> For the complete documentation index, see [llms.txt](https://visual-python.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://visual-python.gitbook.io/docs/visualization/2.-pandas-plot.md).

# 2. Pandas Plot

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1. In the ***Visualization*** category, click ***Pandas Plot**.*

<figure><img src="/files/LkTyHXnzlyQx0wIk6BOW" alt="" width="551"><figcaption></figcaption></figure>

2. ***DataFrame***: Select the dataframe you want to graph. You can select specific columns via the funnel icon.
3. ***Code view***: Preview the code that will be output.
4. **Run**: Print and run the code.

* **The items below are set to default values if not entered:**

<figure><img src="/files/KQhG4zJnGV6d3FzCozEQ" alt="" width="563"><figcaption></figcaption></figure>

5. ***Chart Type***: Select the type of graph you want to output.
6. ***Chart Title***: Enter a title for the graph you want to output.
7. ***Figure Size***: Enter the size of the graph to output.
8. ***Font Size***: Choose a font size for the text in the graph.
9. ***Color Map***: Choose a color theme for the graph you want to output.
10. ***Show Grid***: Decide whether the grid is visible or not.
11. ***Show Legend***: Determine the visibility of the legend.
12. ***X Label Rotation***: Rotate the axis name if needed, useful if the name is long.
13. ***X Label, Y Label***: Name the axes.
14. ***X Limit, Y Limit***: Set the range of values to be displayed on the axis.
15. **X&#x20;*****Ticks, Y Ticks***: Specify the interval between axis tick marks.
16. ***Style***: For line graphs, specify the style of the lines.
17. ***X Column, Y Column***: Select the columns in the dataframe that you want to show in the graph.
18. ***Subplots Per Column***: Outputs multiple graphs in a single plot.
19. ***Subplot Layout***: Specify the layout when outputting multiple graphs into a single plot.
20. ***Use Index on X Ticks***: Select True to use the index of the dataframe as the x-axis.
21. ***Stacked***: If true, display the values in each column stacked.