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Materials for the Python course at University of Shanghai for Science and Technology on May 17th, focusing on data visualization using Python, Seaborn, and Matplotlib.

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conda mac 已经不支持 python3.7

首先未避免文件位置报错,将SpeakingData.csv、Speaking_FixationReport_Raw.xlsx、Listening_FixationReport_Raw.xlsx移动到代码当前文件夹中;或使用文件相对位置、绝对位置

在终端中运行:

  conda create -n py38 python=3.8 之后按 y 同意安装
  conda activate py38
  pip install ipykernel
  pip install pandas numpy matplotlib seaborn scipy statsmodels pingouin jinja2 openpyxl
  python -m ipykernel --name py38 --user
  输入 jupyter notebook 启动
  (如果没有装过 jupyter notebook 在终端中运行 pip install jupyter)
  jupyter notebook 右上角选择python 环境

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Materials for the Python course at University of Shanghai for Science and Technology on May 17th, focusing on data visualization using Python, Seaborn, and Matplotlib.

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