faulty stress data for 50CrMo4?

visualisation/50CrMo4_zugdaten.vsz

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+# Veusz saved document (version 3.6.2)
+# Saved at 2025-04-06T16:41:16.373686
+
+SetCompatLevel(1)
+AddImportPath('/home/dme/Documents/Diss/00_Schreiben/Diss/visualisation')
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A10.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A10_', rowsignore=1)
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A12.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A12_', rowsignore=1)
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A13.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A13_', rowsignore=1)
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A14.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A14_', rowsignore=1)
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A15.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A15_', rowsignore=1)
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A16.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A16_', rowsignore=1)
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A1.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A1_', rowsignore=1)
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A2.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A2_', rowsignore=1)
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A3.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A3_', rowsignore=1)
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A4.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A4_', rowsignore=1)
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A6.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A6_', rowsignore=1)
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A8.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A8_', rowsignore=1)
+ImportFileCSV('data/stress_c38/A_Rohzustant_650/A9.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='A9_', rowsignore=1)
+ImportFileCSV('data/stress_c38/Martensit/M3.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='M3_', rowsignore=1)
+ImportFileCSV('data/stress_c38/Martensit/M5.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='M5_', rowsignore=1)
+ImportFileCSV('data/stress_c38/Martensit/M6.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='M6_', rowsignore=1)
+ImportFileCSV('data/stress_c38/Martensit/M7.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='M7_', rowsignore=1)
+ImportFileCSV('data/stress_c38/Martensit/M8.csv', delimiter=';', headerignore=1, headermode='1st', linked=True, dsprefix='M8_', rowsignore=1)
+Set('width', '9cm')
+Set('height', '9cm')
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+Set('StyleSheet/Font/size', '8pt')
+Set('StyleSheet/axis/MajorTicks/length', '4pt')
+Set('StyleSheet/axis/MinorTicks/length', '2pt')
+Set('StyleSheet/axis-function/autoRange', 'next-tick')
+Set('StyleSheet/colorbar/autoRange', 'exact')
+Set('StyleSheet/graph/leftMargin', '1.cm')
+Set('StyleSheet/graph/rightMargin', '0.15cm')
+Set('StyleSheet/graph/topMargin', '.15cm')
+Set('StyleSheet/graph/bottomMargin', '0.85cm')
+Set('StyleSheet/image/colorMap', 'parula')
+Set('StyleSheet/key/keyLength', '5mm')
+Set('StyleSheet/key/marginSize', 0.5)
+Set('StyleSheet/page/width', '7cm')
+Set('StyleSheet/page/height', '7cm')
+Set('StyleSheet/xy/markerSize', '2.5pt')
+Set('StyleSheet/xy/PlotLine/width', '1pt')
+Set('StyleSheet/xy/MarkerLine/color', 'auto')
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+Add('page', name='BASE', autoadd=False)
+To('BASE')
+Add('graph', name='graph1', autoadd=False)
+To('graph1')
+Add('axis', name='x', autoadd=False)
+To('x')
+Set('label', 'Strain [%]')
+Set('max', 16.0)
+To('..')
+Add('axis', name='y', autoadd=False)
+To('y')
+Set('label', 'Stress [MPa]')
+Set('direction', 'vertical')
+To('..')
+Add('key', name='key1', autoadd=False)
+To('key1')
+Set('horzPosn', 'right')
+Set('vertPosn', 'bottom')
+Set('horzManual', 0.0)
