Data Analytics With Python

NumPy's np.where function is a versatile tool that can be used for conditional execution. It's especially handy when working with large datasets in pandas DataFrame or Series objects. In this post, we'll unravel the use of np.where in a real-life data manipulation task involving a movie dataset. Here's a code snippet we'll be discussing (Google Colab Interactive Example ): ************************Code Snippet*******************************; import pandas as pd import numpy as np loc = 'https://raw.githubusercontent.com/aew5044/Python---Public/main/movie.csv' m = pd.read_csv(loc) m1 = (     m     .assign(color = lambda x: x.color.fillna('Missing')) #Fill in missing values with "Missing"     .assign(bw = lambda x: np.where(x.color != 'Color', 1, 0)) #Create a new column called "bw"     .assign(bw_after_1939 = lambda x: np.where((x.title_year > 1939) & (x.color.str.startswith('B') | x.color.str.startswith('

 I have found success in updating to pandas 2.x by first installing pandas with conda then updating the version with pip.  Here are my steps: Create the environment conda create --name movies Activate the environment conda activate movies Install Pandas and Numpy conda install pandas numpy pip Upgrade pandas to a specific version pip install --upgrade pandas==2.0.1 Those are the steps to get get a new environment, download the basic packages, and then install pandas 2.0.1. 

  Here's a brief blog post on how to create a new Conda environment called "movies", activate it, and then install the Pandas and NumPy libraries. Conda is a popular, open-source package management system that simplifies setting up environments and installing libraries for Python. Today, we're going to walk through how to create a new Conda environment, activate it, and install some essential data analysis libraries - Pandas and NumPy. Step 1: Install MiniConda  First things first, ensure you have MiniConda installed on your machine. If not, you can download it from the [official MiniConda page](https://docs.conda.io/en/latest/miniconda.html). Follow the instructions specific to your operating system to get it set up. Step 2: Create a New Conda Environment Once you have MiniConda installed, open up your terminal or command prompt. To create a new environment, we use the `conda create` command followed by `--name` and then the name of the environment. For this example,