|
23 | 23 |
|
24 | 24 | In Pandas, the data is usually utilized to support statistical analysis in SciPy, plotting functions from Matplotlib, and machine learning algorithms in Scikit-learn. |
25 | 25 |
|
26 | | -### Core Components of Pandas Data Structure |
27 | | -Pandas have two core data structure components, and all operations are based on those two objects. Organizing data in a particular way is known as a data structure. Here are the two pandas data structures: |
28 | | - |
29 | | -* **Series** |
30 | | -* **DataFrame** |
31 | | - |
32 | | - |
33 | | -## Table of contents 📋 |
34 | | - |
35 | | - |
36 | | -[001_Python_Pandas_DataFrame](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_DataFrame.ipynb) |
37 | | - |
38 | | - |
39 | | - - [001_Python_Pandas_DataFrame_from_Dictionary](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/001_Python_Pandas_DataFrame_from_Dictionary.ipynb) |
40 | | - |
41 | | - - [002_Python_Pandas_DataFrame_from_List](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/002_Python_Pandas_DataFrame_from_List.ipynb) |
42 | | - |
43 | | - - [003_Python_Pandas_DataFrame_head()_and_tail()](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/003_Python_Pandas_DataFrame_head()_and_tail().ipynb) |
44 | | - |
45 | | - - [004_Python_Pandas_DataFrame_drop_columns](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/004_Python_Pandas_DataFrame_drop_columns.ipynb) |
46 | | - |
47 | | - - [005_Python_Pandas_DataFrame_drop_duplicates](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/005_Python_Pandas_DataFrame_drop_duplicates.ipynb) |
48 | | - |
49 | | - - [006_Python_Pandas_DataFrame_drop_columns_with_NA](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/006_Python_Pandas_DataFrame_drop_columns_with_NA.ipynb) |
50 | | - |
51 | | - - [007_Python_Pandas_DataFrame_rename_columns](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/007_Python_Pandas_DataFrame_rename_columns.ipynb) |
52 | | - |
53 | | - - [008_Python_Pandas_DataFrame_to_Python_dictionary](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/008_Python_Pandas_DataFrame_to_Python_dictionary.ipynb) |
54 | | - |
55 | | - - [009_Python_Pandas_DataFrame_set_index](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/009_Python_Pandas_DataFrame_set_index.ipynb) |
56 | | - |
57 | | - - [010_Python_Pandas_DataFrame_reset_index](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/010_Python_Pandas_DataFrame_reset_index.ipynb) |
58 | | - |
59 | | - |
60 | | -[002_Python_Pandas_Exercise_1](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/002_Python_Pandas_Exercise_1.ipynb) |
61 | | - |
62 | | - |
63 | | -[003_Python_Pandas_Exercise_2](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/003_Python_Pandas_Exercise_2.ipynb) |
64 | | - |
65 | | - |
66 | | -[automobile_data.csv](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/automobile_data.csv) |
67 | | - |
68 | | - |
69 | | -[pokemon_data.csv](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/pokemon_data.csv) |
70 | | - |
71 | | - |
72 | | -[Pandas Cheat Sheet Data Wrangling in Python.pdf](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/Pandas%20Cheat%20Sheet%20Data%20Wrangling%20in%20Python.pdf) |
73 | | - |
74 | | - |
75 | | -[Pandas Cheat Sheet for Data Science in Python.pdf](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/Pandas%20Cheat%20Sheet%20for%20Data%20Science%20in%20Python.pdf) |
76 | | - |
77 | 26 |
|
78 | 27 | ## Main Features |
79 | 28 | Here are just a few of the things that pandas does well: |
@@ -130,6 +79,58 @@ Here are just a few of the things that pandas does well: |
130 | 79 | [timeseries]: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#time-series-date-functionality |
131 | 80 |
|
132 | 81 |
|
| 82 | +### Core Components of Pandas Data Structure |
| 83 | +Pandas have two core data structure components, and all operations are based on those two objects. Organizing data in a particular way is known as a data structure. Here are the two pandas data structures: |
| 84 | + |
| 85 | +* **Series** |
| 86 | +* **DataFrame** |
| 87 | + |
| 88 | + |
| 89 | +## Table of contents 📋 |
| 90 | + |
| 91 | + |
| 92 | +[001_Python_Pandas_DataFrame](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_DataFrame.ipynb) |
| 93 | + |
| 94 | + |
| 95 | + - [001_Python_Pandas_DataFrame_from_Dictionary](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/001_Python_Pandas_DataFrame_from_Dictionary.ipynb) |
| 96 | + |
| 97 | + - [002_Python_Pandas_DataFrame_from_List](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/002_Python_Pandas_DataFrame_from_List.ipynb) |
| 98 | + |
| 99 | + - [003_Python_Pandas_DataFrame_head()_and_tail()](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/003_Python_Pandas_DataFrame_head()_and_tail().ipynb) |
| 100 | + |
| 101 | + - [004_Python_Pandas_DataFrame_drop_columns](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/004_Python_Pandas_DataFrame_drop_columns.ipynb) |
| 102 | + |
| 103 | + - [005_Python_Pandas_DataFrame_drop_duplicates](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/005_Python_Pandas_DataFrame_drop_duplicates.ipynb) |
| 104 | + |
| 105 | + - [006_Python_Pandas_DataFrame_drop_columns_with_NA](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/006_Python_Pandas_DataFrame_drop_columns_with_NA.ipynb) |
| 106 | + |
| 107 | + - [007_Python_Pandas_DataFrame_rename_columns](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/007_Python_Pandas_DataFrame_rename_columns.ipynb) |
| 108 | + |
| 109 | + - [008_Python_Pandas_DataFrame_to_Python_dictionary](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/008_Python_Pandas_DataFrame_to_Python_dictionary.ipynb) |
| 110 | + |
| 111 | + - [009_Python_Pandas_DataFrame_set_index](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/009_Python_Pandas_DataFrame_set_index.ipynb) |
| 112 | + |
| 113 | + - [010_Python_Pandas_DataFrame_reset_index](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/001_Python_Pandas_Methods/010_Python_Pandas_DataFrame_reset_index.ipynb) |
| 114 | + |
| 115 | + |
| 116 | +[002_Python_Pandas_Exercise_1](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/002_Python_Pandas_Exercise_1.ipynb) |
| 117 | + |
| 118 | + |
| 119 | +[003_Python_Pandas_Exercise_2](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/003_Python_Pandas_Exercise_2.ipynb) |
| 120 | + |
| 121 | + |
| 122 | +[automobile_data.csv](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/automobile_data.csv) |
| 123 | + |
| 124 | + |
| 125 | +[pokemon_data.csv](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/pokemon_data.csv) |
| 126 | + |
| 127 | + |
| 128 | +[Pandas Cheat Sheet Data Wrangling in Python.pdf](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/Pandas%20Cheat%20Sheet%20Data%20Wrangling%20in%20Python.pdf) |
| 129 | + |
| 130 | + |
| 131 | +[Pandas Cheat Sheet for Data Science in Python.pdf](https://github.com/milaan9/10_Python_Pandas_Module/blob/main/Pandas%20Cheat%20Sheet%20for%20Data%20Science%20in%20Python.pdf) |
| 132 | + |
| 133 | + |
133 | 134 | These are online read-only versions. |
134 | 135 |
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135 | 136 |
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