Matplotlib.dates.DateFormatter class in Python
Last Updated : 21 Apr, 2020
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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.Python3 1== 
Example 2:Python3 1== 
Matplotlib.dates.DateFormatter
Thematplotlib.dates.DateFormatter class is used to format a tick (in seconds since the epoch) with a string of strftime format. Its base class is matplotlib.ticker.Formatter.Syntax: class matplotlib.dates.DateFormatter(fmt, tz=None) Parameters:Example 1:
- fmt: It accepts a strftime format string for formatting and is a required argument.
- 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()
