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The temporal anomalies data file was sourced by Prof. Maylor. * File:Temporal Records Oct 2023 to April 2024.docx ===Data conditioning from/to file===

 # Python code to read 'Extracted_Temporal_Records.csv', # condition date field to Python compatible, and  # print to scre..."

2024-04-19T00:34:00Z

Created page with "{{menuTemporalAnomalies}} <div style="background-color:azure; border:1px outset azure; padding:0 20px; max-width:860px; margin:0 auto; "> The temporal anomalies data file was sourced by Prof. Maylor. * File:Temporal Records Oct 2023 to April 2024.docx ===Data conditioning from/to file=== <pre style="margin-left:3em; font:normal 14px terminal;"> # Python code to read 'Extracted_Temporal_Records.csv', # condition date field to Python compatible, and # print to scre..."

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{{menuTemporalAnomalies}}

<div style="background-color:azure; border:1px outset azure; padding:0 20px; max-width:860px; margin:0 auto; ">
The temporal anomalies data file was sourced by Prof. Maylor.
* [[File:Temporal Records Oct 2023 to April 2024.docx]]

===Data conditioning from/to file===
<pre style="margin-left:3em; font:normal 14px terminal;">
# Python code to read 'Extracted_Temporal_Records.csv',
# condition date field to Python compatible, and
# print to screen and to file as 'output.csv'.
#
# Code prompted by [[User:XenoEngineer|XenoEngineer]] @claude.ai Haiki 3

import pandas as pd

pd.set_option('display.max_rows', None) # Show all rows
pd.set_option('display.max_columns', None) # Show all columns
pd.set_option('display.width', None) # Don't truncate the output width

df = pd.read_csv('Extracted_Temporal_Records.csv')
df['Date'] = pd.to_datetime(df['Date'], format='mixed', errors='coerce')

# Print the python-ready CSV data to the screen
print(df)

# Print the python-ready CSV data to file
df.to_csv('output.csv', index=False)
</pre>
</div>

Temporal Anomalies Python code - Revision history