问题
I made a list
> Book_of_Death_Count
1.0 49
2.0 73
3.0 97
4.0 27
5.0 61
Name: Book of Death, dtype: int64*
When I type
a = Book_of_Death_Count.plot(),
b = plt.plot(Book_of_Death_Count)
The result of the two is the same, but:
a.set_xticks(np.arange(1,6))works;b.set_xticks(np.arange(1,6))doesn't work.
What's the difference of these two code?
回答1:
your "list" is a pandas DataFrame object. When you call Book_of_Death_Count.plot() you are using the function DataFrame.plot(), which returns (in most cases) an Axes object. Therefore a is of Type Axes and you can use it to access all the methods of that class.
When you use plt.plot(), the return values is a list of Line2D objects. If you need to access the Axes object (for instance to modify the ticks), use a = plt.gca().
回答2:
Assuming a is a pandas Series: whenever you call my_pandas_series.plot(), the return value is an Axes instance, an object which represents you plot region as a whole. This object has a set_xticks method for... well, setting the position of the x ticks in the plot.
On the other hand, calling plt.plot() returns a list of Line2D objects. Neither the list nor the Line2D objects inside it contains a set_xticks method.
来源：https://stackoverflow.com/questions/60227407/whats-the-difference-between-plt-plot-object-plot