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KhomZ / Automatic-Number-Plate-Recognition-with-SMS-Alert

Automatic Nepali Number Plate Recognition with Sms Reporting System x Real Time Machine Learning Approach on Traffic Congestion Prediction System in Internet of Vehicles
MIT License
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File ~\anaconda3\lib\site-packages\plotly\io\_kaleido.py:133 in to_image raise ValueError( ValueError: #23

Open KhomZ opened 2 years ago

KhomZ commented 2 years ago

Traceback (most recent call last):

Input In [32] in <cell line: 3> pio.write_image(fig, "opnnn103.png")

File ~\anaconda3\lib\site-packages\plotly\io_kaleido.py:267 in write_image img_data = to_image(

File ~\anaconda3\lib\site-packages\plotly\io_kaleido.py:133 in to_image raise ValueError(

ValueError: Image export using the "kaleido" engine requires the kaleido package, which can be installed using pip: $ pip install -U kaleido

KhomZ commented 2 years ago

$ pip install -U kaleido

KhomZ commented 2 years ago

Kaleido is a cross-platform library for generating static images (e.g. png, svg, pdf, etc.) for web-based visualization libraries, with a particular focus on eliminating external dependencies. The project's initial focus is on the export of web-based visualization libraries, and other programming languages.

The primary focus of Kaleido (at least initially) is to serve as a dependency of web-based visualization libraries like plotly.py.

As such, the focus is on providing a programmatic-friendly, rather than user-friendly, API.