使用 seaborn 制作时间序列图而不是 pandas.dataframe.plot

Question

I have the foll. dataframe:

df
          A         R
0    0.000000     0.000000
1  176.069152   544.511391
2  352.338584   965.989678
3  528.824516  1387.844940
4  705.510351  1809.956118

I can plot it like this:

df.plot()

How can I do this in seaborn? I am trying this, but it does not work. Please note that I do not want to explicitly specify column names, since the number of columns is much larger than this toy example.

import seaborn as sns
sns.tsplot(data=df, time=df.index, value=df)

Answer 1

If I understood it right, my recommendation is to do it with matplotlib like this:

import matplotlib.pyplot as plt
x = df.index

fig, ax = plt.subplots()
for name in df.columns.values:
    ax.plot(x, df[name], label=name)
ax.legend()
plt.show()