Add x and y labels to a pandas plot

Question

Suppose I have the following code that plots something very simple using pandas: ``` import pandas as pd values = [[1, 2], [2, 5]] df2 = pd.DataFrame(values, columns=['Type A', 'Type B'], index=['Index 1', 'Index 2']) df2.plot(lw=2, colormap='jet', marker='.', markersize=10, title='Video streaming dropout by category') ``` How do I easily set x and y-labels while preserving my ability to use specific colormaps? I noticed that the `plot()` wrapper for pandas DataFrames doesn't take any parameters specific for that.

Accepted Answer

In Pandas version 1.10 you can use parameters `xlabel` and `ylabel` in the method `plot`:

```
df.plot(xlabel='X Label', ylabel='Y Label', title='Plot Title')
```

Add x and y labels to a pandas plot

Solution

Problem