Seaborn point plot using dates as x-axis

Question

I am trying to produce a point plot of dataset grouped based on the date of data collection using Seaborn.

After playing with Seaborn point plot a little while, I realized an issue: these data were collected on different dates but the dates are not evenly spaced. It seems to me that during plotting, Seaborn was considering the dates as categorical variables.

I am wondering if there is a way for me to locate the data with spacing corresponding to the dates interval?

Answer 1

Try the following to convert your string dates into datetime objects

import time
import datetime as dt
from datetime import datetime

def dateconvert(Start_date):
    try:
        Start_date = int(Start_date)  
        Date_String = str(Start_date)
        dateconv = dt.datetime.strptime(Date_String,'%YYYY-%mm-%dd').strftime('%d/%m/%Y')
        return  dateconv
    except ValueError:
        return Start_date #or '' or whatever you want to return for NULL

Answer 2

It seems to me that Seaborn doesn't support datetime as the x variables, and all the dates are considered as categorical variables in this case. It might not be a big issue here but it prevents me from fitting a regression line to the dots.

I ended up using the matplotlib.errorbar function, with the median value and std calculated using numpy . It doesn't seem to be an ideal solution but it worked. (Still working on the regression trendline but I'm fine now.)

updated plot