nord gnome dbus stuff
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102
users/pbsds/home/files/opt/python-interactive-imports.py
Executable file
102
users/pbsds/home/files/opt/python-interactive-imports.py
Executable file
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#!/usb/bin/env python3
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#run with:
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#gnome-terminal --hide-menubar --window-with-profile=manjaro -x python -i $HOME/.local/opt/python-interactive-imports.py
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import numpy as np
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from numpy import gcd, array, arange, linspace, meshgrid
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from numpy import cos, pi, sin, exp, log, log10, sqrt
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#from math import cos, pi, sin, exp, log, log10, sqrt, acos, asin, atan
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from math import acos, asin, atan, factorial
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from statistics import *
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from pprint import pprint
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from dis import dis
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import os, sys
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import functools
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import typing
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from functools import reduce
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from pathlib import Path
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from objexplore import explore
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p = pprint
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def plot(x, *args, label=[]):
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import matplotlib.pyplot as plt
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for i in args:
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plt.plot(x[:len(i)], i)
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plt.show()
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def hist(x, bins=20):
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import matplotlib.pyplot as plt
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plt.hist(x, bins)
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plt.show()
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def scatter(x, *args):
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import matplotlib.pyplot as plt
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for i in args:
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plt.plot(x[:len(i)], i, ".")
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plt.show()
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def imshow(image, cmap="gray"):
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import matplotlib.pyplot as plt
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plt.imshow(image.astype(np.float32), cmap=cmap)
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plt.show()
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def image(filepath=None, gray=False):
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if not filepath:
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import cv2
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cam = cv2.VideoCapture(0)
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s, im = cam.read() # captures image
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cv2.destroyAllWindows()
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im = im.astype(np.float64) / 256
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if not gray:
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return np.dstack((
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im[:,:,2],
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im[:,:,1],
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im[:,:,0],
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))
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else:
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return ( im[:,:,2] + im[:,:,1] + im[:,:,0]) / 3
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else:
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import matplotlib.image as mpimg
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img=mpimg.imread('image_name.png')
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def rad(degrees):
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return degrees * pi / 180
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def deg(radians):
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return radians / pi * 180
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def clip(data):
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"xclip -sel clip"
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import subprocess
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p = subprocess.Popen(("xclip", "-sel", "clip"), stdin=subprocess.PIPE)
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p.communicate(str(data).encode("utf-8"))
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def prod(args):
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return functools.reduce(lambda x, y: x*y, args)
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def add(*args):
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return sum(args)
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def mul(*args):
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return prod(args)
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def history(n=None):
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import readline
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return "\n".join([
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readline.get_history_item(i + 1)
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for i in range(readline.get_current_history_length())
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][-(n+1) if n is not None else 0:-1])
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def integral(data, initial=0, step=None):
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if step is None:
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step = (data[-1] - data[0]) / len(data)
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out = [initial]
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for i in data:
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out.append(out[-1] + i*step)
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return out[1:]
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