[英]Is Pandas not importing? 'NameError: global name 'pandas' is not defined'
I'm getting a few errors here but I think it's due to pandas not importing as it's greyed out. 我在这里遇到一些错误,但我认为这是因为大熊猫没有导入,因为它是灰色的。 If that is the problem, how would I fix this? 如果这是问题,我该如何解决这个问题?
C:\\Anaconda\\python.exe C:/Users/nickd/Documents/SKLEARN-STOCKS/stock-mach.py Traceback (most recent call last): File "C:/Users/nickd/Documents/SKLEARN-STOCKS/stock-mach.py", line 38, in Key_Stats() File "C:/Users/nickd/Documents/SKLEARN-STOCKS/stock-mach.py", line 12, in Key_Stats df = pandas.DataFrame(columns = ['Date','Unix','Ticker','DE Ratio']) NameError: global name 'pandas' is not defined C:\\ Anaconda \\ python.exe C:/Users/nickd/Documents/SKLEARN-STOCKS/stock-mach.py Traceback(最近一次调用最后一次):文件“C:/ Users / nickd / Documents / SKLEARN-STOCKS / stock -mach.py“,第38行,在Key_Stats()文件”C:/Users/nickd/Documents/SKLEARN-STOCKS/stock-mach.py“,第12行,在Key_Stats中df = pandas.DataFrame(columns = [' Date','Unix','Ticker','DE Ratio'])NameError:全局名称'pandas'未定义
Process finished with exit code 1 进程以退出代码1结束
import pandas as pd
import os
import time
from datetime import datetime
#location of the data files
path = 'C:\Users\nickd\Documents\SKLEARN-STOCKS'
#what specific field do you want to grab and in all files in that directory
def Key_Stats(gather="Total Debt/Equity (mrq) "):
statspath = path+'/_KeyStats'
stock_list = [x[0] for x in os.walk(statspath)]
df = pandas.DataFrame(columns = ['Date','Unix','Ticker','DE Ratio'])
for each_dir in stock_list[1:5]:
each_file = os.listdir(each_dir)
ticker = each_dir.split("//")[1]
if len(each_file) >0:
for file in each_file:
date_stamp = datetime.strptime(file, '%Y%m%d%H%M%S.html')
#unix_time = time.mktime(date_stamp.timetuple())
print(date_stamp,unix_time)
full_file_path = each_file+'/'+file
#print(full_file_path)
source = open(full_file_path, 'r').read()
#print(source)
try:
value = float(source.split(gather+':</td><td class="yfnc_tabledata1">')[1].split('</td>')[0])
df = df.append({'Date':date_stamp,'Unix':unix_time,'Ticker':ticker,'DE Ratio':value,}, ignore_index = True)
except Exception as e:
pass
#print(ticker+":",value)
save = gather.replace(' ','').replace(')','').replace('(','').replace('/',''+('.csv')
print(save)
df.to_csv(save)
#time.sleep(15)
Key_Stats()
You have imported it as 您已将其导入为
import pandas as pd
and calling 并打电话
#pandas
df = pandas.DataFrame(columns = ['Date','Unix','Ticker','DE Ratio'])
You could either change 你可以改变
import pandas as pd
to import pandas
or import pandas as pd
以import pandas
或 df = pandas.DataFrame(columns = ['Date','Unix','Ticker','DE Ratio'])
to df = pd.DataFrame(columns = ['Date','Unix','Ticker','DE Ratio'])
. df = pandas.DataFrame(columns = ['Date','Unix','Ticker','DE Ratio'])
到df = pd.DataFrame(columns = ['Date','Unix','Ticker','DE Ratio'])
。 edit: 编辑:
error is due to missing )
错误是由于丢失)
save = gather.replace(' ','').replace(')','').replace('(','').replace('/',''+('.csv'))
You imported pandas as pd
. 您将pandas导入为pd
。 Either refer to it as such throughout, or remove the as pd
from the import. 要么全程引用它,要么从导入中删除as pd
。
(Plus, never ever ever do except Exception... pass
. You'll swallow all sorts of errors and never know what they were. If you aren't going to handle them, don't catch them at all.) (另外, 从来没有做过 except Exception... pass
。你会吞下各种错误,永远不会知道它们是什么。如果你不打算处理它们,就根本不要抓住它们。)
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