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How to plot arbitrary markers on a Pandas data series using Matplotlib?
To plot arbitrary markers on a Pandas data series, we can use pyplot.plot() with markers.
Steps
- Set the figure size and adjust the padding between and around the subplots.
- Make a Pandas data series with axis labels (including timeseries).
- Plot the series index using plot() method with linestyle="dotted".
- Use tick_params() method to rotate overlapping labels.
- To display the figure, use show() method.
Example
import pandas as pd
from matplotlib import pyplot as plt
import numpy as np
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
ts = pd.Series(np.random.randn(10),
index=pd.date_range('2021-04-10', periods=10))
plt.plot(ts.index, ts, '*', ls='dotted', color='red')
plt.tick_params(rotation=45)
plt.show()Output
Updated on: 15-Jun-2021
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