I loaded a csv file and used the header to specify the names of each column.
# Load the Data
data = np.genfromtxt('dat_h.csv',
delimiter=',',
names=True)
This is great, because I can access the columns by their name. For example...
DATES = data['Dates']
Temperature = data['Temp']
Say I have a vector of pressure observations that matches these measurements. Can I append the data structure with a new field that includes my pressure variable?
I want to do something like this ...
data.append('Pressure',pressure_vector)
# and then be able to access that field like I do the other fields
data['Pressure']
Look into this answer. Here are the docs for recfunctions.
Mainly I think what you need is this:
from numpy.lib.recfunctions import append_fields
append_fields(data, 'Pressure', pressure_vector, np.double)