Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top level container for all plot elements.
matplotlib.figure.Figure.autofmt_xdate() function
The autofmt_xdate() method figure module of matplotlib library is used to rotate them and right align them.
Syntax: autofmt_xdate(self, bottom=0.2, rotation=30, ha=’right’, which=None)
Parameters: This accept the following parameters that are described below:
- bottom : This parameter is the bottom of the subplots for subplots_adjust().
- rotation : This parameter is the rotation of the xtick labels.
- ha : This parameter is the horizontal alignment of the xticklabels.
- which : This parameter selects which ticklabels to rotate.
Returns: This method does not return any value.
Below examples illustrate the matplotlib.figure.Figure.autofmt_xdate() function in matplotlib.figure:
Example 1:
# Implementation of matplotlib functionimport numpy as npimport matplotlib.pyplot as pltimport matplotlib.dates as mdatesimport matplotlib.cbook as cbook years = mdates.YearLocator() months = mdates.MonthLocator() years_fmt = mdates.DateFormatter('% Y') with cbook.get_sample_data('goog.npz') as datafile: data = np.load(datafile)['price_data'].view(np.recarray) fig, ax = plt.subplots()ax.plot('date', 'adj_close', data = data[:300], color ="green") ax.xaxis.set_major_locator(years) ax.format_ydata = lambda x: '$% 1.2f' % xax.grid(True) fig.autofmt_xdate() fig.suptitle('matplotlib.figure.Figure.autofmt_xdate() \function Example\n\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib functionimport datetimeimport matplotlib.pyplot as pltfrom matplotlib.dates import DayLocator, HourLocator, DateFormatter, drangeimport numpy as np date1 = datetime.datetime(2020, 4, 2)date2 = datetime.datetime(2020, 4, 6)delta = datetime.timedelta(hours = 6)dates = drange(date1, date2, delta) y = np.arange(len(dates)) fig, ax = plt.subplots()ax.plot_date(dates, y ** 2, 'g') ax.set_xlim(dates[0], dates[-1]) ax.xaxis.set_major_locator(DayLocator())ax.xaxis.set_minor_locator(HourLocator(range(0, 25, 6)))ax.xaxis.set_major_formatter(DateFormatter('% Y-% m-% d')) ax.fmt_xdata = DateFormatter('% Y-% m-% d % H:% M:% S')fig.autofmt_xdate() fig.suptitle('matplotlib.figure.Figure.autofmt_xdate() \function Example\n\n', fontweight ="bold") plt.show() |
Output:
