cpascual

# Powershell script for installing taurus dependencies on a windows10 machine using conda
# I use it for provisioning a vagrant win10 machine

# Install SSL as a workaround for conda bug https://github.com/conda/conda/issues/6064
echo "Installing SSL"
wget "https://slproweb.com/download/Win64OpenSSL-1_1_1a.msi" -OutFile "$env:TMP\SSL.msi"
msiexec /quiet /i "$env:TMP\SSL.msi"
echo "Downloading conda"
$condainstallerurl = "https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe"
$condainstaller = "$env:TMP\\Miniconda3-latest-Windows-x86_64.exe"

cpascual

from PyQt5 import Qt
from pyqtgraph import InfiniteLine, TextItem
import numpy as np


class InspectorLine(InfiniteLine):

    def __init__(self, ):
        super(InspectorLine, self).__init__(angle=90, movable=True)
        self._labels = []

cpascual

from taurus.qt.qtgui.application import TaurusApplication
from taurus.qt.qtgui.tpg import TaurusPlotDataItem, DateAxisItem

import pyqtgraph as pg

if __name__ == '__main__':
    import sys
    app = TaurusApplication()

    w = pg.PlotWidget()

cpascual

# Demo of a "tool" for pyqtgraph that, when attached to a plot item it adds a menu
# action that, when toggled, checks for new data periodically and auto pans the X axis.
# The new-data-checking period is dynamically adjusted depending on the range being 
# displayed
# 
# Snippet adapted from the taurus_pyqtgraph.autopantool module to be used without taurus.
# See: 
# https://github.com/taurus-org/taurus_pyqtgraph/blob/master/taurus_pyqtgraph/autopantool.py

cpascual

#!/usr/bin/env python

#############################################################################
#
# This file was adapted from Taurus TEP17, but all taurus dependencies were 
# removed so that it works with just pyqtgraph
#
# Just run it and play with the zoom to see how the labels and tick positions 
# automatically adapt to the shown range
#

cpascual

from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit


def gauss(x, H, A, x0, sigma):
    return H + A * np.exp(-(x - x0) ** 2 / (2 * sigma ** 2))

def gauss_fit(x, y):

cpascual

""" 
A simple example of using taurus eval scheme with pandas to 
read a column of a CSV data file
"""

#create a dummy csv file with 2 columns with headers "x" and "y"
data=\
'''
x,y
2,4

cpascual

"""A nexus file summary tool implemented with h5py"""

import h5py
import sys


def print_dset(dset):
    print '\t', dset
    for k, v in sorted(dset.attrs.iteritems()):
        print "\t\t@%s=%s" % (k,v)

cpascual

import sys
from taurus.qt.qtgui.application import TaurusApplication
from taurus.qt.qtgui.plot import TaurusTrend

app = TaurusApplication()

w = TaurusTrend()

model = 'sys/tg_test/1/ampli'
w.setModel(model)

cpascual

"""
Examples on using the evaluation scheme for exposing icepap driver values
as taurus attributes

Note that:

- the first attribute is writable
- The second and 3rd attributes do not even require defining MyIpap
"""