Скачать или смотреть Plotly how to make gauge chart financial analysis with python 2021

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plotly is a powerful python library used for creating interactive and visually appealing data visualizations, including financial analysis tools like gauge charts. a gauge chart is useful for displaying a single value within a range and comparing it against predefined thresholds. in this tutorial, we will show you how to create a gauge chart to analyze a financial metric, such as the 2021 return on investment, using plotly.

here is a step-by-step guide to creating a gauge chart for financial analysis using python and plotly:

step 1: install plotly
if you haven't installed plotly yet, you can do so using pip:



step 2: import the necessary libraries



step 3: define your financial metric data
let's assume you have a 2021 return on investment value of 15%:



step 4: create a gauge chart using plotly



in this code snippet:
we define a gauge chart with the mode set to "gauge+number".
we set the value of the gauge chart to the return on investment value.
we specify the range of the gauge chart from 0 to 30.
we define color ranges for different value intervals (0-10, 10-20, 20-30).
we set a threshold line at 20 with a red color.

step 5: display the gauge chart
you can display the gauge chart using the `show()` method of the `figure` object.

by following these steps and running the provided code example, you will be able to create an interactive gauge chart for financial analysis of the 2021 return on investment using plotly in python. this visualization can help you quickly assess the performance of your investment and compare it against predefined benchmarks.

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