remove example + make small changes to metadata

doc/python/b64.md

@@ -6,7 +6,7 @@ jupyter:
       extension: .md
       format_name: markdown
       format_version: '1.3'
-      jupytext_version: 1.15.2
+      jupytext_version: 1.16.3
   kernelspec:
     display_name: Python 3 (ipykernel)
     language: python
@@ -20,20 +20,21 @@ jupyter:
     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.9.0
+    version: 3.10.0
   plotly:
-    description: How to format axes of 3d plots in Python with Plotly.
-    display_as: b64
+    description: How to use typed arrays in Plotly.py
+    display_as: file_settings
     language: python
     layout: base
-    name: b64
-    order: 1
-    page_type: example_index
+    name: Improving Performance with Typed Arrays
+    order: 39
     permalink: python/b64/
     thumbnail: thumbnail/b64.png
 ---
 
+```python
 ### Simple example showing how arrays of numbers could be passed as base64 typed array objects to plotly.js
+```
 
 ```python
 import plotly.graph_objects as go
@@ -102,97 +103,3 @@ fig = go.Figure(data=[go.Scatter3d(
 
 fig.show()
 ```
-
-### Similar example where base64 is automatically applied to pass numpy arrays to plotly.js
-
-```python
-import plotly.graph_objects as go
-import numpy as np
-
-np.random.seed(1)
-
-N = 10000
-
-x = np.random.randn(N)
-y = np.random.randn(N).astype('float32')
-z = np.random.randint(size=N, low=0, high=256, dtype='uint8')
-c = np.random.randint(size=N, low=-10, high=10, dtype='int8')
-
-fig = go.Figure(data=[go.Scatter3d(
-    x=x,
-    y=y,
-    z=z,
-    marker=dict(color=c),
-    mode='markers',
-    opacity=0.2
-)])
-
-fig.show()
-```
-
-
-### Example where base64 is applied to pass 2 dimensional values as typed array objects to plotly.js using shape in the spec
-
-```python
-import plotly.graph_objects as go
-import numpy as np
-from base64 import b64encode
-
-def b64(arr) :
-  return {
-      'dtype': str(arr.dtype),
-      'bdata': b64encode(arr).decode('ascii'),
-      'shape': None if arr.ndim == 1 else str(arr.shape)[1:-1]
-  }
-
-np.random.seed(1)
-
-M = 100
-N = 200
-
-x = np.arange(0, M, 1, 'int32')
-y = np.arange(0, N, 1, 'uint8')
-z = np.random.random([N, M])
-
-fig = go.Figure(data=[go.Surface(
-    x=b64(x),
-    y=b64(y),
-    z=b64(z)
-)])
-
-fig.show()
-```
-
-### Similar example where base64 is automatically applied to pass multi-dimensional numpy arrays to plotly.js
-
-```python
-import plotly.graph_objects as go
-import numpy as np
-from base64 import b64encode
-
-np.random.seed(1)
-
-M = 100
-N = 200
-
-x = np.arange(0, M, 1, 'int32')
-y = np.arange(0, N, 1, 'uint8')
-z = np.random.random([N, M])
-
-fig = go.Figure(data=[go.Surface(
-    x=x,
-    y=y,
-    z=z
-)])
-
-fig.show()
-```
-
-
-```python
-
-```
-
-```python
-
-```