Re: [Numpy-discussion] arrays and : behaviour
You problem isn't with colon indexing, but with the interpretation of the arguments to plot. multiple calls to plot with scalar arguments do not have the same result as a single call with array arguments. For this to work as intended, you would need plt.hold(True), for starters, and maybe there are other subtleties. On Thu, May 1, 2014 at 1:31 PM, did did 21di...@gmx.com wrote: Hello all and sorry for my bad english, i am a beginner with python and i try to save a lot of data in several folders in a 4D matrix and then to plot two columns of this 4D matrix. Bellow, i have the code to fill my 4D matrix, it works very well : [CODE]matrix4D=[] for i in Numbers: readInFolder=folderPrefixe+i+/ matrix3D=[] for j in listeOfdata: nameOfFile=filePrefixe+i+-+j+extensionTXT nameOfFile=readInFolder+nameOfFile matrix2D=np.loadtxt(nameOfFile,delimiter=,,skiprows=1) matrix3D.append(matrix2D) matrix4D.append(matrix3D) array4D = np.asarray(matrix4D)[/CODE] But now, i want to plot the third column as function of the third too (just for trying) and i use this stupid manner that works well : [CODE]plt.figure(1) temp=plt.plot(array4D[0][0][0][0],array4D[0][0][0][0],'bo') temp=plt.plot(array4D[0][0][1][0],array4D[0][0][1][0],'bo') temp=plt.plot(array4D[0][0][2][0],array4D[0][0][2][0],'bo') temp=plt.plot(array4D[0][0][3][0],array4D[0][0][3][0],'bo') plt.show()[/CODE] Now, i want to use a more smart manner and i use : like this [CODE]plt.figure(1) temp=plt.plot(array4D[0][0][0:3][0],array4D[0][0][0:3][0],'bo') plt.show()[/CODE] The result should be the same but i don't got the same results!!! In attachement you have the two corresponding plots, can you explain to me with i don't have the same plots ?? thanks for all ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] arrays and : behaviour
By default, the hold is already True. In fact, that might explain some of the differences in what you are seeing. There are more points in the second image than in the first one, so I wonder if you are seeing some leftovers of previous plot commands? One issue I do see is that the slicing is incorrect. [0:3] means index 0, 1, and 2. So index 3 is never accessed. I think you want [0:4]. I should also note that once you have your data as a numpy array, your indexing can be greatly simplified: plt.plot(array4D[0][0][0:4][0],array4D[0][0][0:4][0],'bo') can be done as: plt.plot(array4D[0, 0, 0:4, 0], array4D[0, 0, 0:4, 0], 'bo') Cheers! Ben Root On Thu, May 1, 2014 at 8:33 AM, Eelco Hoogendoorn hoogendoorn.ee...@gmail.com wrote: You problem isn't with colon indexing, but with the interpretation of the arguments to plot. multiple calls to plot with scalar arguments do not have the same result as a single call with array arguments. For this to work as intended, you would need plt.hold(True), for starters, and maybe there are other subtleties. On Thu, May 1, 2014 at 1:31 PM, did did 21di...@gmx.com wrote: Hello all and sorry for my bad english, i am a beginner with python and i try to save a lot of data in several folders in a 4D matrix and then to plot two columns of this 4D matrix. Bellow, i have the code to fill my 4D matrix, it works very well : [CODE]matrix4D=[] for i in Numbers: readInFolder=folderPrefixe+i+/ matrix3D=[] for j in listeOfdata: nameOfFile=filePrefixe+i+-+j+extensionTXT nameOfFile=readInFolder+nameOfFile matrix2D=np.loadtxt(nameOfFile,delimiter=,,skiprows=1) matrix3D.append(matrix2D) matrix4D.append(matrix3D) array4D = np.asarray(matrix4D)[/CODE] But now, i want to plot the third column as function of the third too (just for trying) and i use this stupid manner that works well : [CODE]plt.figure(1) temp=plt.plot(array4D[0][0][0][0],array4D[0][0][0][0],'bo') temp=plt.plot(array4D[0][0][1][0],array4D[0][0][1][0],'bo') temp=plt.plot(array4D[0][0][2][0],array4D[0][0][2][0],'bo') temp=plt.plot(array4D[0][0][3][0],array4D[0][0][3][0],'bo') plt.show()[/CODE] Now, i want to use a more smart manner and i use : like this [CODE]plt.figure(1) temp=plt.plot(array4D[0][0][0:3][0],array4D[0][0][0:3][0],'bo') plt.show()[/CODE] The result should be the same but i don't got the same results!!! In attachement you have the two corresponding plots, can you explain to me with i don't have the same plots ?? thanks for all ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] arrays and : behaviour