+Set('vertManual', 0.0)
+To('..')
+Add('xy', name='xy1', autoadd=False)
+To('xy1')
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+Set('xData', 'A3_Dehnung')
+Set('yData', 'A3_Standardkraft')
+Set('key', '25°C')
+To('..')
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+To('xy2')
+Set('marker', 'none')
+Set('xData', 'A2_Dehnung')
+Set('yData', 'A2_Standardkraft')
+Set('key', '100°C')
+To('..')
+Add('xy', name='xy3', autoadd=False)
+To('xy3')
+Set('marker', 'none')
+Set('xData', 'A1_Dehnung')
+Set('yData', 'A1_Standardkraft')
+Set('key', '400°C')
+To('..')
+Add('xy', name='xy4', autoadd=False)
+To('xy4')
+Set('marker', 'none')
+Set('xData', 'A4_Dehnung')
+Set('yData', 'A4_Standardkraft')
+Set('key', '500°C')
+To('..')
+Add('xy', name='xy5', autoadd=False)
+To('xy5')
+Set('marker', 'none')
+Set('xData', 'A14_Dehnung')
+Set('yData', 'A14_Standardkraft')
+Set('key', '600°C')
+To('..')
+Add('xy', name='xy6', autoadd=False)
+To('xy6')
+Set('marker', 'none')
+Set('xData', 'A6_Dehnung')
+Set('yData', 'A6_Standardkraft')
+Set('key', '700°C')
+To('..')
+To('..')
+To('..')
+Add('page', name='AUST', autoadd=False)
+To('AUST')
+Add('graph', name='graph1', autoadd=False)
+To('graph1')
+Add('axis', name='x', autoadd=False)
+To('x')
+Set('label', 'Strain [%]')
+To('..')
+Add('axis', name='y', autoadd=False)
+To('y')
+Set('label', 'Stress [MPa]')
+Set('direction', 'vertical')
+To('..')
+Add('key', name='key1', autoadd=False)
+To('key1')
+Set('horzPosn', 'right')
+Set('vertPosn', 'top')
+To('..')
+Add('xy', name='xy1', autoadd=False)
+To('xy1')
+Set('marker', 'none')
+Set('xData', 'A13_Dehnung')
+Set('yData', 'A13_Standardkraft')
+Set('key', '600°C')
+To('..')
+Add('xy', name='xy7', autoadd=False)
+To('xy7')
+Set('marker', 'none')
+Set('xData', 'A16_Dehnung')
+Set('yData', 'A16_Standardkraft')
+Set('key', '650°C')
+To('..')
+Add('xy', name='xy2', autoadd=False)
+To('xy2')
+Set('marker', 'none')
+Set('xData', 'A12_Dehnung')
+Set('yData', 'A12_Standardkraft')
+Set('key', '700°C')
+To('..')
+Add('xy', name='xy3', autoadd=False)
+To('xy3')
+Set('marker', 'none')
+Set('xData', 'A8_Dehnung')
+Set('yData', 'A8_Standardkraft')
+Set('key', '800°C')
+To('..')
+Add('xy', name='xy4', autoadd=False)
+To('xy4')
+Set('marker', 'none')
+Set('xData', 'A15_Dehnung')
+Set('yData', 'A15_Standardkraft')
+Set('key', '900°C')
+To('..')
+Add('xy', name='xy5', autoadd=False)
+To('xy5')
+Set('marker', 'none')
+Set('xData', 'A9_Dehnung')
+Set('yData', 'A9_Standardkraft')
+Set('key', '1000°C')
+To('..')
+Add('xy', name='xy6', autoadd=False)
+To('xy6')
+Set('marker', 'none')
+Set('xData', 'A10_Dehnung')
+Set('yData', 'A10_Standardkraft')
+Set('key', '1100°C')
+To('..')
+To('..')
+To('..')
+Add('page', name='MART', autoadd=False)
+To('MART')
+Add('graph', name='graph1', autoadd=False)
+To('graph1')
+Add('axis', name='x', autoadd=False)
+To('x')
+Set('label', 'Strain [%]')
+To('..')
+Add('axis', name='y', autoadd=False)
+To('y')
+Set('label', 'Stress [MPa]')
+Set('max', 2200.0)
+Set('direction', 'vertical')
+To('..')
+Add('key', name='key1', autoadd=False)
+To('key1')
+Set('vertPosn', 'bottom')
+To('..')
+Add('xy', name='xy1', autoadd=False)
+To('xy1')
+Set('marker', 'none')
+Set('xData', 'M8_Dehnung')
+Set('yData', 'M8_Standardkraft')
+Set('key', '26°C')
+To('..')
+Add('xy', name='xy2', autoadd=False)
+To('xy2')
+Set('marker', 'none')
+Set('xData', 'M7_Dehnung')
+Set('yData', 'M7_Standardkraft')
+Set('key', '100°C')
+To('..')
+Add('xy', name='xy3', autoadd=False)
+To('xy3')
+Set('marker', 'none')
+Set('xData', 'M6_Dehnung')
+Set('yData', 'M6_Standardkraft')
+Set('key', '200°C')
+To('..')
+Add('xy', name='xy4', autoadd=False)
+To('xy4')
+Set('marker', 'none')
+Set('xData', 'M5_Dehnung')
+Set('yData', 'M5_Standardkraft')
+Set('key', '300°C')
+To('..')
+Add('xy', name='xy5', autoadd=False)
+To('xy5')
+Set('marker', 'none')
+Set('xData', 'M3_Dehnung')
+Set('yData', 'M3_Standardkraft')
+Set('key', '350°C')
+To('..')
+To('..')
+To('..')

