Issue
What happens is that I have this set of data and in the column named Fecha de diagnóstico
there are many terms like 00:00:00
that I want to eliminate, do you know any method with which I can eliminate all those terms?
Don't worry, don't pay attention to the rest, it's in Spanish.
I tried this
ruta.drop(ruta.loc[ruta['Fecha de diagnóstico']=='00:00:00'].index, inplace=True)
but it doesn't seem to work
this is i have
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
ruta = pd.read_csv('/content/drive/MyDrive/datos punto 6/Casos_positivos_de_Covid-19_en_el_departamento_de_Antioquia.csv')
cambio = ruta.drop(['fecha reporte web','Fecha de notificación','Código DIVIPOLA departamento','Nombre departamento','Código DIVIPOLA municipio','Unidad de medida de edad','Código ISO del país','Nombre del país','Recuperado','Fecha de inicio de síntomas','Fecha de muerte','Fecha de recuperación','Tipo de recuperación','Pertenencia étnica','Nombre del grupo étnico','Ubicación del caso','Estado','Tipo de contagio'], axis=1)
Solution
If you really have datetime type, keep only the date while keeping the type using:
df['col'] = df['col'].dt.date
Answered By - mozway
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