I am trying to create and plot two sets of Gaussian Data. I have used numpy np.random.multivariate_normal(mu, cov, #points).T format. When I don’t transpose, it gives me a "too many values to unpack (expected 2) error. At any rate, when I do transpose, I can successfully plot one set of data. My goal is to ..

#### Category : numpy

I have a dataset in CSV which first column are dates (not datetimes, just dates). The CSV is like this: date,text 2005-01-01,"FOO-BAR-1" 2005-01-02,"FOO-BAR-2" If I do this: df = pd.read_csv(‘mycsv.csv’) I get: print(df.dtypes) date object text object dtype: object How can I get column date by datetime.date? Source: Python..

Is it possible to do any operation for example fill in a non-rectangular slice of the NumPy array with NumPy itself? For example imaging, we have a NumPy array in which the first index in each row represents the limit. and we want to fill out of limit items with the latest element inside the ..

I have two numpy 1 dimensional arrays times and values which are both 712 entries long. I want to slice out all entries, barring the first, where the difference between the current time and the previous is smaller than 9. I have a truth table I want to map onto these two arrays. >>> print((times[1:] ..

I’m coding a function right now which has a really weird problem. When I define the function Psi(t) and call it to be plotted, it works fine. But, when you call it again to be plotted, it sends an error ‘numpy.ndarray’ object is not callable. When you click play (on Jupyter notebook) on Psi(t) to ..

I have an array of numbers in python. I saved it using the code below file = open("A.txt", "w+") for i in range(300): content = str(A[i]) file.write(content) file.close() But when I wanted to read it with this code def readFile(A): fileObj = open(‘A.txt’, "r") #opens the file in read mode words = fileObj.read().splitlines() #puts the ..

So given I have a box which stores the top-left and bottom-right coordinates, the width and height, how can I create another box inside of it which it at least 4×4 and doesn’t exceed the width and height of the original box. Here is my code so far: class Rect: def __init__(self, x1: int, y1: ..

I am trying to encode the PNG Image(input = numpy.ndarray) with Base64, and decode back to image. However, I receive the following error message. Traceback (most recent call last): File "api_client_test.py", line 46, in <module> result = np.frombuffer(bytes_np_dec, dtype=np.float64) ValueError: buffer size must be a multiple of element size Here is my code import numpy ..

I tried to load my csv into python and got this output. code df=pd.read_csv(f"{getcwd()}AuAU 1.csv",delimiter=’,’,encoding=’cp1252′) print(df) file encoding result be ‘cp1252’ I got this output: ÿþW Unnamed: 1 Unnamed: 2 0 NaN NaN NaN 1 NaN NaN NaN 2 NaN NaN NaN …. 55150 NaN NaN NaN AU 1.csv Wavelength (nm),Absorbance (AU),Std.Dev. 㤀 Ⰰ ⸀㈀㤀㈀㜀㌀㠀㤀㐀㐀㠀㤀㜀㐀㘀Ⰰ ⸀ 㠀㈀㌀㌀㈀㤀㘀㐀㐀㠀㔀㜀㜀㌀㐀ഀഀ 191,0.0829615592956543,0.0572289788579017 㤀㈀Ⰰ ⸀㈀ ㈀㤀㠀㠀㐀㜀㜀㌀㔀㔀㤀㘀Ⰰ ⸀ 㜀㤀㈀ 㠀㐀㤀 ㌀㈀㐀㤀㘀ഀഀ ..

Currently I am trying to fit a function to a histogram with three datasets. I have got the code for the histogram from the matplotlib gallery (https://matplotlib.org/2.0.2/examples/statistics/multiple_histograms_side_by_side.html). I want to fit my first set of data where #curvefit is written but I don’t know, which value I should give for vx because the variable vx ..

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