[FIXED] How to select a range of numpy array in a pandas dataframe

Issue

I have a pandas dataframe as below:

Train ID	adc_data1
101	[1610,1613,1616,...]
102	[1601,1605,1610,...]
...	...

in the "adc_data1" column, in each cell there is a numpy array. I would like to select a range of data from each cell in this column and put it in a new column and creat a dataframe as below. How does one do this?

Train ID	adc_data1	selected data
101	[1610,1613,1616,...]	[1610,1613,1616]
102	[1601,1605,1610,...]	[1601,1605,1610]
...	...	...

Using the line below one can select a range of data for a single cell:

    selected_range = df["adc_data1"].iloc[1][0:2]

but is there a way to do the same for all rows at the same time without using a for loop?

Solution

You can do:

df["adc_data1"].str[0:100]

For example

df = pd.DataFrame([[list(range(1000))]]*3, columns=['adc_data1'])
print(df["adc_data1"].str[:10])

Output:

0    [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
1    [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
2    [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
Name: adc_data1, dtype: object

Answered By - T C Molenaar