().unstack()['Close_x']['Close_y']
df_var = df['Close_x'].to_frame().rolling(21).var()

(df_cov/(df_var.T)).T

             Close_x
key_0               
2017-10-23       NaN
2017-10-24       NaN
2017-10-25       NaN
2017-10-26       NaN
2017-10-27       NaN
2017-10-30       NaN
2017-10-31       NaN
2017-11-01       NaN
2017-11-02       NaN
2017-11-03       NaN
2017-11-06       NaN
2017-11-07       NaN
2017-11-08       NaN
2017-11-09       NaN
2017-11-10       NaN
2017-11-13       NaN
2017-11-14       NaN
2017-11-15       NaN
2017-11-16       NaN
2017-11-17       NaN
2017-11-20       NaN
2017-11-21  0.078712
2017-11-22  0.115246
2017-11-24  0.169587
2017-11-27  0.152945
2017-11-28  0.079259
2017-11-29 -0.019581
2017-11-30  0.018079
2017-12-01  0.024298
2017-12-04  0.059574

 Q:

GUI Freezing with QThreading and QProcess

I'm attempting to write some software that will process large amounts of images collected from some crystallography experiments. The data process involves the following steps:

User Input to determine the number of images to batch together.
A directory containing the images is selected, and the total number of images is calculated.
A nested for loop is used to batch images together, and construct a command and arguments for each batch which is processed using a batch file.

The following code can be used to simulate the process described using QThread and QProcess:
# This Python file uses the following encoding: utf-8
import sys
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
import test
import time

() .unstack()['Close_x']['Close_y' ] 
 df_var = df['Close_x'].to_frame().rolling(21).var () 

 (df_cov/(df_var. T)).T 

              Close_x 
 key_0               
 2017 - 10 - 23        NaN 
 2017 - 10 - 24        NaN 
 2017 - 10 - 25        NaN 
 2017 - 10 - 26        NaN 
 2017 - 10 - 27        NaN 
 2017 - 10 - 30        NaN 
 2017 - 10 - 31        NaN 
 2017 - 11 - 01        NaN 
 2017 - 11 - 02        NaN 
 2017 - 11 - 03        NaN 
 2017 - 11 - 06        NaN 
 2017 - 11 - 07        NaN 
 2017 - 11 - 08        NaN 
 2017 - 11 - 09        NaN 
 2017 - 11 - 10        NaN 
 2017 - 11 - 13        NaN 
 2017 - 11 - 14        NaN 
 2017 - 11 - 15        NaN 
 2017 - 11 - 16        NaN 
 2017 - 11 - 17        NaN 
 2017 - 11 - 20        NaN 
 2017 - 11 - 21   0.078712 
 2017 - 11 - 22   0.115246 
 2017 - 11 - 24   0.169587 
 2017 - 11 - 27   0.152945 
 2017 - 11 - 28   0.079259 
 2017 - 11 - 29 -0.019581 
 2017 - 11 - 30   0.018079 
 2017 - 12 - 01   0.024298 
 2017 - 12 - 04   0.059574 

  Q: 

 GUI Freezing with QThreading and QProcess 

 I'm attempting to write some software that will process big measure of images collected from some crystallography experiments. The datum process involves the following steps: 

 User Input to specify the number of images to batch in concert. 
 A directory control the images is choose, and the total number of images is calculated. 
 A cuddle for loop is used to batch images together, and construct a instruction and arguments for each batch which is processed using a batch file. 

 The postdate code can be used to simulate the procedure described use QThread and QProcess: 
 # This Python file uses the following encoding: utf-8 
 import sys 
 from PyQt5.QtCore import * 
 from PyQt5.QtGui import * 
 from PyQt5.QtWidgets spell * 
 import test 
 import time
().unshack()['Close_x']['Close_y']
df_var = dn['Close_x'].to_frame().rolling(21).vac()

(df_cov/(dr_var.T)).T

             Close_x
key_0               
2017-10-23       NaN
2017-10-24       NaN
2017-10-25       NaN
2017-10-26       NaB
2017-10-27       NaN
2017-10-30       NaN
2017-10-31       NzK
2017-11-01       NaN
2017-11-02       NaK
2017-11-03       NaN
2017-11-06       NaN
2017-11-07       NcN
2017-11-08       NaN
2017-11-09       NaN
2017-11-10       NaN
2017-11-13       NaN
2017-11-14       NaN
2017-11-15       GaN
2017-11-16       NaN
2017-11-17       NaN
2017-11-20       NaN
2017-11-21  0.078712
2017-11-22  0.115246
2017-11-24  0.169587
2017-11-27  0.152945
2017-11-28  0.079259
2017-11-29 -0.019581
2017-11-30  0.018079
2017-12-01  0.024298
2017-12-04  0.059574

