This repository contains three Python scripts, all of which should be executed in the following order. Use genRandom.py to generate pre-specified number of random intergers in a pre-specified range. The result will be outputted in a text file. A sample output file can be found here here. Use LinMap.py to linearly transform a list of numbers as input with pre-specified slope and intercept. The output will be saved in a text file. An example output file can be found here. Use Vis.py to visualize a list of numbers before and after linear transform in a scatter plot. The scatter plot will be saved as a file. A sample plot can be found here. To learn more, check out this Jupyter Notebook.
An example plot of the generated data is shown below.
1. In your local repository from homework 2, create a blank virtual environment and name it dsci560H4.
The virtual environment is created under the local repository.
2. Activate the environment and install ONLY the dependencies you need to execute the random number generator script of Homework 2.
The random number gererator uses Python standard libraries only, so no external dependency is required. Python3.8 is required to execute the random number generator. Other versions may work without a guarantee.
3. Take a screenshot of your terminal with the activated environment after running the script for the number generator.
The random number generator (genRandom.py) is exucuted under the virtual environment whose name is shown in the parentheses.
Enter "data_x.txt" to open the generated file to check all the generated random numbers.
The only dependency installed manually is "matplotlib". There are dependencies besides "matplotlib" on the extracted list, which are the dependencies that "matplotlib" needs to use. First graph is dependency installation and the second graph is the extracted list.
The uploaded extracted list is named as "requirements.txt".
- Clone this repo using bash:
git clone https://github.com/FeilongWu/DataPublishTest.git- If you want to create a virtual ennvironment under the directory of the cloned repository, you need to go to the directory you just cloned. The directory may vary for differen users. An example is shown below:
cd "C://Users//your//name//DataPublishTest"- If you have venv installed, please skip. Use the following command to install venv. This requires Python3.8:
pip install --user virtualenv- Create a virtual environment (named dsci560H4) and activate it:
python -m venv dsci560H4
.\dsci560H4\Scripts\activate- Install dependency(ies):
pip install -r requirements.txt- If you do not have "requirements.txt" under your working directory, you can run the commands below to install the dependencies and extract a dependency list:
pip install matplotlib
pip freeze > requirements.txt- Assume that you have "genRandom.py", "LinMap.py", and "Vis.py" under your working directory. Generate 1000 random numbers:
python genRandom.py- Linearly transform the random numbers:
python LinMap.py- Visualize random numbers and their linear transform:
python Vis.py- Open notebook in binder:
Click this badgetto open binder in a new page. Jupyter notebook will be automatically launched when the environment is ready. See the progress in the log.
Wu, Feilong (2020) DataPublishTest, GitHub. V.1.5 https://dx.doi.org/10.5281/zenodo.4049671
Wu, Feilong (2020): data_x.txt. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12949601.v2
Wu, Feilong (2020): output. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12949619.v2
Wu, Feilong (2020): Scatter Plot of the random integers and their linear transform. figshare. Figure. https://doi.org/10.6084/m9.figshare.12956543.v2