I have dataframe like this：

```
import pandas as pd

dataA = [["2005-1-20", "9:35", 5], ["2005-1-20", "9:40", 8], ["2005-1-20", "9:45", 7],
["2005-1-20","9:50", 4], ["2005-1-20", "10:25", 2], ["2005-1-20", "10:30", 2],
["2005-1-20", "10:35", 15], ["2005-1-20", "10:40", 6], ["2005-1-20", "10:45", 1], 
["2005-1-20", "10:50", 11], ["2005-1-20", "10:55", 12], ["2005-1-20", "11:00", 7], 
["2005-1-21", "9:35", 2], ["2005-1-21", "9:40", 3], ["2005-1-21", "9:45", 4],
["2005-1-21","9:50", 4], ["2005-1-21", "10:25", 5], ["2005-1-21", "10:30", 9],
["2005-1-21", "10:35", 4], ["2005-1-21", "10:40", 3], ["2005-1-21", "10:45", 5], 
["2005-1-21", "10:50", 4], ["2005-1-21", "10:55", 4], ["2005-1-21", "11:00", 8],
["2005-1-22", "9:35", 12], ["2005-1-22", "9:40", 13], ["2005-1-22", "9:45", 14],
["2005-1-22","9:50", 14], ["2005-1-22", "10:25", 15], ["2005-1-22", "10:30",19],
["2005-1-22", "10:35", 14], ["2005-1-22", "10:40", 13], ["2005-1-22", "10:45", 15], 
["2005-1-22", "10:50", 14], ["2005-1-22", "10:55", 14], ["2005-1-22", "11:00", 18]]

df = pd.DataFrame(data = dataA, columns=["date", "min", "val"])

df['min']=pd.to_datetime(df['min'],format= '%H:%M' ).dt.time

```

When I use plot to draw a time series line chart, because there is no data from 9:50-10:20, the line is not continuous：

```
df = df.pivot('min','date','val')
df.plot()

```

Image like this：
[![pic](https://i.stack.imgur.com/SWyOm.png)](https://i.stack.imgur.com/SWyOm.png)

How to ignore the 9:50-10:20 time period and draw a continuous line？