$\color{green}{test}$ This is code I wrote for the video

Python

Find record from df

df.loc[df['Current Owner Address'].str.contains(r'ROCKY MT',regex=True,na=False)]

• regex code for replace dictionary (.*?):(.*) replace as "$1":"$2",

• pandas filter

no_info_records = df.query("GIS_PIN != '000000' & TAX_PIN.isnull() & GIS_PARID.notnull()", engine='python')

no_info_records

https://curl.iculture.cc

Create a virtual environment

This can be done with

python -m venv env

activate the virtual environment with

env/bin/activate

or

env\Scripts\activate

Save as requirements.txt

pip freeze > requirements.txt

Install dependencies

pip install -r requirements.txt

Anaconda

Create env, $\color{red}{python=3.8 is optional}$

conda create --myenv python=3.8

List env

conda env list

Activate env

activate myenv

Run jupyter notebook

jupyter-notebook

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show more columns in pandas

pd.options.display.width= None
pd.options.display.max_columns= None
pd.set_option('display.max_rows', 3000)
pd.set_option('display.max_columns', 3000)

If you use Anaconda for environment management you most likely created requirements.txt file via:

conda list --explicit > requirements.txt

To recreate the environment with all your listed packages use:

conda env create --file requirements.txt