- A line plot is a type of chart to display data trend over time or another continuous interval.
- In a line plot , data is represented by a series of points connected by straight line segments.
- The X-axis represents the independent variable (e.g. time) and Y- axis represented the depended variable (e.g value or counts)
- Line plots are commonly used in various field,. including finance, Science, and engineering , to visualization trends and patterns in data.
- They are useful for identifying relationship between variables, detecting outliers, and comparing multiple datasets.
- Line plot are relatively simple to create and can be easily customized using various chart setting and formulating option.
- They are effective at conveying large ampints of data in compact format.
- Line plot are power full tool for analyzing and visualizing data trends and are a popular choice for displaying time-series and other continuous datasets.
- Tracking stock price over time.
- Visualization changes in temperature or weather patterns over time.
- Analyzing changes in traffic patters or congestion over time.
- Display the frequency to specific events or occurrences over time.
- Examining Changes in customer behavior or purchasing habits over the time.
- Import the necessuray libraries: Import the matplotlib library along with any other libraries you may need for your dat analysis.
- Load Your data: italicized textLoad ypur data into pandas DataFrame or NumPy.
- Plot your data: use the plot() function to plot your data. Customize the color, line style, width of the line, as well as the size and shape of the points.
- Customize the Chart: use additional matplotlib function to customize the chart, includinf setting the title, azes labels, legend and gridline.
- Show the chart: Use the show() function to display the chart.
