Converting dates into a specific format in side a CSV

Question

I am new to python and Iam trying to manipulate some data but it keeps showing me this erro message

 UserWarning: Parsing '13/01/2021' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.
  cache_array = _maybe_cache(arg, format, cache, convert_listlike)

This is my code

import pandas as pd
import matplotlib.pyplot as plt

dataLake = pd.read_csv("datalake - Data lake.csv", parse_dates=["Day"])
dataLake = dataLake.rename(columns={"Day":"day"})
dataLake = dataLake.rename(columns={"Agent":"agent"})

dataLake["day"] = pd.to_datetime(dataLake.day)
print(dataLake.head())

Asked By: Isaac Portes

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Source

Answer 1

In your case you need to set the dayfirst param to true, like this:

pd.to_datetime(dataLake.day, dayfirst=True)

or you can set a format (but you don’t need to in your case), like this:

pd.to_datetime(dataLake.day, format="%d/%m/%y")

Answered By: Bora Varol

Answer 2

Whenever we try to pass date without specifying the format, python tries to throw this warning.
You can follow 2 approaches.

Either pass a format for your date like this:

df = pd.DataFrame({'year': [2015, 2016], 'month': [2, 3],'day': [4, 5]})
pd.to_datetime(df)

Or just set infer_datetime_format=True, this is faster. Pandas will try to parse the columns into date format.

dt = pd.to_datetime("29/03/2023", infer_datetime_format=True)

Answered By: Shreya Sharma

Converting dates into a specific format in side a CSV

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