How to get read excel data into an array with python

Question

In the lab that I work in, we process a lot of data produced by a 96 well plate reader. I\'m trying to write a script that will perform a few calculations and output a bar g

Answer 1

This task is super easy in Pandas these days.

import pandas as pd

df = pd.read_excel('file_name_here.xlsx', sheet_name='Sheet1')

or

df = pd.read_csv('file_name_here.csv')

This returns a pandas.DataFrame object which is very powerful for performing operations by column, row, over an entire df, or over individual items with iterrows. Not to mention slicing in different ways.

Answer 2

There is awesome xlrd package with quick start example here. You can just google it to find code snippets. I have never used panda's read_excel function, but xlrd covers all my needs, and can offer even more, I believe.

Answer 3

I'm not exactly sure what you mean when you say array, but if you mean into a matrix, might you be looking for:

import pandas as pd
df = pd.read_excel([path here])
df.as_matrix()

This returns a numpy.ndarray type.

Answer 4

You could also try it with my wrapper library, which uses xlrd as well:

import pyexcel as pe     # pip install pyexcel
import pyexcel.ext.xls   # pip install pyexcel-xls
your_matrix = pe.get_array(file_name=path_here) # done