从python3中的numpy数组中提取数据

Question

I imported my csv file into a python using numpy.txt and the results look like this:

>>> print(FH)
array([['Probe_Name', '', 'A2M', ..., 'POS_D', 'POS_E', 'POS_F'],
       ['Accession', '', 'NM_000014.4', ..., 'ERCC_00092.1',
        'ERCC_00035.1', 'ERCC_00034.1'],
       ['Class_Name', '', 'Endogenous', ..., 'Positive', 'Positive',
        'Positive'],
       ...,
       ['CF33294_10', '', '6351', ..., '1187', '226', '84'],
       ['CF33299_11', '', '5239', ..., '932', '138', '64'],
       ['CF33300_12', '', '37372', ..., '981', '202', '58']], dtype=object)

every single list is a column and the first item of every column is the header. I want to plot the data in different ways. to do so, I want to make variable for every single column. for example the first column I want to print(Probe_Name) as the header and the results will be shown like this:

A2M
.
.
.
POS_D
POS_E
POS_F

and this is the case for the rest of columns. and then I will plot the variables. I tried to do that in python3 like this:

def items(N_array:) 
    for item in N_array:
        name = item[0]
        content = item[1:]
    return name, content

print(items(FH)) it does not return what I expect. do you know how to fix it?

Answer 1

One simple way to do this is with pandas dataframes. When you read the csv file using a pandas dataframe, you essentially get a collection of 'columns' (called series in pandas).

import pandas as pd
df = pd.read_csv("your filename.csv")
df 

  Probe_Name  Accession
0        A2m    MD_9999
1      POS_D  NM_0014.4
2      POS_E      99999

Now we can deal with each column, which is named automatically by the header column.

print(df['Probe_Name'])
0      A2m
1    POS_D
2    POS_E

Furthermore, you can you do plotting (assuming you have numeric data in here somewhere).

http://pandas.pydata.org/pandas-docs/stable/index.html