从.json文件获取列

Question

So I have to do some data analysis on a data-set. The data is handed to me as a .json file. (I am using Pandas to handle the data)

"columns":["id","timestamp","offset_freq","reprate_freq"]
"index":[0,1,2,3,4 ... ]

I want to be able to handle the data as regular vectors like so.

 id = [ ... ]
 timestamp = [ ... ]
 offset_freq = [ ... ]
 reprate_freq = [ ... ]

But if I import my .json file with.

data=pd.read_json("comb_201601.json", orient='split')

And print one of the columns I get:

print(data['offset_freq'])
0         20000000.495
1         19999998.966
2         20000000.910
3         19999998.539
4         20000000.887
5         19999999.694
              ...
680204    20000000.024
Name: offset_freq, dtype: float64

What can I do to just get

print(data['offset_freq'])
20000000.495
19999998.966
20000000.910
19999998.539
20000000.887
19999999.694
     ...
20000000.024

Answer 1

So data['offset_freq'] returns a pandas Series .

If you would like to convert that to a Python list, you can follow this example.

>>> import pandas as pd
>>> s = pd.Series([4, 5, 6])
>>> s
0    4
1    5
2    6
dtype: int64
>>> s.tolist()
[1, 2, 3]

ie You'll want

data['offset_freq'].tolist() for a Python list

or

data['offset_freq'].values for a Numpy array.