17. Creating Subplots In Matplotlib | Numerical Programming

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In this Numerical Programming chapter

0. Numerical Programming with Python
1. Introduction to NumPy
2. Creating Numpy Arrays
3. Numpy Data Objects, dtype
4. Numerical Operations on Numpy Arrays
5. Numpy Arrays: Concatenating, Flattening and Adding Dimensions
6. Python, Random Numbers and Probability
7. Weighted Probabilities
8. Synthetical Test Data With Python
9. Numpy: Boolean Indexing
10. Matrix Arithmetics under NumPy and Python
11. Reading and Writing Data Files: ndarrays
12. Overview of Matplotlib
13. Formatting a plot in Matplotlib
14. Matplotlib Object Hierarchy
15. Spines and Ticks in Matplotlib
16. Adding Legends and Annotations in Matplotlib
17. Creating Subplots in Matplotlib
18. Gridspec in Matplotlib
19. Histograms with Matplotlib
20. Contour Plots with Matplotlib
21. Image Processing in Python with Matplotlib
22. Image Processing Techniques with Python and Matplotlib
23. Creating Videos from One or More Images
24. Moving Watermarks Video with Python
25. Introduction to Pandas
26. Pandas DataFrame
27. Accessing and Changing values of DataFrames
28. Pandas Styling
29. Pandas Pivot
30. Pandas: groupby
31. Pandas Groupby Example
32. Reading and Writing Data in Pandas
33. Dealing with NaN
34. Binning in Python and Pandas
35. Multi-level Indexing in Pandas
36. Data Visualization with Pandas
37. Python Date and Time
38. Time Series in Pandas and Python
39. Expenses and income example with Pandas and Python
40. Net Income Method Example with Numpy, Matplotlib and Scipy
41. Estimation of Corona cases with Python and Pandas
42. Linear Combinations in Python

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Deutsche Ausgabe

DE Unterdiagramme und Subplots

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This page was written by Bernd Klein.

Bernd is an experienced computer scientist with a history of working in the education management industry and is skilled in Python, Perl, Computer Science, and C++. He has a Dipl.-Informatiker / Master Degree focused in Computer Science from Saarland University.

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