import pandas as pd
efile="./8519771/10folds_ne_majvote_vert_corrected.csv"
nefile="./download/oc_net_256/test/final_weighted_vote.csv"

edf=pd.read_csv(efile,index_col='id')
nedf=pd.read_csv(nefile,index_col='id')

for index in nedf.index:
    if type(edf.loc[index]['rle_mask'])==float:
        #print(edf.loc[index]['rle_mask'])
        nedf.loc[index]['rle_mask']=edf.loc[index]['rle_mask']
nedf.to_csv("./download/oc_net_256/test/final_weighted_vote_with_0.871empty.csv")
d7c53c6a24fed36707c35cae20caec837353c1c0
<mask token>

<mask token>
for index in nedf.index:
    if type(edf.loc[index]['rle_mask']) == float:
        nedf.loc[index]['rle_mask'] = edf.loc[index]['rle_mask']
nedf.to_csv(
    './download/oc_net_256/test/final_weighted_vote_with_0.871empty.csv')

<mask token>
efile = './8519771/10folds_ne_majvote_vert_corrected.csv'
nefile = './download/oc_net_256/test/final_weighted_vote.csv'
edf = pd.read_csv(efile, index_col='id')
nedf = pd.read_csv(nefile, index_col='id')
for index in nedf.index:
    if type(edf.loc[index]['rle_mask']) == float:
        nedf.loc[index]['rle_mask'] = edf.loc[index]['rle_mask']
nedf.to_csv(
    './download/oc_net_256/test/final_weighted_vote_with_0.871empty.csv')

import pandas as pd
efile = './8519771/10folds_ne_majvote_vert_corrected.csv'
nefile = './download/oc_net_256/test/final_weighted_vote.csv'
edf = pd.read_csv(efile, index_col='id')
nedf = pd.read_csv(nefile, index_col='id')
for index in nedf.index:
    if type(edf.loc[index]['rle_mask']) == float:
        nedf.loc[index]['rle_mask'] = edf.loc[index]['rle_mask']
nedf.to_csv(
    './download/oc_net_256/test/final_weighted_vote_with_0.871empty.csv')

import pandas as pd
efile="./8519771/10folds_ne_majvote_vert_corrected.csv"
nefile="./download/oc_net_256/test/final_weighted_vote.csv"

edf=pd.read_csv(efile,index_col='id')
nedf=pd.read_csv(nefile,index_col='id')

for index in nedf.index:
    if type(edf.loc[index]['rle_mask'])==float:
        #print(edf.loc[index]['rle_mask'])
        nedf.loc[index]['rle_mask']=edf.loc[index]['rle_mask']
nedf.to_csv("./download/oc_net_256/test/final_weighted_vote_with_0.871empty.csv")