On Do, 2014-05-01 at 09:45 -0400, Benjamin Root wrote: By default, the hold is already True. In fact, that might explain some of the differences in what you are seeing. There are more points in the second image than in the first one, so I wonder if you are seeing some leftovers of previous plot commands? One issue I do see is that the slicing is incorrect. [0:3] means index 0, 1, and 2. So index 3 is never accessed. I think you want [0:4]. I should also note that once you have your data as a numpy array, your indexing can be greatly simplified: plt.plot(array4D[0][0][0:4][0],array4D[0][0][0:4][0],'bo') can be done as: plt.plot(array4D[0, 0, 0:4, 0], array4D[0, 0, 0:4, 0], 'bo') Yeah, also arr[0:4][0] is the same as arr[0]. So you actually *must* use an array and the arr[0:4, 0] way if you want to do indexing like that... - Sebastian Cheers! Ben Root On Thu, May 1, 2014 at 8:33 AM, Eelco Hoogendoorn hoogendoorn.ee...@gmail.com wrote: You problem isn't with colon indexing, but with the interpretation of the arguments to plot. multiple calls to plot with scalar arguments do not have the same result as a single call with array arguments. For this to work as intended, you would need plt.hold(True), for starters, and maybe there are other subtleties. On Thu, May 1, 2014 at 1:31 PM, did did 21di...@gmx.com wrote: Hello all and sorry for my bad english, i am a beginner with python and i try to save a lot of data in several folders in a 4D matrix and then to plot two columns of this 4D matrix. Bellow, i have the code to fill my 4D matrix, it works very well : [CODE]matrix4D=[] for i in Numbers: readInFolder=folderPrefixe+i+/ matrix3D=[] for j in listeOfdata: nameOfFile=filePrefixe+i+-+j+extensionTXT nameOfFile=readInFolder+nameOfFile matrix2D=np.loadtxt(nameOfFile,delimiter=,,skiprows=1) matrix3D.append(matrix2D) matrix4D.append(matrix3D) array4D = np.asarray(matrix4D)[/CODE] But now, i want to plot the third column as function of the third too (just for trying) and i use this stupid manner that works well : [CODE]plt.figure(1) temp=plt.plot(array4D[0][0][0][0],array4D[0][0][0][0],'bo') temp=plt.plot(array4D[0][0][1][0],array4D[0][0][1][0],'bo') temp=plt.plot(array4D[0][0][2][0],array4D[0][0][2][0],'bo') temp=plt.plot(array4D[0][0][3][0],array4D[0][0][3][0],'bo') plt.show()[/CODE] Now, i want to use a more smart manner and i use : like this [CODE]plt.figure(1) temp=plt.plot(array4D[0][0][0:3][0],array4D[0][0][0:3][0],'bo') plt.show()[/CODE] The result should be the same but i don't got the same results!!! In attachement you have the two corresponding plots, can you explain to me with i don't have the same plots ?? thanks for all ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion signature.asc Description: This is a digitally signed message part ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] arrays and : behaviour
Thanks all for your help! i will try bye ;-) - Original Message - From: Sebastian Berg Sent: 05/01/14 03:54 PM To: numpy-discussion@scipy.org Subject: Re: [Numpy-discussion] arrays and : behaviour On Do, 2014-05-01 at 09:45 -0400, Benjamin Root wrote: By default, the hold is already True. In fact, that might explain some of the differences in what you are seeing. There are more points in the second image than in the first one, so I wonder if you are seeing some leftovers of previous plot commands? One issue I do see is that the slicing is incorrect. [0:3] means index 0, 1, and 2. So index 3 is never accessed. I think you want [0:4].I should also note that once you have your data as a numpy array, your indexing can be greatly simplified: plt.plot(array4D[0][0][0:4][0],array4D[0][0][0:4][0],'bo') can be done as: plt.plot(array4D[0, 0, 0:4, 0], array4D[0, 0, 0:4, 0], 'bo') Yeah, also arr[0:4][0] is the same as arr[0]. So you actually *must* use an array and the arr[0:4, 0] way if you want to do indexing like that... - Sebastian Cheers! Ben Root On Thu, May 1, 2014 at 8:33 AM, Eelco Hoogendoorn hoogendoorn.ee...@gmail.com wrote: You problem isn't with colon indexing, but with the interpretation of the arguments to plot. multiple calls to plot with scalar arguments do not have the same result as a single call with array arguments. For this to work as intended, you would need plt.hold(True), for starters, and maybe there are other subtleties.On Thu, May 1, 2014 at 1:31 PM, did did 21di...