我这里有一些错误,但我认为是因为熊猫没有进口,因为它是灰色的。如果是这个问题,我该怎么解决?
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
Process finished with exit code 1
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()
你已经把它作为
打电话来
你要么改变
import pandas as pd
到import pandas
或df = pandas.DataFrame(columns = ['Date','Unix','Ticker','DE Ratio'])
到df = pd.DataFrame(columns = ['Date','Unix','Ticker','DE Ratio'])
。编辑:
错误是由于缺少
)
您将熊猫作为
pd
导入。请始终以这种方式引用它,或者从导入中移除as pd
。(另外,永远不会做
except Exception... pass
。你会吞下所有的错误,永远不知道它们是什么。如果你不打算处理它们,就不要抓住它们。)相关问题 更多 >
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