I want to combine a numpy array and a column which i a string as an identifier for export to a csv file which i can then import into excel.
For example:
<
import numpy as np
a = np.random.rand(6,4)
b = ['test']*6
c = np.column_stack([a,b])
np.savetxt('/tmp/out', c, delimiter=',', fmt='%s')
writes something like
0.70503807191,0.19298150889,0.962915679186,0.655430709887,test
0.586655200042,0.379720344068,0.136924270418,0.547277504174,test
0.777238053817,0.642467338742,0.709351872598,0.932239808362,test
0.386983024375,0.753005132745,0.124107902275,0.472997270033,test
0.169711196953,0.735713880779,0.280588048467,0.726851876957,test
0.20578446385,0.379406838045,0.640154333103,0.579077700263,test
to /tmp/out
.
Following up on Paul's suggestion, if you have pandas, you could form a DataFrame quite easily and then call its to_csv method:
import numpy as np
import pandas as pd
a = np.random.rand(6,4)
b = np.asarray(['test']*6)
df = pd.DataFrame(a)
df['b'] = b
df.to_csv('/tmp/out')