hovedguy

import section
import regionToolset
import displayGroupMdbToolset as dgm
import part
import material
import assembly
import step
import interaction
import load
import mesh

hovedguy

from abaqus import *
from abaqusConstants import *
import __main__
import visualization
import xyPlot
import displayGroupOdbToolset as dgo
import numpy as np
import os
import tempfile
import shutil

hovedguy

import numpy as np
import pandas as pd
import os

directory = r"C:\Users\suvop\OneDrive\Desktop\inp read"
file_name = "Job-1"
full_path = os.path.join(directory, file_name + ".inp")

with open(full_path, "r") as f:
    f_data = f.read()

hovedguy

from part import *
from material import *
from section import *
from assembly import *
from step import *
from interaction import *
from load import *
from mesh import *
from optimization import *
from job import *

hovedguy

from part import *
from material import *
from section import *
from assembly import *
from step import *
from interaction import *
from load import *
from mesh import *
from optimization import *
from job import *

hovedguy

import numpy as np
import os

directory = r"C:\Suvopam\ABA\08_vPumps_CD"
file_name = "cog_cline_coords"
full_path = os.path.join(directory,file_name + ".csv" )
arr = np.genfromtxt(full_path, unpack=False , skip_header=1, filling_values=np.NaN, delimiter=";")


def multi_point_tuple_creator(arr_):

hovedguy

from part import *
from material import *
from section import *
from assembly import *
from step import *
from interaction import *
from load import *
from mesh import *
from optimization import *
from job import *

hovedguy

from part import *
from material import *
from section import *
from assembly import *
from step import *
from interaction import *
from load import *
from mesh import *
from optimization import *
from job import *

hovedguy

import pandas as pd
import quandl, math
quandl.ApiConfig.api_key = 'Ssn1muRqsyT5SBvP3wDm'

df = quandl.get("WIKI/GOOGL")
# print(df.head())
# print(df.shape)

df = df[['Adj. Open',  'Adj. High',  'Adj. Low',  'Adj. Close', 'Adj. Volume']]
df['HL_PCT'] = (df['Adj. High'] - df['Adj. Low']) / df['Adj. Close'] * 100.0

hovedguy

from part import *
from material import *
from section import *
from assembly import *
from step import *
from interaction import *
from load import *
from mesh import *
from optimization import *
from job import *