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Matplotlib.dates.DateFormatter class in Python - GeeksforGeeks

Last Updated : 12 Jul, 2025

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.

The

class is used to format a tick (in seconds since the epoch) with a string of strftime format. Its base class is

.

Syntax: class matplotlib.dates.DateFormatter(fmt, tz=None) Parameters:

1. fmt: It accepts a strftime format string for formatting and is a required argument.
2. tz: It holds information regarding the timezone. If set to none it ignores the timezone information while formatting of the date string.

import numpy
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import pandas

 
total_bars = 25
numpy.random.seed(total_bars)
 
dates = pandas.date_range('3/4/2020', 
                          periods=total_bars,
                          freq='m')

diff = pandas.DataFrame(
    data=numpy.random.randn(total_bars), 
    index=dates,
    columns=['A']
)
 
figure, axes = plt.subplots(figsize=(10, 6))

axes.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))

axes.bar(diff.index,
         diff['A'], 
         width=25, 
         align='center')

import matplotlib
import matplotlib.pyplot as plt
from datetime import datetime

origin = ['2020-02-05 17:17:55',
          '2020-02-05 17:17:51', 
          '2020-02-05 17:17:49']

a = [datetime.strptime(d, '%Y-%m-%d %H:%M:%S') for d in origin]

b = ['35.764299', '20.3008', '36.94704']

x = matplotlib.dates.date2num(a)
formatter = matplotlib.dates.DateFormatter('%H:%M:%S')

figure = plt.figure()
axes = figure.add_subplot(1, 1, 1)

axes.xaxis.set_major_formatter(formatter)
plt.setp(axes.get_xticklabels(), rotation = 15)

axes.plot(x, b)
plt.show()

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