Question

How can I upload and display a graph from excel into jupyter notebook?

Answer 1

How to upload and display a graph from excel into Jupyter notebook:
To plot (upload and display) graphs one could use Python (Pandas) integrated with Jupyter notebook. It is one of the best modern methods and platforms. Thus, the setup is Excel -> Python. Excel is used for data storage and initial exploratory plotting to get ideas cross instantly. On the other hand, Jupyter notebook could be used for huge datasets and final publication plots and even to trick for the best plots.

This commonly used service of custom counts i.e., comparative Excel services is done inspecting a portion of the key capacities. Excel-based custom estimations are written without adopting any new abilities. This process requires working with Notebooks which in turn requires the utilization of the Python language.

Jupyter notebook is independent and is a shareable unit of work, and being an archive, consolidates graphs or charts. It has an intelligent execution environment with which one can find creator recipes and plot graphs intuitively.

Jupyter Notebooks is a record containing code, such as Python, R, Julia, and others; charts, conditions, and remarking to depict the code. It requires generating Plotly graphs in IPython (Jupyter) Notebooks. Plotly is a general visualization system with APIs for Python and other programming languages. With Plotly you could import, copy and paste, or stream data to be analyzed and visualized. In Plotly, there are options or functionalities making it plot more interactive. You would need to save or download the plot as an image. You could use zoom in and out function. You could play with the 7 Plotly Graphs in 3D.

So, all these are done creating charts from CSV (Excel) files with Plotly and Python, thus plotting CSV data in Python. Plotly works in both, online or offline mode, or in Jupyter notebooks using Plotly's Python library which is free and open source. CSV or comma-delimited-values format is used for storing structured data. This setup uses Plotly to plot graphs using CSV data, and Pandas. Later, data is imported from a local file, say, sample-data.csv with the Pandas function: read_csv().

With Plotly, first create a simple online graph, uploading data from a table or an excel file to learn how it works and all the possible customizations. Create an Excel file with the data. Open this file in your browser. You could name the python file as example.py exposing a simple syntax for complex charts. Then use Plotly. Save the charts in JSON format for portability. Plotly comes with more than 30 chart types.

In the process, the below steps are followed:

The graph is created importing the data from Excel, CSV, and SQL.
Create a table.
Read an Excel table and name it as 'test' in Pandas.
Jupyter notebook reads in an excel or sheet.

Excel table import starts from Plotly.