visualisation/data/stress_50CrMo4/.gitignore

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+.venv/
+output/

visualisation/data/stress_50CrMo4/ZV/A_weichgeglüht/A_RT/kp334-02_AP01_AD_weich_0,001_Ergebnisse.TXT

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+Proben-ID	m{lo E}	R{lo p0.1}	R{lo p0.2}	R{lo m}	A{lo g}	A   	Z   
+         	GPa    	MPa       	MPa       	MPa    	%      	%   	%   
+"RT"     	204    	504       	505       	721    	10,3   	22,7	61  

visualisation/data/stress_50CrMo4/ZV/A_weichgeglüht/B_300 - 600°C/kp334-02_AP01_AD_weichgeglüht_MayTec_A_Ergebnisse.TXT

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+Werkstoff	Proben-ID	m{lo E}	R{lo p0.1}	R{lo p0.2}	R{lo m}	A{lo g}	A   	A{lo manuell}	Z   	d{lo 0}	L{lo 0}	T   	Dauer
+         	         	GPa    	MPa       	MPa       	MPa    	%      	%   	%            	%   	mm     	mm     	°C  	min  
+"50CrMo4"	"Pr5"    	196    	429       	451       	721    	12,5   	28,2	             	65  	7,98   	30,00  	300 	20   
+"50CrMo4"	"Pr2"    	198    	406       	424       	617    	8,8    	33,8	             	78  	7,98   	30,00  	400 	20   
+"50CrMo4"	"Pr3"    	194    	352       	378       	477    	4,5    	36,9	             	86  	7,98   	30,00  	500 	20   
+"50CrMo4"	"Pr4"    	129    	289       	309       	329    	1,5    	44,1	             	93  	7,98   	30,00  	600 	20   

visualisation/data/stress_50CrMo4/ZV/B_normalisiert/A_RT/kp334-02_AP01_AD_norm_0,001_Ergebnisse.TXT

@@ -0,0 +1,3 @@
+Proben-ID	m{lo E}	R{lo p0.1}	R{lo p0.2}	R{lo eH}	R{lo eL}	R{lo m}	A{lo g}	A   	Z   
+         	GPa    	MPa       	MPa       	MPa     	MPa     	MPa    	%      	%   	%   
+"RT"     	208    	438       	434       	438     	434     	813    	10,1   	20,6	55  

visualisation/data/stress_50CrMo4/ZV/B_normalisiert/B_300 - 600°C/kp334-02_AP01_AD_normaliasiert_MayTec_A_neu.TXT

