marcocamma

# tested with plotly 5.13.1, matplotlib 3.5.3
from matplotlib import pyplot as plt
import plotly.tools as tls
from plotly.offline import download_plotlyjs, init_notebook_mode, iplot

plt.plot([1,2,3])

fig=plt.gcf()
fig_plotly=tls.mpl_to_plotly(fig)
fig_plotly.write_html("my_image.html")

marcocamma

def digital_filter(x,y,f=1000,order=10,kind="lowpass"):
    dt = x[1]-x[0]
    fs = 1/dt
    sos = signal.butter(order, f, kind, fs=fs, output='sos')
    return signal.sosfiltfilt(sos,y)

def lowpass(x,y,f=1000,order=10):
    return digital_filter(x,y,f=f,order=order,kind="lowpass")

def highpass(x,y,f=1000,order=10,add_average=True):

marcocamma

import matplotlib as mpl
mpl.use('Agg')
import argparse
import numpy as np
from matplotlib import pyplot as plt
import xrt.backends.raycing as raycing
import xrt.backends.raycing.sources as rsource
import xrt.backends.raycing.screens as rscreens
import xrt.backends.raycing.oes as roes
import xrt.backends.raycing.apertures as rslits

marcocamma

from inspect import signature

def auto_args(f):
    sig = signature(f)  # Get a signature object for the target:
    def replacement(self, *args, **kwargs):
        # Parse the provided arguments using the target's signature:
        bound_args = sig.bind(self, *args, **kwargs)
        # add defaults otherwise defaults are unbonund, thus not in the list
        bound_args.apply_defaults();
        # Save away the arguments on `self`:

marcocamma

from __future__ import print_function
import h5py
import numpy as np
import os

_fname = "/tmp/links_test.h5"

def write():
  f=h5py.File(_fname,"w")
  f["/data1/v1"] = np.random.random(1000)

marcocamma

import numpy as np
import time
import matplotlib.pyplot as plt

g_fname = "beams_f16.npy"

_colors = ["#a6611a","#dfc27d","#80cdc1","#018571"]; # from colorbrewer2.prg

def maskEdges(img,edge=5,makeCopy=True):
  if edge is None or edge == 0: return img