__init__.py 3.54 KB
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#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# ================= FILE HEADER ========================================
#
#   myplotlib v0.0.0,
#
#   @file      __init__.py
#   @author    Yori 'AGy' Fournier
#   @licence   CC-BY-SA
#
#   Import and Configuration file for myplotlib
#
#   @section Import
#
#   myplotlib is base on matplotlib therefore it requires
#   Figure and Axes as main classes and a few further functions.
#
#   @section Config
#
#   Default value for user parameters
#   and configuration for the default plotting
#
#   @section Module Import
#
#   Import of myplotlib classes and function
#
#   @section History
#
#   v 0.0.0 - __init__.py file for the myplotlib module
#
# ======================================================================
#
#
# IMPORT ---------------------------------------------------------------
import os as os
import numpy as np

# matplotlib
from matplotlib.pyplot import figure
from matplotlib.pyplot import rc
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from matplotlib.pyplot import show, draw, ion, ioff, clf
from matplotlib.pyplot import close as mpclose
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from matplotlib.pyplot import fignum_exists, savefig
from matplotlib.axes import Axes
from matplotlib.figure import Figure
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from matplotlib import is_interactive
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from matplotlib import rcParams

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# For interactive usage (require GTKAgg !) NOT YET COMPATIBLE WITH OTHER BACKENDS
from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as FigureCanvas

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# myplotlib
from myData import MyData

# FORM -----------------------------------------------------------------
INFO = " > info-: "
WARN = " > warn-: "
SEVR = " > sevr-: "
DBUG = " > dbug-: "
SPCE = " > -----: "

# CONFIGURATION --------------------------------------------------------
# myFig
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D_FIGNUM    = 0          # default figure number
D_FIGSIZE   = (8., 6.)   # default figure size
D_REFORMAT  = True       # default reformat value
D_FORMATTED = False      # default formatted value
D_RAWDATA   = MyData()   # default raw data
D_INPUTARG  = 'current'  # default Input argument
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# myIOs
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D_IPATH     = '../'      # default path to project
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# print2file
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D_OPATH     = 'myplotlib/img/'  # default path to ouput
D_OFORMAT   = 'png'      # default format for ouput
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# Debug
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D_DEBUG     = True      # default debug value
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# GLOBAL VARIABLE ------------------------------------------------------
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G_RAWDATAS  = {'current': MyData()}  # raw data Object
G_MANAGERS = []  # LIST OF THE ACTUAL MANAGERS
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# PLOTTING CONFIGURATION -----------------------------------------------
rc('font', family='serif')
rc('font', size='22')
rc('text', usetex=True)  # need dvipng, ghostscript, and Agg
rc('lines', linewidth=1.5)
rc('lines', markersize=6)
rc('axes', linewidth=1.5)
rc('xtick.major', width=1.5, pad=10., size=10.)
rc('ytick.major', width=1.5, pad=8., size=10.)
rc('xtick.minor', width=1.5, size=5.)
rc('ytick.minor', width=1.5, size=5.)
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rc('figure', dpi = 75.0)
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# FUNCTIONS ------------------------------------------------------------
# MyAxes: Overlay on matplotlib.Axes class
from myAxes import MyAxes

# MyIOs.*: input/output function for testing
from myIOs import readStupidData, readStupidData2

# MyFig: Overlay on matplotlib.Figure class
from myFig import MyFig

# myTool.*: interface functions to use myplotlib interactively
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from myTool import createWindow, refreshWindow, closeWindow, updateFig
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from myTool import print2file
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# MyFig4Test: Overlay of Figure for testing
from myFig4Test import MyFig4Test

# some plotting routine for testing
from myPlot4Test import somePlottingRoutine
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from test import myTest
from test import test1, test2, test3, test4

testList = [test1, test2, test3, test4]