I have these data:

If I try :

plt.plot(dates[:, 0], data),

I am receiving:

You can see the values on x axis are totally different from the data.

I receive the same plot with seaborn:

sns.lineplot(x=dates[:, 0], 
             y=data)

I want to use seaborn and have the correct x axis dates.

CodePudding user response：

The first command is iterating through the columns of dates and plotting them against the values in data. However, in many cases, there is no variation in the columns of dates, i.e., it's only 2016 or 2017 (plt.plot(dates[:, 4], data). Only when there's both values a line can be traced (plt.plot(dates[:, 5], data). By default, the matplotlib style doesn't have markers, so the graph looks empty (you can add marker='o' to your plot command to show this). Also, because there's no variation in x, matplotlib tries to give the graphs some limits to x, which ultimately end up being different from the limits when x varied.

If you want all column graphs to have the same limits, you can specify that with plt.xlim(left=2015.7, right=2017.3) after the plot of each individual column. Here, I put a 0.3 buffer to the left and right, but you can change this to whatever value looks better.