After using X.test.values.reshape, I still cannot get images ig, axes = plt.subplots(10, 10, figsize=(8, 8), subplot_kw={‘xticks’:[], ‘yticks’:[]}, gridspec_kw=dict(hspace=0.1, wspace=0.1)) test_images = Xtest.reshape(-1,8,8) for i, ax in enumerate(axes.flat): ax.imshow(test_images[i], cmap=’binary’, interpolation=’nearest’) ax.text(0.05, 0.05, str(y_model[i]), transform=ax.transAxes, color=’green’ if (ytest[i] == y_model[i]) else ‘red’) Source: Python..
The code below works fine. I am trying to change it a bit. calculation is a functions that takes 2 arrays as input. The code below inputs the 10 arrays of 100 elements each in groups of 2 (calculation needs 2 arrays as input) and it does this way: arr[0],arr[1] arr[2],arr[3] arr[4],arr[5] arr[6],arr[7] att[8],arr[9] So ..
I see here that collections.deque is not a great choice if I want to retain valid iterators while mutating the data structure. Are there any data structures in python’s stdlib that preserve valid iterators while supporting these two operations: append – Append something to the end of the container in O(1) amortized popleft – Pop ..
I have a dataframe that looks like shown picture Dataframe shape is (1944,900). Each row of the dataframe has one value (it might be repeated multiple times based on the row index). I need to extract a list of 1944 numbers each representing valid value from each row (excluding NaT and duplicate values). Any ideas ..
I keep getting an error when I try to do the calc command. The calc command is supposed to let me use the wolframalpha api to do math and assist me with other information as well. I don’t want to use the regular Python math commands, because wolframalpha can do very advanced math that I ..
so essentially we’ve got to complete this for a class project and so far I have the following: a = xmin b = xmax h = (b – a) / (N – 1) x = np.linspace(a, b, N) f = np.sin(x) I_simp = (h/3) * (f[0] + 2*sum(f[:N-2:2]) + 4*sum(f[1:N-1:2]) + f[N-1]) err_simp = 2 ..
I am making a Discord Bot using discord.py. For some reason .append() doesn’t work on the log variable. It gives me this error : AttributeError: ‘Command’ object has no attribute ‘append’ I tested it on a normal script without discord.py, and it worked. But for some reason if I put the script on the bot ..
I have the following multiindex from a df.groupby(level=1).max(). How to split the index (box_c_r) into two c and r and then plot a heatmap of (val, c, r). (1) I need to convert this: val name box_0_0 0.316349 box_0_1 0.788936 box_0_2 1.035940 box_0_3 0.340709 box_1_0 0.326872 box_1_1 1.967770 box_1_2 1.720290 box_1_3 0.329771 box_2_0 0.194211 box_2_1 ..
The program needed is one that takes an integer as input to make a triangle out of triangles, like so: sample of input and output I’ve tried this code: num = int(input()) for i in range(0, num): for j in range(0, num – i – 1): print(" ", end = "") for k in range(0, ..
Kind of a confusing question, but I’ll explain it thoroughly. Here is dataframe 1 ID |Name|Letter|Range 16x019CF123|Mike|Aasd | 12134 EMU_x123FF2|Lye |BASD | 21231 SAT_xFF314C|Rike|GSDAS | 21341 Dataframe 2 Index |ID 0 |019CF123 1 |123FF2 2 |FF314C So now I have 2 Panda Datframes ID in DF2 corresponds to ID in DF1, however not fully. ID ..
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