date_series = pd.date_range("start_date", "end_date")
df = pd.read_csv("filename.csv", parse_dates=["column1"], index_col=["column2"])
I hereby claim:
To claim this, I am signing this object:
| #!/usr/bin/env python | |
| import os | |
| import sys | |
| import time | |
| import subprocess | |
| import urllib2 | |
| import boto |
| weights = [215, 275, 335, 355, 420, 580] | |
| limit = 1505 | |
| ds = { | |
| i * w: [w] * i | |
| for w in weights | |
| for i in range(1, 1 + (limit // w)) | |
| } | |
| for w in weights: |
| """ | |
| Python script to backup data in src to dst using sha1 hashes of the files | |
| in a backing directory. | |
| Hugh Brown | |
| [email protected] | |
| """ | |
| from hashlib import sha1 | |
| import os |