numpy genfromtxt mixed numbers and strings encoding

genfromtxt_encoding.py

# For a .csv file where there are mixed data types (column of floats, column of strings i.e. Dates) 
# then if you set the encoding='UTF-8', the dates or column of strings will return as a string
# rather than a "bytes" type.

FILENAME = 'some_csv_file.csv'
data = np.genfromtxt(FILENAME, delimiter=',', names=True, dtype=None, encoding='UTF-8')

# Since names is set to True, the returned data can be accessed by header column name.
# If a column is labeled 'DATES', you can access the dates like you do a dictionary...
get_dates = data['DATES']

# The thing is, the data variable type is a "numpy.void".

# You can get a list of names like this...
names = data.dtype.names

# Print all data from each name:
for i in data.dtype.names:
  print(i, data[i])