Pinned Loading

1. pandasgui_setup.txt pandasgui_setup.txt

   1

   # pandasgui

   2

   # !pip install pandasgui

   3

   # assume data is loaded in dataframe df

   4

   from pandasgui import show

   5

   gui = show(df)

2. Parsing an ISO 8601 string into date... Parsing an ISO 8601 string into date and time elements

   1

   from dateutil.parser import isoparse

   2

   date_obj = isoparse('2018-05-26T15:00:00Z')

   3

   date_obj_time = date_obj.time()

   4

   date_obj_date = date_obj.date()

   5

   date_obj_day = date_obj.day

3. Data Prep: Shipping prices in USD an... Data Prep: Shipping prices in USD and CAD

   1

   # import re

   2

   # https://regex101.com/

   3

   # Sample Data:

   4

   # USD 6.60

   5

   # CAD 3.23

4. saa_split_iso8601_str_python.txt saa_split_iso8601_str_python.txt

   1

   def process_date_seen(r):

   2

     '''

   3

     r will be a row in a Pandas Series containing a comma-separated list

   4

     of strings representing datetime in ISO 8601 format.

   5

     Here we are extracting a few features of interest such as

5. chats-with-austin chats-with-austin Public

   Conversations with Austin the Apex Duck

   Jupyter Notebook