I’ve heard that Numpy arrays are more efficient then python built in list and that they are taking less space in memory. As I understand Numpy stores this objects next to each other in memory, while python implementation of the list stores…
Consider an array:
array([[ 0, 0],
[ 0, 0],
[ 0, 0],
[ 0, 255],
[ 0, 0],
[ 0, 0],
[ 0, 0],
[ 0, 0],
I have a function of 5 variables.
I would like to visualize how the function behaves by plotting a surface where I span the range of 2 variables and hold the remaining 3 constant.
In my case, the function is Black Scholes and it is a funct…
I’ve boiled down the logic of something I’m struggling to figure out (new to Python, been a long time since I’ve done any coding). I have the code below, the intention is to roll a d6 limit times (in this case 300) and then over a defined …
I am trying to decorate a numpy function and override its repr function. Usually this can be done conveniently by using functools.wraps, but seems to not be the case here:
import numpy as np
I have 5 minute bars OHLC time series data since 2010 in a dataframe.
I store this dataframe in a dictionary, with key being asset name.
self.store[asset] = df
df memory usage = 63.mb. python memory usage = 63mb
I then want…
I have a dataset that has several rows and columns, however within the column labeled, ‘number’, I wish to remove the aggregation and separate this into its own unique count. I also wish to add a column that gives this count a unique id.
features_df = (pd.concat(feature_weight_list)
.pivot(index=’n’, columns=’features’, values=’values’))
features_df.to_csv (r’C:/Users/USER12/Downloads/AB.csv’, index = False, header=True)
I am saving thi…
I am trying to detect the center point of the image which i can easily do by just image.shape/2 and once i know the center line i just want to draw a upward line till the white object
However i have tried numpy logical and and with a bl…
Here is my data:
df1 = pd.read_csv(‘gp_data.csv’,sep= ";")
df2 = pd.read_csv(‘ms_data.csv’,sep= ";")
student_data = pd.concat([df1, df2])
df3 = pd.read_csv(‘gp_grades.csv’,sep= ";")
df4 = pd.r…
For a physics problem, I numerically solve an eigenvalue equation with a square matrix (that is usually complex-valued, but is guaranteed to have real eigenvalues by construction). I have a 2D parameter space (x,y), over which I solve this…
I want to move the column value to another column depending on the condition.
In the table below, if column A is 4 or more, the value of A1_1 is moved to A1_3, if the value is 3, it is moved to A1_2, and if the value is less than 2, the va…
I have the following
a = np.arange(1000)
b = np.arange(100)
I want to plot both a and b on the same plot, with all points from a appearing, and for each point of b, have 10 points show up, with no interpolation. b point values should chan…
My objective is to determine the phase error of the signal that arrives at the receiver. I want to use cross-correlation to do this.
The symbol rate of my signal is 25 MHz. Before I recover the phase I also propagate it through RRC filter….
I am generating thetas, radius ranges, cos_thetas and sin_thetas using numpy.
I am still left with code that is highly inefficient, in terms of getting those combinations.
I have tried to go down the path of vectorization but reshaping mak…
I’m attempting to calculate the bubble point pressure of methanol in a methanol-isobutane mixture at 110 degC using PC-SAFT parameters. The code is either giving out the same error or a different value for pressure randomly. Have I set the…
** I am getting this error while deploying machine learning model on heroku i have red many similar post here put nothing helped`**
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this is my requirements.txt file
I’m trying to use matplotlib to make a program that will use any two circles (any radius) and the adjacent circle will rotate around the main larger circle. I’ve looked at matplotlib.animation and it doesn’t seem to work. Apparently animat…
My algorithm proceeds sequentially, from bottom to top of a 2-D array with just 2 columns, because the array is already optimally sorted, so it can just proceed sequentially from bottom to top (the sample code below is just random though)….
So, I have this code that multiplies every element in a batch of tensors with every other element, except for itself. The code works, but it becomes painfully slow with larger batch sizes (Ideally I want to be able to use it with batch siz…