Python...I don't know what is wrong with my code:
import numpy as np
from mpi4py import MPI
array= [14,175, 15,055, 16,616, 17,495, 18,072, 19,390]
array1,array2= array[ : :2], array[1: :2]
print (array1)
print (array2)
/////it should print
array1 = [1,4175, 16,616,18,072]
array2= [15,055, 17,495, 19,390]
Use this split function
def split(a):
a1 = []
a2 = []
for i in len(a):
if i % 2 == 0:
a1.append(a[i])
else :
a2.append(a[i])
Python...I don't know what is wrong with my code: import numpy as np from mpi4py import...
Problem 2 using Python NumPy and Pandas libraries NOTES: Import NumPy as np and Pandas as pd Given the following piece of code to create a NumPy array, anIntArray: anIntArray = np.random.randint(5, 72, 48) Add Python code to convert this array into a Pandas series and then extract values stored at the positions 0, 5, 10, 15, 20 of the series.
IN PYTHON 3 GIVING THIS CODE %matplotlib inline import numpy as np import matplotlib.pyplot as plt from sklearn import datasets N_samples = 2000 X = np.array(datasets.make_circles(n_samples=N_samples, noise=0.05, factor=0.3)[0]) plt.scatter(X[:,0], X[:,1], alpha=0.8, s=64, edgecolors='white'); Use Spectral Clustering to cluster the points and visualize your result
In Python import numpy as np Given the array a = np.array([[1, 2, 3], [10, 20, 30], [100, 200, 300]]), compute and print the sums over all rows (should give [6, 60, 600]) the sums over all columns (the sum of he first column is 111) the maximum of the array the maxima over all rows the mean of the sub-array formed by omitting the first row and column the products over the first two columns (hint: look for an...
python
Problem 3-6 points First, start with the following code: import numpy as np A np.random. randint (0, 10, sie n,n)) np. savetxt ('exam2.txt', A, fmt-idelimiter B-# np. zeros ( (n, n) , dtypes, int 64, ) When run, it will produce a file named "exam2.txt" that has 5 rows each with 5 numbers separated by commas,. In addition, a 5 by 5 array of zeros named B is defined. Run this code, but do not change it Your job...
Hi. It's a python and I got an error below comment import numpy as np arr=np.genfromtxt("/Volumes/Samsung SSD 860 EVO 500GB Media/Download/primenumbers.txt", dtype=int) arr=arr.reshape(-1,1) arr.shape def find_cat(x): if x<= 300: return '<=300' elif x <= 600: return '<=600' else: return '<=1000' arr2 = np.apply_along_axis(find_cat, axis=1, arr=arr) arr2 = arr2.reshape(-1,1) arr3 = np.hstack((arr, arr2)) arr_300 = np.array((col[0] for col in arr3 if col[i]=='<=300'), dtype=int) arr_300 arr_300.shape count_300=len(arr_300) count_300 avg_300=round(np.mean(arr_300, 2) avg_300 print("Number of items in category \ "<=300\"= (one), and average of...
MY code is as follows for spyder import numpy as np price=np.genfromtxt("stocks.csv",delimiter=",") I am getting this error raise IOError("%s not found." % path) OSError: stocks.csv not found. How can I fix this
Using Python using import numpy as np
3. Write a Python function that is passed a numeric grade from 0 to 100 and returns a letter grade according to the scheme shown in Table 1
This is my code: import numpy as np import pandas as pd import sys from keras.models import Sequential from keras.layers import Dense from sklearn.preprocessing import StandardScaler from keras.layers.normalization import BatchNormalization from keras.layers import Dropout file_full=pd.read_csv("/Users/anwer/Desktop/copy/FULL.csv") file_bottom=pd.read_csv("/Users/anwer/Desktop/copy/bottom.csv") train=[] train_targets=[] test=[] test_targets=[] p=[] q=[] # We will generate train data using 50% of full data and 50% of bottom data. #is train target for labeling ? yes for train data train_df = file_full[:len(file_full)//2] labels=[ 0 for i in range(len(file_full)//2)] train_df=train_df.append(file_bottom[:len(file_bottom)//2]) for...
code that I started:
# THIS IS NEEDED TO USE ARRAYS IN PYTHON:
from array import *
# THIS IS NEEDED TO MAKE PLOTS IN PYTHON:
import matplotlib.pyplot as plt
# IMPORT A ROUTINE FROM NUMPY USEFUL FOR CREATING AN
# ARRAY FILLED WITH ZEROS
from numpy import zeros
# THIS COMMAND CREATES AN ARRAY OF ZEROS WITH DESIRED SHAPE:
V=zeros([31,21])
newV=zeros([31,21])
# SET UP THE BOUNDARY VALUES: V=8 ON TOP OF BOX
iy=20
for ix in range(0,31):
V[ix,iy]=8.0
#...
7. i) Let n and k be some given positive integers, and x a 1-dimensional NumPy array of length n. Write a Python code that creates the 2-dimensional NumPy array which has k columns all identical to x. You may import numpy as np Perform the test case: ne5 k-3 x = np.arange(0,1,0.2) # the output should be [[. 0. 0.] [0.2 0.2 0.2] [0.4 0.4 0.4) (0.6 0.6 0.6) [0.8 0.8 0.8]] 7. ii) Let a, b, c be...