AttributeError: 'list' object has no attribute 'read_pickle'
AttributeError: 'list' object has no attribute 'read_pickle'
这是我使用 pandas 中的 read_pcikle 函数的代码。它可以用于单个文档。
import pandas as pd
tt = './data_v6/level3/6954/tweets_text_Kea.txt'
pd = pd.read_pickle(tt)
print(type(pd))
f = open("./data_v6/level3/6954/tweets_KeaWC.txt",'a',encoding='utf-8')
for i in pd:
#print(i)
#print(type(i))
for j in i:
res = isinstance(j, str)
if res == True:
print(j)
f.write(j+'\n')
然后我尝试在我的数据中的所有文件中使用这个函数。
但是我得到一个错误:AttributeError: 'list' object has no attribute 'read_pickle'.
这里是所有文件的代码:
import pandas as pd
import os
count = 1
for root, dirs, files in os.walk("./data_v6/level3/"):
for dir in dirs:
print(count)
#print(dir)
count += 1
tt = './data_v6/level3/'+dir+'/tweets_text_Kea.txt'
print(tt)
pd = pd.read_pickle(tt)
print(type(pd))
f = open("./data_v6/level3/"+dir+"/tweets_KeaWC.txt",'a',encoding='utf-8')
for i in pd:
#print(i)
#print(type(i))
for j in i:
res = isinstance(j, str)
if res == True:
#print(j)
f.write(j+'\n')
好吧,看看你在用 pandas:
import pandas as pd # pd -> pandas
...
pd = pd.read_pickle(tt) # pd -> list
您不能将您的 read_pickle 分配给 pd;否则你不能再用 pd 调用 pandas 方法了!使用您的代码,在重新分配 pd 之前调用 pd 一次,因此下次调用 pd 时它不再起作用!
改用此代码:
import pandas as pd
import os
for root, dirs, files in os.walk("./data_v6/level3/"):
for dir in dirs:
tt = './data_v6/level3/'+dir+'/tweets_text_Kea.txt'
pickle_output = pd.read_pickle(tt)
f = open("./data_v6/level3/"+dir+"/tweets_KeaWC.txt",'a',encoding='utf-8')
for i in pickle_output:
for j in i:
res = isinstance(j, str)
if res == True:
f.write(j+'\n')
f.close()
这是我使用 pandas 中的 read_pcikle 函数的代码。它可以用于单个文档。
import pandas as pd
tt = './data_v6/level3/6954/tweets_text_Kea.txt'
pd = pd.read_pickle(tt)
print(type(pd))
f = open("./data_v6/level3/6954/tweets_KeaWC.txt",'a',encoding='utf-8')
for i in pd:
#print(i)
#print(type(i))
for j in i:
res = isinstance(j, str)
if res == True:
print(j)
f.write(j+'\n')
然后我尝试在我的数据中的所有文件中使用这个函数。 但是我得到一个错误:AttributeError: 'list' object has no attribute 'read_pickle'.
这里是所有文件的代码:
import pandas as pd
import os
count = 1
for root, dirs, files in os.walk("./data_v6/level3/"):
for dir in dirs:
print(count)
#print(dir)
count += 1
tt = './data_v6/level3/'+dir+'/tweets_text_Kea.txt'
print(tt)
pd = pd.read_pickle(tt)
print(type(pd))
f = open("./data_v6/level3/"+dir+"/tweets_KeaWC.txt",'a',encoding='utf-8')
for i in pd:
#print(i)
#print(type(i))
for j in i:
res = isinstance(j, str)
if res == True:
#print(j)
f.write(j+'\n')
好吧,看看你在用 pandas:
import pandas as pd # pd -> pandas
...
pd = pd.read_pickle(tt) # pd -> list
您不能将您的 read_pickle 分配给 pd;否则你不能再用 pd 调用 pandas 方法了!使用您的代码,在重新分配 pd 之前调用 pd 一次,因此下次调用 pd 时它不再起作用!
改用此代码:
import pandas as pd
import os
for root, dirs, files in os.walk("./data_v6/level3/"):
for dir in dirs:
tt = './data_v6/level3/'+dir+'/tweets_text_Kea.txt'
pickle_output = pd.read_pickle(tt)
f = open("./data_v6/level3/"+dir+"/tweets_KeaWC.txt",'a',encoding='utf-8')
for i in pickle_output:
for j in i:
res = isinstance(j, str)
if res == True:
f.write(j+'\n')
f.close()