Use index in pandas to plot data
data-visualization, pandas, python
Solution
You can use `reset_index` to turn the index back into a column:
monthly_mean.reset_index().plot(x='index', y='A')
Look at `monthly_mean.reset_index()` by itself- the date is no longer in the index, but is a column in the dataframe, which is now just indexed by integers. If you look at the documentation for `reset_index`, you can get a bit more control over the process, including assigning sensible names to the index.
Problem
I have a pandas-Dataframe and use `resample()` to calculate means (e.g. daily or monthly means). Here is a small example. ``` import pandas as pd import numpy as np dates = pd.date_range('1/1/2000', periods=100) df = pd.DataFrame(np.random.randn(100, 1), index=dates, columns=['A']) A 2000-01-01 -1.210683 2000-01-02 2.242549 2000-01-03 0.801811 2000-01-04 2.353149 2000-01-05 0.359541 monthly_mean = df.resample('M').mean() A 2000-01-31 -0.048088 2000-02-29 -0.094143 2000-03-31 0.126364 2000-04-30 -0.413753 ``` How do I plot the `monthly_mean` now? How do I manage to use the index of my new created DataFrame `monthly_mean` as the x-axis?