#-*- coding:utf-8 -*-
import pandas as pd
from pandas import DataFrame
old_data=pd.read_csv('D:\pydata\mypydata\lottery\wave_value_result.csv',encoding='utf-8')
unuseful_data=pd.read_csv('D:\pydata\mypydata\lottery\wave_value_result.csv',encoding='utf-8')
old_data_dataframe=DataFrame(old_data)
unuseful_data_dataframe=DataFrame(unuseful_data)
list1=list(old_data_dataframe.columns)
list2=list(unuseful_data_dataframe.columns)
list3=[item for item in list1 if item not in list2]
new_data_dataframe=DataFrame(old_data_dataframe[list3])
new_data_dataframe.to_csv('D:\pydata\mypydata\lottery\wave_value_result_nozero.csv',encoding='utf-8')

e0e4e125f9ab7e9544cb74a4b0c096f44f88cc71
<mask token>

<mask token>
new_data_dataframe.to_csv(
    'D:\\pydata\\mypydata\\lottery\\wave_value_result_nozero.csv', encoding
    ='utf-8')

<mask token>
old_data = pd.read_csv('D:\\pydata\\mypydata\\lottery\\wave_value_result.csv',
    encoding='utf-8')
unuseful_data = pd.read_csv(
    'D:\\pydata\\mypydata\\lottery\\wave_value_result.csv', encoding='utf-8')
old_data_dataframe = DataFrame(old_data)
unuseful_data_dataframe = DataFrame(unuseful_data)
list1 = list(old_data_dataframe.columns)
list2 = list(unuseful_data_dataframe.columns)
list3 = [item for item in list1 if item not in list2]
new_data_dataframe = DataFrame(old_data_dataframe[list3])
new_data_dataframe.to_csv(
    'D:\\pydata\\mypydata\\lottery\\wave_value_result_nozero.csv', encoding
    ='utf-8')

import pandas as pd
from pandas import DataFrame
old_data = pd.read_csv('D:\\pydata\\mypydata\\lottery\\wave_value_result.csv',
    encoding='utf-8')
unuseful_data = pd.read_csv(
    'D:\\pydata\\mypydata\\lottery\\wave_value_result.csv', encoding='utf-8')
old_data_dataframe = DataFrame(old_data)
unuseful_data_dataframe = DataFrame(unuseful_data)
list1 = list(old_data_dataframe.columns)
list2 = list(unuseful_data_dataframe.columns)
list3 = [item for item in list1 if item not in list2]
new_data_dataframe = DataFrame(old_data_dataframe[list3])
new_data_dataframe.to_csv(
    'D:\\pydata\\mypydata\\lottery\\wave_value_result_nozero.csv', encoding
    ='utf-8')

#-*- coding:utf-8 -*-
import pandas as pd
from pandas import DataFrame
old_data=pd.read_csv('D:\pydata\mypydata\lottery\wave_value_result.csv',encoding='utf-8')
unuseful_data=pd.read_csv('D:\pydata\mypydata\lottery\wave_value_result.csv',encoding='utf-8')
old_data_dataframe=DataFrame(old_data)
unuseful_data_dataframe=DataFrame(unuseful_data)
list1=list(old_data_dataframe.columns)
list2=list(unuseful_data_dataframe.columns)
list3=[item for item in list1 if item not in list2]
new_data_dataframe=DataFrame(old_data_dataframe[list3])
new_data_dataframe.to_csv('D:\pydata\mypydata\lottery\wave_value_result_nozero.csv',encoding='utf-8')