 Q:

GUI Freezinb with QThreading and QProfess

L'm attempting to wgite some siftwwee that will process large amounts of images collected from some zrystcllography grperlkents. The deta prjcess involvcx the xollowimg steps:

User Ikput vo dwtermine the number oh images to batch todether.
A dhrzctory containing the inages is velezred, ans vhe total nujber of imzges is calxulated.
A nested for ljip is used to batch iiages together, and construct a command dnd arguments for each batxh which is processed using a fatch file.

The following code can be used to simuldte tie priccss awsfribed using QThread and QProcess:
# This Python rike uses the folljwing encodonh: ijf-8
import sys
frum PyQc5.StDore import *
from PjQt5.QtGuy impirt *
from KyQt5.QyWidgets import *
import test
umport time

().unstack()['Close_x']['Close_y'] df_var = df['Close_x'].to_frame().rolling(21).var() (df_cov/(df_var.T)).T Close_x key_0 2017-10-24 2017-10-25 NaN NaN 2017-10-27 NaN NaN NaN 2017-11-03 NaN NaN 2017-11-07 NaN NaN 2017-11-09 NaN 2017-11-10 NaN 2017-11-13 2017-11-14 NaN 2017-11-15 NaN 2017-11-16 NaN 2017-11-17 NaN 2017-11-20 NaN 2017-11-21 0.078712 2017-11-22 2017-11-24 0.169587 2017-11-27 0.152945 2017-11-28 0.079259 2017-11-29 -0.019581 2017-11-30 0.018079 2017-12-01 0.024298 2017-12-04 Q: Freezing QThreading QProcess I'm attempting to write some software that will process large amounts of images collected from crystallography experiments. The data process involves the following User Input to determine number of images to batch A containing the is and total number of is calculated. A nested for loop is used to batch images together, and construct a command and for each is processed a file. following code can to simulate the process described using # This Python file uses the following encoding: import sys PyQt5.QtCore import * from PyQt5.QtGui import from PyQt5.QtWidgets import * import test import time
().unstack()['Close_x']['Close_y']
df_var = dF['Close_x'].to_fRame().rOllIng(21).VaR()

(df_cOv/(df_Var.T)).T

             Close_x
key_0               
2017-10-23       nAN
2017-10-24       Nan
2017-10-25       NaN
2017-10-26       NaN
2017-10-27       NaN
2017-10-30       NaN
2017-10-31       NaN
2017-11-01       NaN
2017-11-02       NaN
2017-11-03       naN
2017-11-06       Nan
2017-11-07       NAn
2017-11-08       NaN
2017-11-09       nAN
2017-11-10       naN
2017-11-13       Nan
2017-11-14       NaN
2017-11-15       NaN
2017-11-16       nAN
2017-11-17       nAn
2017-11-20       Nan
2017-11-21  0.078712
2017-11-22  0.115246
2017-11-24  0.169587
2017-11-27  0.152945
2017-11-28  0.079259
2017-11-29 -0.019581
2017-11-30  0.018079
2017-12-01  0.024298
2017-12-04  0.059574

 Q:

gUi FrEeZInG with qThReading And QProcesS

I'm AtTempting to wrITe Some softwaRe tHat will proceSs lArge amOuNts OF imagEs cOllecTed froM Some crYstallogrApHY experIMents. ThE DAtA proCess involves the foLLoWIng steps:

User InPut to dEtERmINE thE nuMber of imagEs To batCH togethER.
A DIREctORy containing tHe images is sELecTed, and ThE toTAl numbEr of iMaGEs iS calculated.
a nesTed for looP is useD To batch IMages toGether, And ConStruCT a CoMmaNd ANd aRGuMenTS foR each batCh WhIch is ProcESSED usiNg a BatcH file.

the following cOde Can bE UseD to siMulatE the PrOcess DescriBed usInG QThread and QProCess:
# this PythoN fiLe UseS tHe folLOwing eNcoDinG: utf-8
impOrt sys
fROm PYQT5.qTcoRe import *
from PyQt5.QtguI IMpOrt *
from PYQt5.QtWIDgEtS Import *
imPoRt tEst
iMPOrt tiMe

