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1 | 1 | import plotly.graph_objs as go
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2 | 2 | from _plotly_utils.basevalidators import ColorscaleValidator
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3 | 3 | from ._core import apply_default_cascade
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4 |
| -from io import BytesIO |
5 |
| -import base64 |
6 | 4 | from .imshow_utils import rescale_intensity, _integer_ranges, _integer_types
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7 | 5 | import pandas as pd
|
8 |
| -from .png import Writer, from_array |
9 | 6 | import numpy as np
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| 7 | +from plotly.utils import image_array_to_data_uri |
10 | 8 |
|
11 | 9 | try:
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12 | 10 | import xarray
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13 | 11 |
|
14 | 12 | xarray_imported = True
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15 | 13 | except ImportError:
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16 | 14 | xarray_imported = False
|
17 |
| -try: |
18 |
| - from PIL import Image |
19 |
| - |
20 |
| - pil_imported = True |
21 |
| -except ImportError: |
22 |
| - pil_imported = False |
23 | 15 |
|
24 | 16 | _float_types = []
|
25 | 17 |
|
26 | 18 |
|
27 |
| -def _array_to_b64str(img, backend="pil", compression=4, ext="png"): |
28 |
| - """Converts a numpy array of uint8 into a base64 png string. |
29 |
| -
|
30 |
| - Parameters |
31 |
| - ---------- |
32 |
| - img: ndarray of uint8 |
33 |
| - array image |
34 |
| - backend: str |
35 |
| - 'auto', 'pil' or 'pypng'. If 'auto', Pillow is used if installed, |
36 |
| - otherwise pypng. |
37 |
| - compression: int, between 0 and 9 |
38 |
| - compression level to be passed to the backend |
39 |
| - ext: str, 'png' or 'jpg' |
40 |
| - compression format used to generate b64 string |
41 |
| - """ |
42 |
| - # PIL and pypng error messages are quite obscure so we catch invalid compression values |
43 |
| - if compression < 0 or compression > 9: |
44 |
| - raise ValueError("compression level must be between 0 and 9.") |
45 |
| - alpha = False |
46 |
| - if img.ndim == 2: |
47 |
| - mode = "L" |
48 |
| - elif img.ndim == 3 and img.shape[-1] == 3: |
49 |
| - mode = "RGB" |
50 |
| - elif img.ndim == 3 and img.shape[-1] == 4: |
51 |
| - mode = "RGBA" |
52 |
| - alpha = True |
53 |
| - else: |
54 |
| - raise ValueError("Invalid image shape") |
55 |
| - if backend == "auto": |
56 |
| - backend = "pil" if pil_imported else "pypng" |
57 |
| - if ext != "png" and backend != "pil": |
58 |
| - raise ValueError("jpg binary strings are only available with PIL backend") |
59 |
| - |
60 |
| - if backend == "pypng": |
61 |
| - ndim = img.ndim |
62 |
| - sh = img.shape |
63 |
| - if ndim == 3: |
64 |
| - img = img.reshape((sh[0], sh[1] * sh[2])) |
65 |
| - w = Writer( |
66 |
| - sh[1], sh[0], greyscale=(ndim == 2), alpha=alpha, compression=compression |
67 |
| - ) |
68 |
| - img_png = from_array(img, mode=mode) |
69 |
| - prefix = "data:image/png;base64," |
70 |
| - with BytesIO() as stream: |
71 |
| - w.write(stream, img_png.rows) |
72 |
| - base64_string = prefix + base64.b64encode(stream.getvalue()).decode("utf-8") |
73 |
| - else: # pil |
74 |
| - if not pil_imported: |
75 |
| - raise ImportError( |
76 |
| - "pillow needs to be installed to use `backend='pil'. Please" |
77 |
| - "install pillow or use `backend='pypng'." |
78 |
| - ) |
79 |
| - pil_img = Image.fromarray(img) |
80 |
| - if ext == "jpg" or ext == "jpeg": |
81 |
| - prefix = "data:image/jpeg;base64," |
82 |
| - ext = "jpeg" |
83 |
| - else: |
84 |
| - prefix = "data:image/png;base64," |
85 |
| - ext = "png" |
86 |
| - with BytesIO() as stream: |
87 |
| - pil_img.save(stream, format=ext, compress_level=compression) |
88 |
| - base64_string = prefix + base64.b64encode(stream.getvalue()).decode("utf-8") |
89 |
| - return base64_string |
90 |
| - |
91 |
| - |
92 | 19 | def _vectorize_zvalue(z, mode="max"):
|
93 | 20 | alpha = 255 if mode == "max" else 0
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94 | 21 | if z is None:
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@@ -422,7 +349,7 @@ def imshow(
|
422 | 349 | for ch in range(img.shape[-1])
|
423 | 350 | ]
|
424 | 351 | )
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425 |
| - img_str = _array_to_b64str( |
| 352 | + img_str = image_array_to_data_uri( |
426 | 353 | img_rescaled,
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427 | 354 | backend=binary_backend,
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428 | 355 | compression=binary_compression_level,
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