Use the "vincent 'class library to create visualized charts in Python

Use the "Vincent" class library to create a visual chart in Python In Python, the "Vincent" library can easily create a variety of visual charts, including histogram, scattered dot charts, folding line charts, cake charts, etc.Vincent is a visual library based on the data of Vega and Vega-Lite. It provides an easy-to-use API. It can generate high-quality charts via Python code. Below is a sample code using Vincent to create a direct chart: python import vincent # Create a dictionary containing data data = {'data 1': [4, 5, 6, 7, 2, 3, 4, 7, 8, 9], bar = vincent.Bar(data, iter_idx='index') # Set the X -axis and Y axis tags bar.axis_titles (x = 'x axis tag', y = 'y -axis tag') # Set the width and height of the chart bar.width = 800 bar.height = 400 # Save chart to html file Next, use the `Axis_titles` method to set the tags of the X and Y axis.Then, set the width and height of the chart through the attributes of `width` and` height`. Finally, use the `TO_JSON` method to save the chart as an HTML file. Through the above example code, we can easily use the Vincent class library to create a variety of visual charts, and make related configurations according to the needs, such as setting labels and adjusting the size.By writing similar code, more complex visualized charts can be achieved, and more intuitive data analysis and display effects can be provided.