Shane Edmonds shane-edmonds
shane-edmonds
/ pandas_dataframe_date_splitting.py
Created
April 23, 2020 19:40
Pandas DataFrame Date Splitting
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| #pandas datetimeindex docs: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DatetimeIndex.html | |
| #efficient way to extract year from string format date | |
| df['year'] = pd.DatetimeIndex(df['birth_date']).year | |
| df.head() | |
| #pandas datetimeindex docs: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DatetimeIndex.html | |
| df['month'] = pd.DatetimeIndex(df['birth_date']).month | |
| df.head() | |
| #if the date format comes in datetime, we can also extract the day/month/year using the to_period function |
shane-edmonds
/ gist:7966728
Created
December 15, 2013 00:00
You can use the File.ReadLines Method to read the file line-by-line without loading the whole file into memory at once, and the Parallel.ForEach Method to process the lines in multiple threads in parallel.
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| Parallel.ForEach(File.ReadLines("file.txt"), (line, _, lineNumber) => | |
| { | |
| // processing code here | |
| }); |
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| /* | |
| <div class="loading"> | |
| <div class="outer"></div> | |
| <div class="inner"></div> | |
| </div> | |
| */ | |
| /* Loading indicator */ | |
| .loading { | |
| position: relative; |
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| /* | |
| <div class="spinner"></div> | |
| */ | |
| .spinner { | |
| height:60px; | |
| width:60px; | |
| margin:0 auto; | |
| position:relative; | |
| -webkit-animation: rotation .6s infinite linear; |
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| function new-template { | |
| <# | |
| .SYNOPSIS | |
| Brief description of what the function does | |
| .DESCRIPTION | |
| A better description | |
| .NOTES | |
| Function Name : new-template | |
| Author : Adam Stone | |
| Requires : PowerShell V2 |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <style> | |
| .circle-timer, .pie-timer { | |
| width: 220px; | |
| height: 220px; | |
| position: relative; | |
| box-shadow: #ccc 0 0 25px; |
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| <?xml version="1.0" encoding="UTF-8" ?> | |
| <Response> | |
| <Say>Hello World</Say> | |
| </Response> |