@@ -0,0 +1,6 @@
+Werkstoff	Proben-ID	m{lo E}	R{lo p0.1}	R{lo p0.2}	R{lo m}	A{lo g}	A   	A{lo manuell}	Z   	d{lo 0}	L{lo 0}	T   	Dauer
+         	         	GPa    	MPa       	MPa       	MPa    	%      	%   	%            	%   	mm     	mm     	°C  	min  
+"50CrMo4"	"Pr1"    	181    	302       	347       	820    	11,9   	34,7	             	75  	7,99   	30,00  	300 	20   
+"50CrMo4"	"Pr2"    	177    	293       	328       	681    	8,4    	32,9	             	83  	7,99   	30,00  	400 	20   
+"50CrMo4"	"Pr3"    	172    	277       	303       	528    	5,8    	37,1	             	90  	7,99   	30,00  	500 	20   
+"50CrMo4"	"Pr4"    	182    	232       	253       	354    	3,8    	52,5	             	86  	7,98   	30,00  	600 	20   

visualisation/data/stress_50CrMo4/true-flow-convert.py

@@ -0,0 +1,292 @@
+# -*- coding: utf-8 -*-
+"""Convert Stress-Strain Tables to true values.
+
+This Skript takes a stress-strain table or a collection of such and converts
+the technical strains into true strains.
+It is also capable of outputting comparison graphs of the converted tables.
+
+"""
+
+import os, sys, re
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+
+def parse_args():
+    import argparse
+
+    parser = argparse.ArgumentParser(description='Convert Stress-Strain Tables to true plastic flow values.',
+        usage='python %(prog)s [options] INPUTFILE [-o OUTPUTFILE]',
+        epilog='''
+        ''')
+
+    parser.add_argument('input',
+        metavar='INPUTFILE',
+        help='path to input file containing stress-strain data')
+
+    parser.add_argument('-v', '--version',
+        action='version',
+        version='%(prog)s 1.1')
+
+    parser.add_argument('-e',
+        action='store_true',
+        dest='autodetect_emod',
+        help='enables autodetection of Young\'s modulus. (currently nonfunctional)')
+
+    group0 = parser.add_mutually_exclusive_group()
+    group0.add_argument('-c',
+        action='store_true',
+        dest='compressionflag',
+        help='set computation for compressive test data.')
+
+    group0.add_argument('-n',
+        action='store_false',
+        dest='cut_at_uts',
+        help='extend computation of tensile data beyond ultimate tensile strength.')
+
+    parser.add_argument('-N',
+        action='store_false',
+        dest='cut_neg_slope',
+        help='allow exported data to have a negative slope (may cause errors in FEM).')
+
+    parser.add_argument('-x',
+        metavar = 'SCALE',
+        default = 1.0,
+        type = float,
+        dest='scale_x',
+        help='set scaling factor for X data. Defaults to 1.')
+
+    parser.add_argument('-y',
+        metavar = 'SCALE',
+        default = 1.0,
+        type = float,
+        dest='scale_y',
+        help='set scaling factor for Y data. Defaults to 1.')
+
+    parser.add_argument('-p',
+        action='store_true',
+        dest='plotflag',
+        help='plot transformation steps from technical to true flow curves.')
+
+    parser.add_argument('-P',
+        action='store_true',
+        dest='comparisonflag',
+        help='plot comparison of true flow curves.')
+
+    group = parser.add_mutually_exclusive_group()
+    group.add_argument('-r',
+        metavar=('X', 'Y'),
+        type=float,
+        nargs=2,
+        dest='range_man',
+        help='''set global plot range in X-axis (strain, dimensionless)
+            and Y-axis (stress, MPa).''')
+
+    group.add_argument('-a',
+        action='store_true',
+        dest='range_auto',
+        help='''determine global plot range automatically.''')
+
+    parser.add_argument('-o',
+        metavar='OUTPUTFILE',
+        type=str,
