this is the trace for the example when I try and run plotlyviz
Python 3.8.8 (default, Apr 13 2021, 15:08:03) [MSC v.1916 64 bit (AMD64)]
Type 'copyright', 'credits' or 'license' for more information
IPython 8.10.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: import kmapper as km
...:
...: # Some sample data
...: from sklearn import datasets
...: data, labels = datasets.make_circles(n_samples=5000, noise=0.03, factor=0.3)
...:
...: # Initialize
...: mapper = km.KeplerMapper(verbose=1)
...:
...: # Fit to and transform the data
...: projected_data = mapper.fit_transform(data, projection=[0,1]) # X-Y axis
...:
...: # Create a cover with 10 elements
...: cover = km.Cover(n_cubes=10)
...:
...: # Create dictionary called 'graph' with nodes, edges and meta-information
...: graph = mapper.map(projected_data, data, cover=cover)
KeplerMapper(verbose=1)
..Composing projection pipeline of length 1:
Projections: [0, 1]
Distance matrices: False
Scalers: MinMaxScaler()
..Projecting on data shaped (5000, 2)
..Projecting data using: [0, 1]
..Scaling with: MinMaxScaler()
Mapping on data shaped (5000, 2) using lens shaped (5000, 2)
Creating 100 hypercubes.
Created 239 edges and 93 nodes in 0:00:00.430858.
In [2]:
In [2]: plotlyviz(graph, title="Basic plot")
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[2], line 1
----> 1 plotlyviz(graph, title="Basic plot")
NameError: name 'plotlyviz' is not defined
In [3]: from kmapper.plotlyviz import plotlyviz
In [4]: plotlyviz(graph, title="Basic plot")
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[4], line 1
----> 1 plotlyviz(graph, title="Basic plot")
File ~\.virtualenvs\tda-UtggsFXo\lib\site-packages\kmapper\utils.py:11, in deprecated_alias.<locals>.deco.<locals>.wrapper(*args, **kwargs)
8 @functools.wraps(f)
9 def wrapper(*args, **kwargs):
10 rename_kwargs(f.__name__, kwargs, aliases)
---> 11 return f(*args, **kwargs)
File ~\.virtualenvs\tda-UtggsFXo\lib\site-packages\kmapper\plotlyviz.py:168, in plotlyviz(scomplex, colorscale, title, graph_layout, color_values, color_function_name, node_color_function, dashboard, graph_data, factor_size, edge_linewidth, node_linecolor, width, height, bgcolor, left, bottom, summary_height, summary_width, summary_left, summary_right, hist_left, hist_right, member_textbox_width, filename)
158 kmgraph, mapper_summary, n_color_distribution = get_mapper_graph(
159 scomplex,
160 colorscale=colorscale,
(...)
163 node_color_function=node_color_function,
164 )
166 annotation = get_kmgraph_meta(mapper_summary)
--> 168 plgraph_data = plotly_graph(
169 kmgraph,
170 graph_layout=graph_layout,
171 colorscale=colorscale,
172 factor_size=factor_size,
173 edge_linewidth=edge_linewidth,
174 node_linecolor=node_linecolor,
175 )
177 layout = plot_layout(
178 title=title,
179 width=width,
(...)
184 bottom=bottom,
185 )
186 result = go.FigureWidget(data=plgraph_data, layout=layout)
File ~\.virtualenvs\tda-UtggsFXo\lib\site-packages\kmapper\plotlyviz.py:393, in plotly_graph(kmgraph, graph_layout, colorscale, showscale, factor_size, edge_linecolor, edge_linewidth, node_linecolor, node_linewidth)
390 hover_text = [node["name"] for node in kmgraph["nodes"]]
391 color_vals = [node["color"] for node in kmgraph["nodes"]]
392 node_size = np.array(
--> 393 [factor_size * node["size"] for node in kmgraph["nodes"]], dtype=np.int
394 )
395 Xn, Yn, Xe, Ye = _get_plotly_data(links, layt)
397 edge_trace = dict(
398 type="scatter",
399 x=Xe,
(...)
403 hoverinfo="none",
404 )
File ~\.virtualenvs\tda-UtggsFXo\lib\site-packages\numpy\__init__.py:305, in __getattr__(attr)
300 warnings.warn(
301 f"In the future `np.{attr}` will be defined as the "
302 "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
304 if attr in __former_attrs__:
--> 305 raise AttributeError(__former_attrs__[attr])
307 # Importing Tester requires importing all of UnitTest which is not a
308 # cheap import Since it is mainly used in test suits, we lazy import it
309 # here to save on the order of 10 ms of import time for most users
310 #
311 # The previous way Tester was imported also had a side effect of adding
312 # the full `numpy.testing` namespace
313 if attr == 'testing':
AttributeError: module 'numpy' has no attribute 'int'.
`np.int` was a deprecated alias for the builtin `int`. To avoid this error in existing code, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
In [5]: import numpy as np
In [6]: np.__version__
Out[6]: '1.24.2'
In [7]: import plotly
In [8]: plotly.__version__
Out[8]: '5.13.0'
Hello,
this is the trace for the example when I try and run
plotlyviz