Improve first impression presentation

alugowski · Oct 26, 2023 · fa02f6c · fa02f6c
1 parent 4a912c4
commit fa02f6c
Showing 1 changed file with 31 additions and 29 deletions.
diff --git a/README.md b/README.md
@@ -10,6 +10,33 @@ Make every matrix beautiful.
 MatRepr formats matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.
 See [Jupyter notebook for examples.](https://nbviewer.org/github/alugowski/matrepr/blob/main/doc/demo.ipynb)
 
+```python
+from matrepr import mdisplay, mprint
+```
+
+`mprint(A)` or `to_str(A)`:
+```
+<1000×1000, 212345 'float64' elements, coo>
+      0       1       2       3       4       5        6       7
+  ┌                                                                      ┐
+0 │                                 0.3876                           ... │
+1 │ 0.5801  0.5085          0.8927                           0.629   ... │
+2 │                                                                  ... │
+3 │                 0.7142                                           ... │
+4 │                                         0.8631                   ... │
+5 │ 0.7863  0.1298  0.9918   0.71                            0.3444  ... │
+6 │                 0.9481                          0.9609           ... │
+7 │                                                 0.09361  0.1679  ... │
+8 │                                 0.4023                           ... │
+  │   :       :       :       :       :       :        :       :     ... │
+  └                                                                      ┘
+```
+
+`mdisplay(A)` or `to_html(A)`:
+
+<img src="doc/images/html.png" width=400 alt="HTML screenshot"/><br>
+
+Supports:
 * **SciPy** - sparse matrices and arrays like `csr_matrix` and `coo_array`
 * **NumPy** - `ndarray` [(demo)](https://nbviewer.org/github/alugowski/matrepr/blob/main/doc/demo-numpy.ipynb)
 * **[PyTorch](https://pytorch.org/docs/stable/sparse.html)** - dense and sparse `torch.Tensor` [(demo)](https://nbviewer.org/github/alugowski/matrepr/blob/main/doc/demo-pytorch.ipynb)
@@ -31,46 +58,21 @@ Features:
 * A `__repr__` monkey patch to format matrices in the Python shell.
 * Fast.
 
-## Quick Start
-
+Install:
 ```shell
 pip install matrepr
 ```
+
 or
+
 ```shell
 conda install matrepr
 ```
 
-```python
-from matrepr import mdisplay, mprint
-```
-
-
-### String
-
-```
-<1000×1000, 212345 'float64' elements, coo>
-      0       1       2       3       4       5        6       7
-  ┌                                                                      ┐
-0 │                                 0.3876                           ... │
-1 │ 0.5801  0.5085          0.8927                           0.629   ... │
-2 │                                                                  ... │
-3 │                 0.7142                                           ... │
-4 │                                         0.8631                   ... │
-5 │ 0.7863  0.1298  0.9918   0.71                            0.3444  ... │
-6 │                 0.9481                          0.9609           ... │
-7 │                                                 0.09361  0.1679  ... │
-8 │                                 0.4023                           ... │
-  │   :       :       :       :       :       :        :       :     ... │
-  └                                                                      ┘
-```
-
-`mprint(A)`, `to_str(A)`  
-or simply `A` with monkey patching as below
+## More Examples
 
 ### HTML
 
-<img src="doc/images/html.png" width=400 alt="HTML screenshot"/><br>
 <img src="doc/images/html-cities.png" width=400 alt="HTML screenshot"/><br>
 <img src="doc/images/html-4d.png" width=400 alt="4D NumPy Array"/><br>
 <img src="doc/images/html-adjacency.png" width=290 alt="Adjacency Matrix"/><br>