+        dest='output',
+        help='output file path')
+
+    parser.add_argument('-s',
+        action='store_true',
+        dest='serial',
+        help='concatinates all curves for import into Abaqus.')
+
+    parser.add_argument('-t',
+        metavar = 'LENGTH',
+        default = 0,
+        type = int,
+        dest='output_length',
+        help='constrain output to a maximum length.')
+
+    return parser.parse_args()
+
+def sanitize_title(s):
+    """turns a unicode or string into a purely alphanumeric string."""
+    return str(s.encode('ascii', 'ignore').decode())
+
+def reduce_lenth(data):
+    num_split = args.output_length
+    assert num_split>2
+    first = data[0]
+    last = data[-1]
+    rest = data[1:-1]
+    subs = np.array_split(rest, num_split-2)
+    short = np.array([a.mean() for a in subs if a.size!=0])
+    return np.insert(short, [0,len(short)], [first, last])
+
+
+if __name__=="__main__":
+    args = parse_args()
+    
+    inpath = os.path.abspath(args.input)
+
+    datafile = pd.ExcelFile(inpath)
+    sheets = datafile.sheet_names
+    frames = {sheet:datafile.parse(sheet) for sheet in sheets}
+
+    if args.output:
+        outpath = os.path.abspath(args.output)
+        outfilename, ext = os.path.splitext(outpath)
+    else:
+        outpath = outfilename = ext = False
+
+    if args.range_man:
+        xmax, ymax = args.range_man
+
+    if args.range_auto:
+        xmax = 0
+        ymax = 0
+        for frame in frames.values():
+            e_data, sig_data = np.transpose(frame.values)[:2] * np.array([args.scale_x, args.scale_y])
+            xmax = max(xmax, np.max(np.abs(e_data)))
+            ymax = max(ymax, np.max(sig_data*(e_data + 1)))
+        xmax = 1.05 * xmax
+        ymax = 1.05 * ymax
+
+    e_max_global = 0
+    s_max_global = 0
+    df_dict = {}
+
+    for title, frame in frames.items():
+
+        print(title)
+        temp = sanitize_title(title)
+
+        e_data, sig_data, Emod = np.transpose(frame.values)[:3]
+
+        Emod = Emod[0] * args.scale_y
+        e_tech = e_data * args.scale_x
+        sig_tech = sig_data * args.scale_y
+        assert np.sign(np.median(sig_tech)) == np.sign(np.median(e_tech)), "Stress and strain do not seem to share sign!"
+
+        if Emod not in (np.inf, -np.inf, 0):
+            e_tech_plastic = e_tech - e_tech[0] - sig_tech/Emod
+        else:
+            e_tech_plastic = e_tech
+
+        try:
+            idx_plastic = np.where(e_tech_plastic < 0)[0][-1]
+        except IndexError:
+            idx_plastic = 0
+
+        if args.compressionflag:
+            e_true = -np.log(1 - e_tech)
+            e_true_plastic = -np.log(1 - e_tech_plastic)
+            sig_true = sig_tech * (1 - e_tech)
+            idx_ultimate = -1
+        else:
+            e_true = np.log(1 + e_tech)
+            e_true_plastic = np.log(1 + e_tech_plastic)
+            sig_true = sig_tech * (1 + e_tech)
+            if args.cut_at_uts:
+                smax = np.max(sig_tech)
+                idx_ultimate = np.where(sig_tech == smax)[0][0]
+            else:
+                idx_ultimate = -1
+
+        sig_slice = sig_true[idx_plastic:idx_ultimate]
+        e_slice = e_true_plastic[idx_plastic:idx_ultimate]
+
+        if args.cut_neg_slope:
+            idx_negative_slope = [i for i in range(len(sig_slice)) if i != np.argmax(sig_slice[0:i+1])]
+            sig_slice = np.delete(sig_slice, idx_negative_slope)
+            e_slice = np.delete(e_slice, idx_negative_slope)
+
+        e_slice[0] = 0
+
+        if args.output_length > 0:
+            e_slice = reduce_lenth(e_slice)
