pycaret

time series stock data having gaps in dataframe to be modeled in Pycaret Question: I have a a csv file which I have imported as follows: ps0pyc=pd.read_csv(r’/Users/swapnilgupta/Desktop/fend/p0.csv’) ps0pyc[‘Date’] = pd.to_datetime(ps0pyc[‘Date’], dayfirst= True) ps0pyc Date PORTVAL 0 2013-01-03 17.133585 1 2013-01-04 17.130434 2 2013-01-07 17.396581 3 2013-01-08 17.308323 4 2013-01-09 17.475933 … … … 2262 2021-12-28 …

ModuleNotFoundError: No module named 'pycaret.time_series' Question: I’ve seen similar questions, but no solutions for this problem. I’m using Google Colab: !pip install pycaret And this: import time import numpy as np import pandas as pd from pycaret.datasets import get_data #from pycaret.time_series import TSForecastingExperiment from pycaret.time_series import * The last line returns the error: ModuleNotFoundError: No …

Cannot import name 'soft_unicode' from 'markupsafe' in google colab Question: I’m trying to install pycaret==3.0.0 in google colab, But I’m having a problem, the library requires Jinja2 to be installed which I did, but then It finally throws off another error. ImportError Traceback (most recent call last) <ipython-input-26-4f8843d24b3a> in <module>() —-> 1 import jinja2 2 …