Best Python code snippet using selene_python
balance_data.py
Source: balance_data.py
1import numpy as np2import pandas as pd3import os4import cv25from collections import Counter6from input_choices import \7 input_w, input_a, input_s, input_d, \8 input_wa, input_wd, input_ws, input_wsa, \9 input_wsd, input_sa, input_sd, input_nk10from random import shuffle11# for looking at and balancing data sets12# train_data = np.load('data/โtraining_data-1.npy', allow_pickle=True)13# data_frame = pd.DataFrame(train_data)14# print(data_frame.head())15# print(Counter(data_frame[1].apply(str)))16# for data in train_data:17# img = data[0]18# choice = data[1]19# cv2.imshow('test', img)20# print(choice)21# print(img.shape)22# if cv2.waitKey(25) & 0xFF == ord('q'):23# cv2.destroyAllWindows()24# break25# all possible inputs26collected_input_w = []27collected_input_a = []28collected_input_s = []29collected_input_d = []30collected_input_wa = []31collected_input_wd = []32collected_input_ws = []33collected_input_wsa = []34collected_input_wsd = []35collected_input_sa = []36collected_input_sd = []37collected_input_nk = []38# load data39starting_value = 140while True:41 file_name = 'data/โtraining_data-{}.npy'.format(starting_value)42 if os.path.isfile(file_name):43 # load existing data44 print('training_data-{}.npy exists! Loading data...'.format(starting_value))45 curr_data_set = np.load(file_name, allow_pickle=True)46 # analyze data47 data_frame = pd.DataFrame(curr_data_set)48 print(Counter(data_frame[1].apply(str)))49 # split data into singular arrays defined above50 for data in curr_data_set:51 img = data[0]52 choice = data[1]53 if choice == input_w:54 collected_input_w.append([img, choice])55 elif choice == input_a:56 collected_input_a.append([img, choice])57 elif choice == input_s:58 collected_input_s.append([img, choice])59 elif choice == input_d:60 collected_input_d.append([img, choice])61 elif choice == input_wa:62 collected_input_wa.append([img, choice])63 elif choice == input_wd:64 collected_input_wd.append([img, choice])65 elif choice == input_ws:66 collected_input_ws.append([img, choice])67 elif choice == input_wsa:68 collected_input_wsa.append([img, choice])69 elif choice == input_wsd:70 collected_input_wsd.append([img, choice])71 elif choice == input_sa:72 collected_input_sa.append([img, choice])73 elif choice == input_sd:74 collected_input_sd.append([img, choice])75 elif choice == input_nk:76 collected_input_nk.append([img, choice])77 else:78 print("No match for data found!")79 starting_value += 180 else:81 break82collected_data = [collected_input_w, collected_input_a, collected_input_s, collected_input_d,83 collected_input_wa, collected_input_wd, collected_input_ws, collected_input_wsa,84 collected_input_wsd, collected_input_sa, collected_input_sd, collected_input_nk]85total_len = 086highest_nb_input = 087input_idx = 188for cdi in collected_data:89 total_len += len(cdi)90 print(f"Len of current cdi: {len(cdi)}")91 if len(cdi) > highest_nb_input:92 highest_nb_input = len(cdi)93 input_idx += 194avg_len = total_len /โ input_idx95print(f"Average amount of inputs: {avg_len}")96print(f"Highest number of inputs: {highest_nb_input}")97max_samples_allowed = int(highest_nb_input /โ 2)98balanced_data = []99for cdi in collected_data:100 curr_cdi = cdi101 while len(curr_cdi) < max_samples_allowed:102 print(f"curr_cdi len {len(curr_cdi)}")103 curr_cdi += curr_cdi104 if len(curr_cdi) >= max_samples_allowed:105 cdi_limited = curr_cdi[:max_samples_allowed]106 print(f"FINAL curr_cdi len {len(cdi_limited)}")107 balanced_data += cdi_limited108 else:109 balanced_data += cdi110shuffle(balanced_data)111# analyze data112data_frame = pd.DataFrame(balanced_data)113print(Counter(data_frame[1].apply(str)))114np.save("data/โtraining_data_balanced.npy", balanced_data)115# avg_len = (len(collected_input_w) + len(collected_input_a) + len(collected_input_s) + len(collected_input_d)116# + len(collected_input_wa) + len(collected_input_wd) + len(collected_input_ws) + len(collected_input_wsa)117# + len(collected_input_wsd) + len(collected_input_sa) + len(collected_input_sd) + len(collected_input_nk)) \...
NCBI_Biosample_batch.py
Source: NCBI_Biosample_batch.py
1#!/โopt/โPython/โ2.7.3/โbin/โpython2import sys3from collections import defaultdict4import numpy as np5import re6import os7import argparse8import glob9from Bio import SeqIO10sys.path.append('/โrhome/โcjinfeng/โBigData/โsoftware/โProgramPython/โlib')11from utility import gff_parser, createdir12def usage():13 test="name"14 message='''15python CircosConf.py --input circos.config --output pipe.conf16 '''17 print message18def runjob(script, lines):19 cmd = 'perl /โrhome/โcjinfeng/โsoftware/โbin/โqsub-pbs.pl --maxjob 30 --lines %s --interval 120 --resource nodes=1:ppn=12,walltime=100:00:00,mem=20G --convert no %s' %(lines, script)20 #print cmd 21 os.system(cmd)22def fasta_id(fastafile):23 fastaid = defaultdict(str)24 for record in SeqIO.parse(fastafile,"fasta"):25 fastaid[record.id] = 126 return fastaid27#RIL1 1 /โrhome/โcjinfeng/โRice/โRIL/โIllumina_correct/โRIL1_0/โRIL1_0_CGTACG_FC153L5_p1.fq.gz28def read_list(infile):29 data = defaultdict(lambda : int())30 with open (infile, 'r') as filehd:31 for line in filehd:32 line = line.rstrip()33 if len(line) > 2: 34 unit = re.split(r'\t',line)35 ril = re.sub(r'RIL', r'', unit[0])36 data[ril] = 137 return data38def NCBI_biosample(rils, tsv):39 ofile = open(tsv, 'a')40 for ril in sorted(rils.keys(), key=int):41 #print ril42 print >> ofile, 'RIL%s\tnot collected\tPRJNA316308\tOryza Sativa\tnot collected\tNipponbare x HEG4 RIL%s\tTemperate Japonica\tnot collected\tSeedling\tnot collected\tLeaf\tSusan Wessler\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected\tnot collected' %(ril, ril) 43 ofile.close()44def main():45 parser = argparse.ArgumentParser()46 parser.add_argument('-i', '--input')47 parser.add_argument('-o', '--output')48 parser.add_argument('-v', dest='verbose', action='store_true')49 args = parser.parse_args()50 try:51 len(args.input) > 052 except:53 usage()54 sys.exit(2)55 #cp Plant.1.0.tsv RILs_272.NCBI_biosample.tsv56 os.system('cp ../โinput/โPlant.1.0.tsv RILs_272.NCBI_biosample.tsv')57 rils = read_list(args.input) 58 NCBI_biosample(rils, 'RILs_272.NCBI_biosample.tsv')59if __name__ == '__main__':...
01.py
Source: 01.py
1cost = float(input())2num_of_months = int(input())3collected = 0.04for i in range(1, num_of_months + 1):5 if i % 2 != 0:6 collected -= collected * 0.167 elif i % 4 == 0:8 collected += collected * 0.259 collected += cost * 0.2510if collected >= cost:11 print(f"Bravo! You can go to Disneyland and you will have {(collected - cost):.2f}lv. for souvenirs.")12else:...
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