擅长:python、mysql、java
<p>它起作用了。在</p>
<pre><code>import os
df_temp = pd.DataFrame({'Close': [235.5, 238.25, 237.0, 236.0],
'Date': [19780106, 19780113, 19780120, 19780127],
'High': [237.5, 239.0, 239.0, 238.5],
'Low': [234.5, 235.0, 234.5, 235.5],
'OI': [0, 0, 0, 0],
'Open': [236.0, 235.5, 238.0, 237.0],
'Roll': [0, 0, 0, 0],
'Vol': [0, 0, 0, 0]})
df = pd.DataFrame()
# To simulate several df
x=0
for file_ in ['the_path/C2__1979N.csv', 'other_path/C2__1979H.csv']:
filename, file_extension = os.path.splitext(file_)
df_temp['name'] = os.path.basename(filename)
df = df.append(df_temp.loc[x:x+1,:])
x+=1
df.set_index('name', inplace=True)
df.index.name = None
print(df)
# Result
Close Date High Low OI Open Roll Vol
C2__1979N 235.50 19780106 237.5 234.5 0 236.0 0 0
C2__1979N 238.25 19780113 239.0 235.0 0 235.5 0 0
C2__1979H 237.00 19780120 239.0 234.5 0 238.0 0 0
C2__1979H 236.00 19780127 238.5 235.5 0 237.0 0 0
</code></pre>
<p>在原始代码中:</p>
^{pr2}$