I am trying to display a data frame of a time series with 2 columns. Here is an example of the data frame.
| index | Alive T-3 | Alive T-3 & T 3 |
|---|---|---|
| 12/31/2018 | 100 | 80 |
| 12/31/2019 | 120 | 90 |
| 12/31/2020 | 130 | 95 |
| 12/31/2021 | 140 | 98 |
| 12/31/2022 | 150 | 100 |
| 12/31/2023 | 160 | 123 |
This is what I am using to plot the chart
survived.plot.area(stacked=False)
The problem I am running into is that I have 621 entries in my time series and the plot end ups looking like that. Is there a way to have it more sparse? I don't really need the whole time series on the axes. Even years would be enough.
CodePudding user response：
as @It_is_Chris mentioned, the index should be a datetime.
survived.index = pd.to_datetime(survived.index) did the work