+            sig_slice = reduce_lenth(sig_slice)
+
+        e_max_global = max(e_max_global, np.max(e_slice))
+        s_max_global = max(s_max_global, np.max(sig_slice))
+
+        df_dict[temp] = pd.DataFrame({'Sig':sig_slice, 'Eps':e_slice})
+
+        if args.plotflag:
+            plt.figure(figsize=[5, 2.8])
+            plt.plot(e_tech, sig_tech/args.scale_y, 'g')
+            plt.plot(e_true, sig_true/args.scale_y, 'r')
+            plt.plot(e_true[idx_plastic:idx_ultimate], sig_true[idx_plastic:idx_ultimate]/args.scale_y, 'k')
+            plt.plot(e_slice, sig_slice/args.scale_y, 'b')
+            plt.title(title)
+            plt.ylabel(r'$\sigma$ [MPa]')
+            plt.xlabel(r'$\epsilon$ [-]')
+            if args.range_auto or args.range_man:
+                plt.ylim(0, ymax)
+                plt.xlim(0, xmax)
+            plt.grid(True, which='major', linestyle='--')
+            plt.grid(True, which='minor', linestyle=':')
+
+            # plt.axes().set_aspect('equal')
+            if outpath:
+                plotpath = '{}_{}.png'.format(os.path.splitext(outpath)[0],temp)
+                plt.savefig(plotpath, bbox_inches="tight", dpi=144)
+            else:
+                plt.show()
+            plt.close()
+
+    if args.comparisonflag:
+        plt.figure(figsize=[5, 2.8])
+        for temp, frame in df_dict.items():
+            e_frame = frame['Eps']
+            sig_frame = frame['Sig']
+            plt.plot(e_frame, sig_frame/args.scale_y, label=temp)
+        plt.title('True Stress-Strain Curves')
+        plt.ylabel(r'$\sigma$ [MPa]')
+        plt.xlabel(r'$\epsilon$ [-]')
+        if args.range_auto or args.range_man:
+            plt.ylim(0, ymax)
+            plt.xlim(0, xmax)
+        else:
+            plt.ylim(0, s_max_global/args.scale_y*1.05)
+            plt.xlim(0, e_max_global*1.05)
+        plt.grid(True, which='major', linestyle='--')
+        plt.grid(True, which='minor', linestyle=':')
+        plt.legend(loc='lower right')
+
+        # plt.axes().set_aspect('equal')
+        if outpath:
+            plotpath = outfilename + '.png'
+            plt.savefig(plotpath, bbox_inches="tight", dpi=144)
+        else:
+            plt.show()
+        plt.close()
+
+    if args.output and args.serial:
+        frame_out = pd.DataFrame(columns=['Sig', 'Eps', 'T'])
+        for temp, frame in df_dict.items():
+            nums = re.findall(r"[-+]?\d*\.\d+|\d+", temp)
+            try:
+                frame['T'] = int(nums[0])
+            except ValueError:
+                frame['T'] = float(nums[0])
+            except IndexError as e:
+                raise e('Could not extract number from frame title to use as temperature!')
+            frame_out = frame_out.append(frame, ignore_index=True, sort=False)
+        frame_out.sort_values(by=['T', 'Eps'], inplace=True)
+        frame_out = frame_out.reindex(columns=['Sig', 'Eps', 'T'])
+
+        if ext and ext.lower() in ['.xls', '.xlsx']:
+            frame_out.to_excel(outpath,index=False)
+        else:
+            frame_out.to_csv(outpath,index=False)
+    elif args.output:
+        if ext and ext.lower() in ['.xls', '.xlsx']:
+            with pd.ExcelWriter(outpath) as writer:
+                for temp, frame in df_dict.items():
+                    frame.to_excel(writer, sheet_name=temp,
+                        index=False)
+        else:
+            for temp, frame in df_dict.items():
+                newpath = ("_{}".format(temp)).join(os.path.splitext(outpath))
+                frame.to_csv(newpath ,index=False)
+    else:
+        pass #frame_out.to_csv(sys.stdout,index=False)