numpy

问题 I have the following dataframe: Month 1 -0.075844 2 -0.089111 3 0.042705 4 0.002147 5 -0.010528 6 0.109443 7 0.198334 8 0.209830 9 0.075139 10 -0.062405 11 -0.211774 12 -0.109167 1 -0.075844 2 -0.089111 3 0.042705 4 0.002147 5 -0.010528 6 0.109443 7 0.198334 8 0.209830 9 0.075139 10 -0.062405 11 -0.211774 12 -0.109167 Name: Passengers, dtype: float64 As you can see numbers are listed twice from 1-12 / 1-12, instead, I would like to change the index to 1-24. The problem is that when plotting

问题 I am starting with NumPy. Given two np.array s, queu and new_path : queu = [ [[0 0] [0 1]] ] new_path = [ [[0 0] [1 0] [2 0]] ] My goal is to get the following queu : queu = [ [[0 0] [0 1]] [[0 0] [1 0] [2 0]] ] I've tried: np.append(queu, new_path, 0) and np.vstack((queu, new_path)) But both are raising all the input array dimensions except for the concatenation axis must match exactly I didn't get the NumPy philosophy. What am I doing wrong? 回答1: In [741]: queu = np.array([[[0,0],[0,1]]])

问题 I am starting with NumPy. Given two np.array s, queu and new_path : queu = [ [[0 0] [0 1]] ] new_path = [ [[0 0] [1 0] [2 0]] ] My goal is to get the following queu : queu = [ [[0 0] [0 1]] [[0 0] [1 0] [2 0]] ] I've tried: np.append(queu, new_path, 0) and np.vstack((queu, new_path)) But both are raising all the input array dimensions except for the concatenation axis must match exactly I didn't get the NumPy philosophy. What am I doing wrong? 回答1: In [741]: queu = np.array([[[0,0],[0,1]]])

问题 I am writing a Molecular Dynamics code and for that I have a function that computes forces between particles: conservative, random and dissipative forces. The conservative forces are pairwise forces, which means I have a double loop for to compute them. I wanted to save some time and include the calculation of the random and dissipative forces in one of the loops of the double loop as follows: fr = np.zeros((npart, dim)) fd = np.zeros((npart, dim)) fc = np.zeros((npart, dim)) for i in range

问题 thank you for reading my question I have to plot my data like that. When I plot my data I am having an output like this. Code for reading the data from the file and plotting is below #!/usr/bin/env python3.8 import matplotlib.pyplot as plt import numpy as np with open('data.txt','r') as file2: y= [line.rstrip('\n') for line in file2] notf2=y[2:] z=[a.rstrip(' ') for a in notf2] x_data=[] y_data=[] for j in range(0, len(z)): x_data += [z[j][:3]] y_data += [z[j][5:]] x__data=[] y__data=[] for k

问题 Getting the following error message when setting up a 3D-GAN for ModelNet10: InvalidArgumentError: Input to reshape is a tensor with 27000 values, but the requested shape has 810000 [Op:Reshape] In my opinion the batch is not properly created and thereby the shape of the tensor is not valid. Tried different things but can´t get the batch set up.. I am more than thankful for any hints how to clean up my code! Thanks in advance! import time import numpy as np import tensorflow as tf np.random

问题 I am working with np.arrays. I am trying to remove the last n elements, where n can be also 1. n=5 corr=np.full(10,10) Usually I use this approach with array slicing: corr=corr[:-n] But I was thinking of using np.delete to increase the performance: np.delete(corr,range(-n,0)) But it doesn't work, is there any better solution compare with array slicing? (method able to deal also with case in which n=0, would be a point of advantage) 回答1: An array is an object with attributes like shape , dtype

问题 My original list_ function has over 2 million lines of code and I get a memory error when I run the code that calculates . Is there a way I could could go around it. The list_ down below isa portion fo the actual numpy array. Pandas data: import pandas as pd import math import numpy as np bigdata = 'input.csv' data =pd.read_csv(Daily_url, low_memory=False) #reverses all the table data values data1 = data.iloc[::-1].reset_index(drop=True) list_= np.array(data1['Close'] Code: number = 5 list_=

问题 I'm using Mayavi to plot an iso-surface of a gyroid. My problem is that I need a more solid structure by filling one side of the two generated areas. In the following pictures, you can see how my generated iso-surface looks like and how it should look like after filling one side. My generated iso-surface: How it should look like: The iso-surface can be generated by the following equation: U = sin(2*pi * x/a) * cos(2*pi * y/a) + sin(2*pi * y/a) * cos(2*pi * z/a) \ + sin(2*pi * z/a) * cos(2*pi

问题 I'm using Mayavi to plot an iso-surface of a gyroid. My problem is that I need a more solid structure by filling one side of the two generated areas. In the following pictures, you can see how my generated iso-surface looks like and how it should look like after filling one side. My generated iso-surface: How it should look like: The iso-surface can be generated by the following equation: U = sin(2*pi * x/a) * cos(2*pi * y/a) + sin(2*pi * y/a) * cos(2*pi * z/a) \ + sin(2*pi * z/a) * cos(2*pi