To plot a Pandas multi-index data frame with all xticks, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create index value with 1000 smaples data.
- Make a one-dimensional ndarray with axis labels.
- Get the mean value of the series.
- Plot g dataframe.
- Set the ticks and ticklabel on the current axes
- To display the figure, use show() method.
Example
import numpy as np import matplotlib.pyplot as plt import pandas as pd plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True idx = pd.date_range("2020-01-01", periods=1000) val = np.random.rand(1000) s = pd.Series(val, idx) g = s.groupby([s.index.year, s.index.month]).mean() ax = g.plot() ax.set_xticks(range(len(g))) ax.set_xticklabels(["%s-%02d" % item for item in g.index.tolist()], rotation=45, ha='center') plt.show()