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2 sty 1991 · You can do this more simply using plot() instead of plot_date(). First, convert your strings to instances of Python datetime.date: import datetime as dt dates = ['01/02/1991','01/03/1991','01/04/1991'] x = [dt.datetime.strptime(d,'%m/%d/%Y').date() for d in dates] y = range(len(x)) # many thanks to Kyss Tao for setting me straight here Then plot:
2 kwi 2020 · The plot_date() function in pyplot module of matplotlib library is used to plot with data that contains dates. Syntax: matplotlib.pyplot.plot_date(x, y, fmt='o', tz=None, xdate=True, ydate=False, hold=None, data=None, **kwargs)
21 wrz 2021 · This Python tutorial explains everything about Matplotlib plot_date, Matplotlib plot_date multiple line, Matplotlib plot_date date on x-axis, Matplotlib plot_date xticks, etc.
7 mar 2024 · This article discusses five methods to effectively plot dates on the x-axis using Python’s Matplotlib library. Imagine you have a list of dates and corresponding values. The goal is to visually represent this data on a plot where the x-axis clearly delineates the time interval.
Matplotlib provides sophisticated date plotting capabilities, standing on the shoulders of python datetime and the add-on module dateutil. By default, Matplotlib uses the units machinery described in units to convert datetime.datetime, and numpy.datetime64 objects when plotted on an x- or y-axis.
For an overview of the plotting methods we provide, see Plot types. This page contains example plots. Click on any image to see the full image and source code. For longer tutorials, see our tutorials page. You can also find external resources and a FAQ in our user guide.
11 sie 2020 · import matplotlib.dates as mdates myFmt = mdates.DateFormatter('%H:%M:%S') # Check https://strftime.org/ for formatters ax.xaxis.set_major_formatter(myFmt) Take a look at this post for more details. As an example, I plot bidopen with respect to timestamp:
