Line plot with data points in pandas

Question

Using `pandas` I can easily make a line plot: ``` import pandas as pd import numpy as np %matplotlib inline # to use it in jupyter notebooks df = pd.DataFrame(np.random.randn(50, 4), index=pd.date_range('1/1/2000', periods=50), columns=list('ABCD')) df = df.cumsum() df.plot(); ``` But I can't figure out how to also plot the data as points over the lines, as in this example: This matplotlib example seems to suggest the direction, but I can't find how to do it using pandas plotting capabilities. And I am specially interested in learning how to do it with pandas because I am always working with dataframes. Any clues?

Accepted Answer

You can use the `style` kwarg to the `df.plot` command. From the docs:

style : list or dict

matplotlib line style per column

So, you could either just set one linestyle for all the lines, or a different one for each line.

e.g. this does something similar to what you asked for:

```
df.plot(style='.-')
```

To define a different marker and linestyle for each line, you can use a list:

```
df.plot(style=['+-','o-','.--','s:'])
```

You can also pass the `markevery` kwarg onto `matplotlib`'s plot command, to only draw markers at a given interval

```
df.plot(style='.-', markevery=5)
```

Line plot with data points in pandas

Solution

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