OHLC Chart Initially we will use Yahoo finance to download the OHLC data of Tesla from 1st February 2020 to 3 March 2020.If you have to go someplace, which of the following would you prefer: Your relative telling you to drive straight for 15 kms, then take a left at 6th Avenue, then right, then a slight left and drive for 10 minutes to reach the destination A map with the route highlighted.
Interactive 3D Scatter Plot Python Download The OHLCObviously, we would prefer a map as it is easier to reference. And Plotly Python does just that Plotly Python is a library which helps in data visualisation in an interactive manner. But you might be wondering why do we need Plotly when we already have matplotlib which does the same thing. Plotly was created to make data more meaningful by having interactive charts and plots which could be created online as well. However, Plotly can be used as both, an offline as well as online tool, thus giving us the best of both worlds. In fact, the charts created by using plotly have the unique feature that when you hover on the individual element on the graph, the number associated with the figure comes up. According to its official website, Plotly has support for over 40 chart types and can even be used for 3 dimensional use cases. Interactive 3D Scatter Plot Python Free So ThatConsidering the collaborative environment of Python, the company behind the library has kept the library open source and free so that it can be beneficial for everyone. The plotly python library consists of the following packages: plotly: This is the main package which contains all the functionality graphobjs: This package contains objects, or templates of figures which are used for visualising matplotllib: The interesting thing about plotly is its support matplotlib figures as well Let us now begin our journey in the world of plotly by first installing it. How to install Plotly in Python The great thing about Python is we can easily install most of the packages using the pip command. Interactive 3D Scatter Plot Python Code Is AsThus, the python code is as follows: pip install plotly You can use it in the Anaconda terminal as shown below: If you want to check the version of plotly installed, you can use the following command pip show plotly You will find the output as shown below: Plotly also contains an express feature which makes it even easier to create graphs and objects. Online Vs Offline Usage Initially, the creators of plotly had given both online and offline capabilities for users of the plotly package, but it led to confusion on how the graphs were rendered. Lets see them now Rendering as an HTML file or in the Notebook We will first see how we can use the plots as a seperate html file. Creating an HTML file (plotly.offline.plot) We use plotly.offline.plot() to create a standalone HTML file of the plot or chart. A sample code of a graph with the x axis and y axis elements is given below: As we have written the optional code autoopenTrue, this will open a new browser tab with the graph. We will now see how to render it in the python notebook itself. Jupyter notebook We use the command plotly.offline.iplot() when working offline in a Jupyter Notebook. This will generate the graph or plot in the same notebook itself. The same graph will be plotted with the following code: Great With this out of the way, let us now see the various kinds of cool figures we can make by using Plotly. Since line charts were done on basic numbers, we will see how we can plot the Closing price of Tesla by using the Plotly Python library now.
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