Okay so I have a csv with minute data for the S&P 500 index for 2020, and I am looking how to index out only the close and open for 9:30 and 4:00 only. In essence I just want what the market open and close was. So far the code is:

```
import pandas as pd
import datetime as dt
import numpy as np

d = pd.read_csv('/Volumes/Seagate Portable/usindex_2020_all_tickers_awvbxk9/SPX_2020_2020.txt')
d.columns = ['Dates', 'Open', 'High', 'Low', 'Close']
d.drop(['High', 'Low'], axis=1, inplace=True)
d.set_index('Dates', inplace=True)

d.head() 

```

It wont let me share the csv file but this is what the output looks like:

```
                    Open    Close
Dates       
2020-01-02 09:31:00 3247.19 3245.22
2020-01-02 09:32:00 3245.07 3244.66
2020-01-02 09:33:00 3244.89 3247.61
2020-01-02 09:34:00 3247.38 3246.92
2020-01-02 09:35:00 3246.89 3249.09

```

I have tried using loc and dt.time, which I am assmuning is the right way to code I just cannot think of the exact code to index out these 2 times. Any ideas? Thank you!