@gmx.com wrote: Hello all and sorry for my bad english, i am a beginner with python and i try to save a lot of data in several folders in a 4D matrix and then to plot two columns of this 4D matrix. Bellow, i have the code to fill my 4D matrix, it works very well : [CODE]matrix4D=[] for i in Numbers: readInFolder=folderPrefixe+i+/ matrix3D=[] for j in listeOfdata: nameOfFile=filePrefixe+i+-+j+extensionTXT nameOfFile=readInFolder+nameOfFile matrix2D=np.loadtxt(nameOfFile,delimiter=,,skiprows=1) matrix3D.append(matrix2D) matrix4D.append(matri x3D) array4D = np.asarray(matrix4D)[/CODE] But now, i want to plot the third column as function of the third too (just for trying) and i use this stupid manner that works well : [CODE]plt.figure(1) temp=plt.plot(array4D[0][0][0][0],array4D[0][0][0][0],'bo') temp=plt.plot(array4D[0][0][1][0],array4D[0][0][1][0],'bo') temp=plt.plot(array4D[0][0][2][0],array4D[0][0][2][0],'bo') temp=plt.plot(array4D[0][0][3][0],array4D[0][0][3][0],'bo') plt.show()[/CODE] Now, i want to use a more smart manner and i use : like this [CODE]plt.figure(1) temp=plt.plot(array4D[0][0][0:3][0],array4D[0][0][0:3][0],'bo') plt.show()[/CODE] The result should be the same but i don't got the same results!!! In attachement you have the two corresponding plots, can you explain to me with i don't have the same plots ?? thanks for all ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http: //mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] arrays and : behaviour
thanks, it works well see you and thanks again - Original Message - From: Sebastian Berg Sent: 05/01/14 03:54 PM To: numpy-discussion@scipy.org Subject: Re: [Numpy-discussion] arrays and : behaviour On Do, 2014-05-01 at 09:45 -0400, Benjamin Root wrote: By default, the hold is already True. In fact, that might explain some of the differences in what you are seeing. There are more points in the second image than in the first one, so I wonder if you are seeing some leftovers of previous plot commands? One issue I do see is that the slicing is incorrect. [0:3] means index 0, 1, and 2. So index 3 is never accessed. I think you want [0:4].I should also note that once you have your data as a numpy array, your indexing can be greatly simplified: plt.plot(array4D[0][0][0:4][0],array4D[0][0][0:4][0],'bo') can be done as: plt.plot(array4D[0, 0, 0:4, 0], array4D[0, 0, 0:4, 0], 'bo') Yeah, also arr[0:4][0] is the same as arr[0]. So you actually *must* use an array and the arr[0:4, 0] way if you want to do indexing like that... - Sebastian Cheers! Ben Root On Thu, May 1, 2014 at 8:33 AM, Eelco Hoogendoorn hoogendoorn.ee...@gmail.com wrote: You problem isn't with colon indexing, but with the interpretation of the arguments to plot. multiple calls to plot with scalar arguments do not have the same result as a single call with array arguments. For this to work as intended, you would need plt.hold(True), for starters, and maybe there are other subtleties.On Thu, May 1, 2014 at 1:31 PM, did did 21di...@gmx.com wrote: Hello all and sorry for my bad english, i am a beginner with python and i try to save a lot of data in several folders in a 4D matrix and then to plot two columns of this 4D matrix. Bellow, i have the code to fill my 4D matrix, it works very well : [CODE]matrix4D=[] for i in Numbers: readInFolder=folderPrefixe+i+/ matrix3D=[] for j in listeOfdata: nameOfFile=filePrefixe+i+-+j+extensionTXT nameOfFile=readInFolder+nameOfFile matrix2D=np.loadtxt(nameOfFile,delimiter=,,skiprows=1) matrix3D.append(matrix2D) matrix4D.append(matri x3D) array4D = np.asarray(matrix4D)[/CODE] But now, i want to plot the third column as function of the third too (just for trying) and i use this stupid manner that works well : [CODE]plt.figure(1) temp=plt.plot(array4D[0][0][0][0],array4D[0][0][0][0],'bo') temp=plt.plot(array4D[0][0][1][0],array4D[0][0][1][0],'bo') temp=plt.plot(array4D[0][0][2][0],array4D[0][0][2][0],'bo') temp=plt.plot(array4D[0][0][3][0],array4D[0][0][3][0],'bo') plt.show()[/CODE] Now, i want to use a more smart manner and i use : like this [CODE]plt.figure(1) temp=plt.plot(array4D[0][0][0:3][0],array4D[0][0][0:3][0],'bo') plt.show()[/CODE] The result should be the same but i don't got the same results!!! In attachement you have the two corresponding plots, can you explain to me with i don't have the same plots ?? thanks for all ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http: //mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