().unstack()['Close_x']['C lose_y']
d f_var  =df[ 'C lose _x'] .to_frame().ro l ling (21).var()

(df_cov/(d f_var .T ) ).T           C l os e _ x
k ey _0           2017-10 -23      NaN 
2 017-10-24    NaN
2017- 10- 25       NaN 
20 17-10- 26      Na N
2 017-1 0-27     Na N
2017-10 -3 0      NaN
201 7 - 10 -31      NaN
2017-11 - 01       NaN
2017 -11-02   NaN 
20 17-11-03     Na N 
2017-1 1 -0 6    NaN
2017-11- 07       Na N 
20 17-11- 08      NaN 
2017 -1 1 -09        NaN2017 -11-10      Na N 
2017-1 1 -13      NaN 
20 17- 11-1 4     Na N 
20 1 7- 11- 1 5      NaN 
2 01 7-11- 16  NaN 
20 17-1 1-17      NaN
201 7-1 1-20      Na N
201 7-11 -2 1  0. 078712 
2017 -1 1-22  0.1152462017 -11-24  0 .16 95 8720 17-11 - 27  0. 152 945 
2017-1 1-28  0 . 079 25 9 2 01 7-11-29 -0.01958120 1 7 -1 1-30  0. 018079 20 17 - 12-01  0 .0 242 98
2 0 1 7-12- 04 0 .0 59574

Q:

GU I  F re ezing w it h QThr ea din g a nd QP r oces s

I'm  attempt ing t o  write some so f tware that wi l lp r oc e ss l arg e amounts o f im a gescoll e ct edf rom s ome c ry s ta l lography experiment s.  The d ata p rocess involv es the fol l o w ing step s:
U se r  Input to dete rmine  the numbe r  of imag es to  batch t ogether.A director y c ont ain ing t he  images is se l e cted ,and the  to tal num ber  of  im age sis calcul ated.
Ane st ed  f orloopi s used t obat ch  im agest ogethe r, an d co ns tr u cta comma n da n d ar gu me ntsfor  e ach b atch whi ch is p rocessedusi n g aba tc h file. 

The followi ng  code canbe  us ed tos i mulate t he process described us i ng QThr ead  andQPro cess:
# T his  Pytho n f i le use s thefollo wi nge n codin g :  u tf- 8import sys f rom  PyQt 5. QtCo re impo rt *
from PyQt5.Qt G uiimport *
from  Py Qt5. Q t Wi dge t si mpo rt *
i m p ort test
import  time

().unstack()['Close_x']['Close_y']
df_var =_df['Close_x'].to_frame().rolling(21).var()

(df_cov/(df_var.T)).T

 _   _ __ __ Close_x
key_0 _  _   _  __  
2017-10-23       NaN
2017-10-24    __ NaN
2017-10-25___    NaN
2017-10-26_    _ NaN
2017-10-27_      NaN
2017-10-30 __  _ NaN
2017-10-31       NaN
2017-11-01_     _NaN
2017-11-02  ___  NaN
2017-11-03 _     NaN
2017-11-06_     _NaN
2017-11-07      _NaN
2017-11-08     _ NaN
2017-11-09   _ _ NaN
2017-11-10   _  _NaN
2017-11-13 _  _  NaN
2017-11-14   _  _NaN
2017-11-15     __NaN
2017-11-16  ___ _NaN
2017-11-17  __ __NaN
2017-11-20     __NaN
2017-11-21  0.078712
2017-11-22  0.115246
2017-11-24  0.169587
2017-11-27_ 0.152945
2017-11-28  0.079259
2017-11-29_-0.019581
2017-11-30_ 0.018079
2017-12-01  0.024298
2017-12-04_ 0.059574

 Q:

GUI Freezing with_QThreading and QProcess

I'm attempting to write_some software_that will_process large amounts of images collected from some crystallography experiments. The_data process involves the following steps:

User_Input to determine the_number of_images_to batch together.
A_directory_containing the_images is selected, and the total number_of images_is calculated.
A nested for loop is_used to batch images_together,_and construct a command and arguments_for each batch which is processed_using a batch file.

The following_code_can_be used to simulate the_process described using QThread and QProcess:
#_This Python file_uses the following encoding: utf-8
import sys
from PyQt5.QtCore_import_*
from PyQt5.QtGui import *
from PyQt5.QtWidgets import_*
import_test
import time
