# How can I plot two different spaced time series on one same plot in Python Matplotlib?

MatplotlibPythonData Visualization

#### Python Data Science basics with Numpy, Pandas and Matplotlib

Most Popular

63 Lectures 6 hours

#### Data Visualization using MatPlotLib & Seaborn

11 Lectures 4 hours

#### MatPlotLib with Python

9 Lectures 2.5 hours

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 − 