title: pandas read csv with regex
body: <p>I have a folder <code>trip_data</code> contains many csv file with date, which looks like this:</p>
  
  <pre><code>trip_data/
  ├── df_trip_20140803_1.csv
  ├── df_trip_20140803_2.csv
  ├── df_trip_20140803_3.csv
  ├── df_trip_20140803_4.csv
  ├── df_trip_20140803_5.csv
  ├── df_trip_20140803_6.csv
  ├── df_trip_20140804_1.csv
  ├── df_trip_20140804_2.csv
  ├── df_trip_20140804_3.csv
  ├── df_trip_20140804_4.csv
  ├── df_trip_20140804_5.csv
  ├── df_trip_20140804_6.csv
  ├── df_trip_20140805_1.csv
  ├── df_trip_20140805_2.csv
  ├── df_trip_20140805_3.csv
  ├── df_trip_20140805_4.csv
  ├── df_trip_20140805_5.csv
  ├── df_trip_20140805_6.csv
  ├── df_trip_20140806_1.csv
  ├── df_trip_20140806_2.csv
  ├── df_trip_20140806_3.csv
  ├── df_trip_20140806_4.csv
  </code></pre>
  
  <p>Now I want to load all these file separately by date with python pandas, means 4 DataFrame <code>df_traip_20140803, df_traip_20140804, df_traip_20140805, df_traip_20140806</code></p>
  
  <p>My code looks like this:</p>
  
  <pre><code>days = [20140803,20140804,20140805,20140806]
  
  for day in days:
      ## Locate to the path
      path ='./trip_data/df_trip_%d*.csv' % day
      df = pd.read_csv(path, header=None, nrows=10,
                          names=['ID','lat','lon','status','timestamp']) 
  </code></pre>
  
  <p>Which could not get the correct result. How can I do this?</p>