Python load_arr_from_file Beispiele

Beispiel #1

Datei: watterson_analysis_echo.py Projekt: raytone813/py_tdx

def echoGraph():
    
    dataList = pickle_util.load_arr_from_file('temp.arr')
    arr = []
    for k in dataList:
        # (0)id (1)d5 (2)d10 (3)d15 (4)d1 (5)ma20 (6)lastCL (7)watIndex (8)rd1 (9)lastTime (10) name
        arr.append([k[7], k[8], k[6]])
    arr = array(arr)
    watterson_analysis.showPlotExtend(arr, ddta = 5, hideDot = 1, restrict_cl = (0,9999))

Beispiel #2

Datei: watterson_analysis_echo.py Projekt: zofuthan/py_tdx

def echoGraph():

    dataList = pickle_util.load_arr_from_file('temp.arr')
    arr = []
    for k in dataList:
        # (0)id (1)d5 (2)d10 (3)d15 (4)d1 (5)ma20 (6)lastCL (7)watIndex (8)rd1 (9)lastTime (10) name
        arr.append([k[7], k[8], k[6]])
    arr = array(arr)
    watterson_analysis.showPlotExtend(arr,
                                      ddta=5,
                                      hideDot=1,
                                      restrict_cl=(0, 9999))

Beispiel #3

Datei: watterson_list_disp.py Projekt: zofuthan/py_tdx

import pickle_util
'''
varname = ['ID', 'd5', 'd10','d15',
            'd1', 'ma20', 'last_cl','wattIndex',
           'rd1','lastTime', 'name', 'd30',\
            'variance', 'd180', 'fast_grow', 'fast_fall', 
            'tdx_delta']
'''


def turnArrayToFile(arr):

    # get max day num
    maxd = 0
    for k in range(0, 50):
        maxd = max(maxd, arr[k][9])

    # write to file
    f = open('arr' + str(maxd) + '.txt', 'w')
    for k in range(0, 500):
        sstr = str(arr[k][10]) + '\t' + str(arr[k][7]) + '\t' + str(
            arr[k][14]) + '\t' + str(arr[k][15])
        f.write(sstr + '\n')
    f.close()


if __name__ == '__main__':
    arr = pickle_util.load_arr_from_file('temp0331.arr')
    turnArrayToFile(arr)

Beispiel #4

Datei: cash3.py Projekt: oxmcvusd/libqda

import pickle_util

# this one perform sort of list departed from cash2

def printTheList(result_list):
    for tt in result_list:
        print tt[0].fname.replace('\0',' ')
        print tt[0].fid.replace('\0',' ')
        print tt[1]

result_list = pickle_util.load_arr_from_file("shake.txt")

result_list.sort(key = lambda x: x[1])

printTheList( result_list)

Beispiel #5

Datei: cash3.py Projekt: sunmenghao-gmail/libqda

import pickle_util

# this one perform sort of list departed from cash2


def printTheList(result_list):
    for tt in result_list:
        print tt[0].fname.replace('\0', ' ')
        print tt[0].fid.replace('\0', ' ')
        print tt[1]


result_list = pickle_util.load_arr_from_file("shake.txt")

result_list.sort(key=lambda x: x[1])

printTheList(result_list)

Beispiel #6

Datei: watterson_list_disp.py Projekt: raytone813/py_tdx

import pickle_util

'''
varname = ['ID', 'd5', 'd10','d15',
            'd1', 'ma20', 'last_cl','wattIndex',
           'rd1','lastTime', 'name', 'd30',\
            'variance', 'd180', 'fast_grow', 'fast_fall', 
            'tdx_delta']
'''
def turnArrayToFile(arr):
    
    # get max day num
    maxd = 0
    for k in range(0,50):
        maxd = max(maxd, arr[k][9])
    
    # write to file
    f = open('arr'+ str(maxd)+'.txt', 'w')
    for k in range(0,500):
        sstr = str(arr[k][10])+'\t'+ str(arr[k][7])+'\t'+ str(arr[k][14])+'\t'+ str(arr[k][15])
        f.write(sstr+'\n')
    f.close()

if __name__=='__main__':
    arr = pickle_util.load_arr_from_file('temp0331.arr')
    turnArrayToFile(arr)