python7:Python2Chapter ysiswith3456Using7TheCurrent 96.1.6.1.InIn[*]:In[*]:In[*]:6.1.In np.arange(3,12,Out[*]:array([3,5,7,9,In[*]:np.arange(1.2,4.4,In[*]:np.linspace(11.,12.,In[*]:np.logspace(1.,4.,7)In[*]:np.zeros(3,2)In[*]: 6.1.*/6.1.In[*]:x=np.arange(10)In[*]:x[0]In[*]:In[*]:In[*]:In[*]:x[::In[*]:x[-6.1.In[*]:x=In[*]:y=In[*]:x=np.arange(10)In[*]:x.shape=[2,5]In[*]:y=x.reshape(2,In[*]:y=x.reshape(-1, #same6.1.#In[*]:In[*]:np.random.normal(3.,1., 6.1.InIn[*]:x=In[*]:xOut[*]:array([6,4,9,7,7,InIn[*]:x[x>Out[*]:array([6,4,7,9,5,6,7,4,6.1.InIn[*]:x[(x>3.4)&(x<In[*]:y[(x>-0.5)&(x<6.1.一个数组dx，包含9个元素，且dx[ix[i+1x[i]。Calculateasurfacez=cos(r)/(r+wherer=sqrt(x**2+y**2).Setxtoanarraythatgoesfrom-20to20step by0.25Makeythesameasxbut“transposed”usingthereshapetrickabove.Useplt.imshowtodis ytheimageofz.ImportnumpyasImportmatplotlib.pyplotasx=np.arange(-20,20,0.25)y=x.reshape(-1,1)r=np.sqrt(x**2+y**2)z=np.cos(r)/(r+5)plt.imshow(z,origin=data=ChapterVisualizationwith 7.1.画1-dimportimportnumpyasimportmatplotlib.pyplotas #一条直线plt.ylabel(‘yvalues’) #viewportt=np.arange(0.,5.,0.2)

#lineplt.plot(t,t,‘r--’,t,t**2,‘bs’,t,t**3,plt.plot(t,t+60,‘o’,linestyle=‘-’,#defaultformat:rcParams[‘savefig.format’]=‘pdf’ #changexxyplt.annotate(‘localmax’,xy=(100,0.028),plt.annotate(‘localmax’,xy=(100,0.028), xytext: x=np.linspace(1.,8.,plt.plot(x,x**1.5,'ro',label='dengsity