loc[df["age"] > 30]) # Matplotlib import matplotlib.pyplot as plt # Creating a plot x = np.array([1, 2, 3, 4, 5]) y = np.array([2, 4, 6, 8, 10]) plt.plot(x, y) # Displaying the plot plt.show() Conclusion This is just a basic Python cheatsheet with code snippets ...
R Cheatsheet Cheatsheet | R Cheat Sheet Nov 14, 2021 SQL Cheat Sheet Learning | SQL using Squid game Jan 11, 2022 all_in_one Python Cheat Sheet - Pandas | Numpy | Sklearn | Matplotlib | Seaborn|… Sep 14, 2021 big_data upports the programming language of Python and also handles struc...
正则表达式 re 的检查:a Python regular expression edition, 附带有一个cheatsheet; 某个对象(列)截取部分字符,并应用匿名函数:df['income'].apply(),比如hours = df['start_date'].apply(lambda s: int(s[-8:-6])); 提取姓名列的最后一个字母:last_letters = df.name.map(lambda x: x[-1]); ...
5. Data:JSON,Pickle,CSV,SQLite,Bytes,Struct,Array,MemoryView,Deque. 6. Advanced:Threading,Operator,Introspection,...
python cheatsheet.zip评分: pdf格式的python cheat sheet,详细介绍了python及其程序包的常用操作,包含Numpy, Pandas, Matplotlib, Keras, Scipy, Seaborn, Scikit-Learn, Jupyter Notebook, Bokeh等 python2019-06-27 上传大小:4.00MB 所需:9积分/C币
2. python-cheatsheet url:https://github.com/gto76/python-cheatsheet star: 31000 fork: 5600 watch...
plotnine provides over 20 stats for you to use. each stat is a function, so you can get help in the usual way, e.g.?stat_bin. to see a complete list of stats, try the ggplot2 cheatsheet. 3.7.1exercises what is the default geom associated withstat_summary()? how could you rewrite...
Python is a general purpose programming language known for its readability. It is widely applied in various fields. InData Science, Python libraries likeNumpy,Pandas, andMatplotlibare used for data analysis and visualization. Python frameworks likeDjango, andPyramid, make the development and deployment...
链接: https://github.com/bfortuner/pytorch-cheatsheet 数学 如果你想真正的理解机器学习,你需要有扎实的统计学(尤其是概率论), 线性代数以及微积分基础。我在上大学的时候辅修了数学专业,但是我肯定还是需要对这些数学知识进行复习。如果你想理解常用机器学习算法背后的数学原理,那么下面的这些速查表将会是你需要的...
Python速查表:https://github.com/ShowMeAI-Hub/awesome-AI-cheatsheets/tree/main/Python 拓展参考资料 Anaconda官方网站https://www.anaconda.com/download/#macos conda官方网站https://conda.io/docs/ pip官方网站https://pip.pypa.io/en/stable/