TypeError: this.Plotly.newPlot is not a function in Microsoft Learn platform

Ashish Chandra 75

I am using the Microsoft Learn platform https://learn.microsoft.com/en-us/training/modules/introduction-to-classical-machine-learning/3-exercise-separate-data-test-model

The kernel I have selected is azureml_py38

The code that is being executed within the sandbox is as follows:

import graphing # Custom graphing code. See our GitHub repository for details

# Let's take a quick look at our data
graphing.scatter_2D(data, label_x="date", label_y="min_temperature", title="January Temperatures (°F)")

I get this error any time the graphing library is being used:

TypeError: this.Plotly.newPlot is not a function

I am using the Chrome browser on Ubuntu 20.04.6 LTS

romungi-MSFT 43,451 Reputation points Microsoft Employee

2023-10-20T08:33:18.0966667+00:00

@Ashish Chandra The cell before the one you are using is downloading the file graphing.py which is being imported in the cell you are trying to execute. The file graphing.py has the reference to Plotly and your browser and machine should not be an issue here since you are using the sandbox to run the code. The problem I think is with the sandbox being outdated or it does not have the correct version of plotly which is failing to run scatter method from plotly.express
I would suggest reporting the issue on the repo. This will help the maintainers to fix the issue in the sandbox. Thanks!!
Laaveshwaran Parthiban 20 Reputation points

2023-10-21T14:03:33.95+00:00

I am getting the same error. The graphs are not rendering.
swati jalan 15 Reputation points

2023-10-23T09:28:39.58+00:00

I am getting the same error as well.
Robert Szaszak 15 Reputation points

2023-10-25T10:08:12.82+00:00

Getting the same error in this tutorial: https://learn.microsoft.com/en-us/training/modules/introduction-to-machine-learning/3-exercise-create-ml-model?source=learn

GARAY GUIÑO ALEXANDER 0

Lo que hice fue cambiar de librería en vez de graphing usé matpltlib como aquí:

graphing.line_2D(dict(Train=train_accuracies, Test=test_accuracies), 
                    seeds,
                    label_x="Seed value (random_state)",
                    label_y="Accuracy",
                    title="Performance", show=True)
LO CAMBIÉ CON:
import matplotlib.pyplot as plt
# Crear un gráfico de línea con los datos de precisión para el conjunto de entrenamiento y prueba
plt.plot(seeds, train_accuracies, label='Train')
plt.plot(seeds, test_accuracies, label='Test')
# Configurar etiquetas y título
plt.xlabel("Seed value (random_state)")
plt.ylabel("Accuracy")
plt.title("Performance")
# Agregar leyenda
plt.legend()
# Mostrar el gráfico
plt.show()

Mathieu Bergounioux 5 Reputation points

2024-02-19T11:42:12.5433333+00:00

Same, but on this similar page :

https://learn.microsoft.com/en-us/training/modules/optimize-model-performance-roc-auc/3-exercise-evaluate-roc-curves
Saad Hussain 0 Reputation points

2024-06-20T07:33:16.18+00:00

i am getting the same problem and this really annoying me
i have also import module using wget but still getting the error

4 answers

ntwari bruce 15

I have used matplotlib for visualization and wrote an entire no code for visualizing my data.

romungi-MSFT 43,451 Reputation points Microsoft Employee

2023-10-25T05:50:48.96+00:00

Thanks @ntwari bruce . It would be great if you could post your resolution for reference. Thanks!!
Laaveshwaran Parthiban 20 Reputation points

2023-10-26T06:04:49.59+00:00

could you drop down your code

Damjan Kodre 0

Something like that

!pip install matplotlib

import matplotlib.pyplot as plt

plt.figure(figsize=(10, 6))  # Adjust the size of the plot as needed
plt.scatter(data['date'], data['min_temperature'])

# Adding title and labels
plt.title("January Temperatures (°F)")
plt.xlabel("Date")
plt.ylabel("Minimum Temperature (°F)")

Damjan Kodre 0

or better add:

import matplotlib.pyplot as plt
import numpy as np

def plot_with_trendline(dataset, label_x, label_y, title=None, trendline=None):
    """
    Plots a scatter plot of the given dataset with a trendline.

    Parameters:
    - dataset: Pandas DataFrame containing the data to plot.
    - label_x: String, name of the column in dataset to use as x-axis.
    - label_y: String, name of the column in dataset to use as y-axis.
    - trendline: Function, a model's prediction function to create the trendline.
    """

    # Data for plotting
    x = dataset[label_x]
    y = dataset[label_y]

    # Creating the scatter plot
    plt.figure(figsize=(10, 6))  # Adjust the size of the plot as needed
    plt.scatter(x, y, label='Data points')

    # Plotting the trendline
    if trendline:
        x_values_for_trendline = np.linspace(x.min(), x.max(), 100)  # 100 points for a smooth line
        y_values_for_trendline = trendline(x_values_for_trendline.reshape(-1, 1))
        plt.plot(x_values_for_trendline, y_values_for_trendline, color='red', label='Model trendline')

    # Adding title, labels, and legend
    if title:
        plt.title(title)
    else:
        plt.title("Linear Regression Model")
    plt.xlabel(label_x)
    plt.ylabel(label_y)
    plt.legend()

    # Show the plot
    plt.show()

then you can just replace every time you have graphing.scatter_2D with plot_with_trendline

Matti Leskinen 5 Reputation points

2023-11-15T13:10:11.8366667+00:00

I asked this from the Bing AI chatbot

Change this following code to use matplotlib

import graphing # Custom graphing code. See our GitHub repository for details

graphing.scatter_2D(data, label_x="date", label_y="min_temperature", title="January Temperatures (°F)")

And atleast it's drawing something now.

Hope this helps.
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Q&A Assist

2023-10-19T22:32:37.13+00:00

AI generated content. This question contains an answer created with AI from Q&A Assist. Learn more
The error message TypeError: this.Plotly.newPlot is not a function suggests that the Plotly function is not being recognized as a function. This could be due to a few reasons, such as the Plotly library not being properly installed or imported.

Based on the provided context, it seems that the Plotly library needs to be installed and attached to the cluster in order to be used. Additionally, the output_type argument needs to be specified as 'div' when calling the plot() function, and the output of the plot() function needs to be passed to the displayHTML() function.

It's possible that the graphing library being used in the code is not properly importing or using the Plotly library. I would recommend checking the graphing library code to ensure that Plotly is being properly imported and used.

References:

Plotly documentation on Azure Databricks

Notebook visualization in Microsoft Fabric
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Crhistian Souza 0 Reputation points

2024-02-20T22:07:15.32+00:00

Hi Guys! On top of all, I'm very disappointed that a Microsoft Learn course shows issues like that! :-( That said, I found to contour this problem by using ChatGPT to help me migrate all code of the module I am studying to my local computer. I copied and saved the code into Python script files (.py), including the problematic graphing unit, which I saved locally as graphing.py. By doing this I finally could figure out what modules were used in graphing that I had to install on my computer. After some back and forth, voilà! I finally can see the graphs! I'm running all this in Visual Studio. Anyway, this solution was also a great opportunity for me to learn more about Python scripts, that's I suggest you to try the same!
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TypeError: this.Plotly.newPlot is not a function in Microsoft Learn platform

4 answers