Series replace values using timestamps in a dict · Issue #5797 · pandas-dev/pandas (original) (raw)

Skip to content

Navigation Menu

• • GitHub Copilot Write better code with AI
  • GitHub Advanced Security Find and fix vulnerabilities
  • Actions Automate any workflow
  • Codespaces Instant dev environments
  • Issues Plan and track work
  • Code Review Manage code changes
  • Discussions Collaborate outside of code
  • Code Search Find more, search less
• Explore
  • Learning Pathways
  • Events & Webinars
  • Ebooks & Whitepapers
  • Customer Stories
  • Partners
  • Executive Insights
• • GitHub Sponsors Fund open source developers
  • The ReadME Project GitHub community articles
• • Enterprise platform AI-powered developer platform
• Pricing

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Sign up

Description

I was working with financial data and was replacing dates that were not valid trading days. It seems that replace does not work on any dict between two timestamps. Here is an example. This simply throws an exception on 0.12.

import pandas.io.data as web
ibm = web.DataReader("IBM", "yahoo", "1993/01/01").reset_index()
next_date_dict = dict(zip(ibm["Date"], ibm["Date"].shift()))
ibm_next_date = ibm["Date"].replace(next_date_dict)
print (ibm_next_date == ibm["Date"]).all()

in 0.12 there is an exception:
https://gist.github.com/MichaelWS/8186689