diff --git a/climate_indices/download.py b/climate_indices/download.py
deleted file mode 100644
index a392645..0000000
--- a/climate_indices/download.py
+++ /dev/null
@@ -1,78 +0,0 @@
-import datetime
-from subprocess import call
-import os
-import sys
-import requests
-import numpy as np
-import pandas as pd
-
-def file_len(fname):
-    with open(fname) as f:
-        for i, l in enumerate(f):
-            pass
-    return i + 1
-
-def exists(URL):
-    r = requests.head(URL)
-    return r.status_code == requests.codes.ok
-
-def create_url(index, source):
-    """
-    Return the valid URL for download
-
-    :param variable: string
-    :param level: string
-    :param date: datetime
-    :return: sring
-    """
-    if source == 'NOAA':
-        base_url = 'https://www.esrl.noaa.gov/psd/data/correlation/{index}.data'
-
-    else:
-        raise ValueError("Source not supported")
-
-    base_url = base_url.format(index=index)
-
-    return base_url
-
-def get_data(index, source = 'NOAA'):
-    URL = create_url(index, source)
-
-    if not exists(URL):
-        print(URL)
-        raise ValueError("This URL does not exist")
-
-
-    call(["curl","-s", "-o", 'temp.txt', URL], stdout=open(os.devnull, 'wb'))
-    flen = file_len('temp.txt')
-    df = pd.read_csv('temp.txt',sep='\s+', skiprows=[0,flen-1])
-    call(['rm', 'temp.txt'])
-    df = format_data(df)
-    return df
-
-
-def format_data(df):
-    colnames=['year']
-    [colnames.append(i) for i in range(1,13)]
-    df.columns=colnames
-    df = df.set_index('year')
-    df = df.unstack()
-    df = df.reset_index()
-    df.columns = ['month','year','value']
-    df = df.sort_values(['year','month'])
-    df = df.replace('-99.99', np.NaN)
-    df = df.dropna()
-
-    print(df)
-    print('{year}-{month}-31'.format(year=df['year'].iloc[-1], month=df['month'].iloc[-1]))
-    indexes = pd.date_range(start='{year}-{month}-01'.format(year=df['year'].iloc[0], month=df['month'].iloc[0]),
-                            end='{year}-{month}-31'.format(year=df['year'].iloc[-1], month=df['month'].iloc[-1]),freq='M')
-    print(indexes)
-    df['time']=indexes
-    df = df.set_index(time)
-    df=df.dropna()
-    return df
-
-if __name__=='__main__':
-    df = get_data('nina34')
-    print(df)