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How can I plot two different spaced time series on one same plot in Python Matplotlib?
To plot two different spaced time series on one same plot using Matplotlib, we can take the following steps
Steps
Set the figure size and adjust the padding between and around the subplots.
Create x1, y1 and x2 and y2 data points.
Create a figure and a set of subplots.
Plot the data that contains dates, with (x1, y1) and (x2, y2) data points.
Set the major formatter of the X-axis ticklabels.
Rotate xtick label by 45 degrees using tick_params() method.
To display the figure, use Show() method.
Example
import matplotlib.pyplot as plt
from matplotlib.dates import date2num, DateFormatter
import datetime as dt
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True
x1 = [date2num(dt.datetime(2021, 1, 15, 1, 1, 1)), date2num(dt.datetime(2021, 1, 15, 9, 1, 1))]
y1 = [6, 2]
x2 = [ date2num(dt.datetime(2021, 1, 15, 2, 1, 1)),
date2num(dt.datetime(2021, 1, 15, 4, 1, 1)),
date2num(dt.datetime(2021, 1, 15, 6, 1, 1)),
date2num(dt.datetime(2021, 1, 15, 8, 1, 1)),
date2num(dt.datetime(2021, 1, 15, 10, 1, 1))
]
y2 = [3, 6, 5, 4, 1]
fig, ax = plt.subplots()
ax.plot_date(x1, y1, 'o--')
ax.plot_date(x2, y2, 'o:')
ax.xaxis.set_major_formatter(DateFormatter('%H:%M:%S'))
ax.tick_params(rotation=45)
plt.show()
Output
It will produce the following output −
Updated on: 09-Oct-2021
3K+ Views
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