Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack.
matplotlib.dates.drange()
The matplotlib.dates.drange() function returns a sequence of equally spaced Matplotlib dates. The date range starts from ‘dstart’ and go up to, but not including ‘dend’. The space between each date is called delta.
Syntax: matplotlib.dates.drange(dstart, dend, delta)
Parameters:
- dstart: Starting point of the date range and is a python’s datetime date.
- dend: Ending point of the date range and is a python’s datetime date.
- delta: It represents the spacing between each dates and belongs to python’s datetime.timedelta.
Returns: It returns a numpy array which is a list of floats representing Matplotlib dates.
Example 1:
import datetime import matplotlib.pyplot as plt from matplotlib.dates import DayLocator, HourLocator, DateFormatter, drange import numpy as np date_1 = datetime.datetime( 2020, 3, 2) date_2 = datetime.datetime( 2020, 10, 10) time_delta = datetime.timedelta(days = 28) dates = drange(date_1, date_2, time_delta) y_axis = np.arange( len(dates) ) fig, ax = plt.subplots() ax.plot_date(dates, y_axis * y_axis) ax.xaxis.set_major_formatter( DateFormatter('% Y-% m') ) plt.show() |
Output:
Example 2:
import datetime import matplotlib.pyplot as plt import matplotlib.dates as mdates date = [datetime.datetime(2020, 8, 24, 0, 0), datetime.datetime(2020, 8, 23, 0, 0), datetime.datetime(2020, 8, 22, 0, 0), datetime.datetime(2020, 8, 21, 0, 0), datetime.datetime(2020, 8, 18, 0, 0), datetime.datetime(2020, 8, 17, 0, 0), datetime.datetime(2020, 8, 16, 0, 0), datetime.datetime(2020, 8, 15, 0, 0), datetime.datetime(2020, 8, 14, 0, 0), datetime.datetime(2020, 8, 11, 0, 0), datetime.datetime(2020, 8, 10, 0, 0), datetime.datetime(2020, 8, 9, 0, 0), datetime.datetime(2020, 8, 8, 0, 0), datetime.datetime(2020, 8, 7, 0, 0), datetime.datetime(2020, 8, 4, 0, 0), datetime.datetime(2020, 8, 3, 0, 0), datetime.datetime(2020, 8, 2, 0, 0), datetime.datetime(2020, 8, 1, 0, 0)] # is a datetime.datetime object # according to type start_date = date[0] # is a datetime.datetime object according # to type end_date = date[-1] delta = datetime.timedelta(days = 5) # the drange function dates = mdates.drange(start_date, end_date, -delta) y_data = range(len(dates)) plt.plot(dates, y_data) |
Output:
