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def clip_remainder(x, clip):
    if isinstance(clip, tuple):
        print("is tuple")
        assert len(clip) == 2, "Clip should be (min, max)"
        clipmin,clipmax = clip
    else:
        clipmin = -clip
        clipmax = clip
    clipptp = np.ptp([clipmin, clipmax])

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from scipy import interpolate
import numpy as np
# x_resolution = 0.38
# y_resolution = 0.38

# z = matrix_data
# xsize,ysize = z.shape

# x = np.arange(0,xsize+extra,1)*x_resolution
# y = np.arange(0,ysize+extra,1)*y_resolution

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def interpolate_scandata_2d(x,y,z, fast_axis=0, min_signal_size=500, points=100, filter_positive=False, center_to_peak=False, normalize=False):

    if fast_axis == 0:
        vector = x
    else:
        vector = y

    # consider only the positive direction of the x values
    if filter_positive:

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def remove_extension(filename, separator="."):
    return separator.join(filename.split(separator)[:-1])

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def convert_array_to_levels(array, levels, limits=[-np.pi,np.pi], output_limits=None, verbose=False):
    """Dgitizes the given array to within the number of levels provided 
    
    Parameters
    ----------
    array : input array of values
    levels : number of levels to consider
    limits : the input data limits to consider for the interval calculation
    output_limits : if given, multiplies the digitized input to the output range
    

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import numpy as np
from PIL import Image
def save_array_as_image(array, filename):
    """Saves a 2D numpy array to an image"""
    image = Image.fromarray(array)
    image.save(filename)

    
array = np.random.random((512,512))*255
array = np.uint8(array)

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# Reducing sample names of QN61 by 1 value to match QN62, QN63 and the DieMap

root_dir = os.path.abspath(path_string)
files = os.listdir(root_dir)
prefix =  ".csv"
files = [file for file in files if prefix in file]
for file in files:
    number = int(file[1:4])-1
#     print("%03d"%number)
    newfile = "S%03d.csv"%number

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#include <stdio.h>



typedef enum {
    NORTH = 0,
    EAST = 1,
    SOUTH = 2,
    WEST = 3
} directionValues;

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import numpy as np
from mpl_toolkits.mplot3d import axes3d

import matplotlib
matplotlib.use("Agg")

import matplotlib.pyplot as plt
import matplotlib.animation as animation
import matplotlib.colors as colors

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%%%%%%%%%%%%%%%%%
% This is altacv.cls (v1.1.3, 30 April 2017) written by
% LianTze Lim ([email protected]).
% 
%% It may be distributed and/or modified under the
%% conditions of the LaTeX Project Public License, either version 1.3
%% of this license or (at your option) any later version.
%% The latest version of this license is in
%%    http://www.latex-project.org/lppl.txt
%% and version 1.3 or later is part of all distributions of LaTeX