How to convert Strings to DateTimes in Python?

How to convert Strings to DateTimes in Python?

How to convert Strings to DateTimes in Python?

This recipe helps you convert Strings to DateTimes in Python

In [1]:
## How to convert Strings to DateTimes in Python 
def Kickstarter_Example_49():
    print(format('How to convert Strings to DateTimes in Python',
    import warnings

    # Load libraries
    import numpy as np
    import pandas as pd

    # Create strings
    date_strings = np.array(['01-01-2015 11:35 PM',
                             '23-02-2016 12:01 AM',
                             '26-12-2017 09:09 PM'])

    # Convert to datetimes
                    format="%d-%m-%Y %I:%M %p",
                    errors="coerce") for date in date_strings])
******************How to convert Strings to DateTimes in Python*******************

['01-01-2015 11:35 PM' '23-02-2016 12:01 AM' '26-12-2017 09:09 PM']

[Timestamp('2015-01-01 23:35:00'), Timestamp('2016-02-23 00:01:00'), Timestamp('2017-12-26 21:09:00')]

Relevant Projects

Identifying Product Bundles from Sales Data Using R Language
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.

Sequence Classification with LSTM RNN in Python with Keras
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset​ using Keras in Python.

Perform Time series modelling using Facebook Prophet
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Learn to prepare data for your next machine learning project
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

Predict Census Income using Deep Learning Models
In this project, we are going to work on Deep Learning using H2O to predict Census income.

Human Activity Recognition Using Smartphones Data Set
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.

Anomaly Detection Using Deep Learning and Autoencoders
Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.