Mdates.DayLocator() adds a tick for each day. But if you wanted to add day ticks to a plot that did have minor ticks turned “on” you would use:Īx.t_minor_locator(mdates.DayLocator()) The Python matplotlib pyplot module has a function that will draw or generate a scatter plot, and the basic syntax to draw it is (x, y) x: list of arguments that represents the X-axis. Given we are using seaborn to customize the look of our plot, minor ticks are not rendered. fig plt.figure() ax fig.addsubplot(111) ax.plot(yourdates, yourdata) format your data to desired format. You can add minor ticks to your plot too. WeekdayLocator ( interval = 2 )) Scatterplot showing daily precipitation with the x-axis dates cleaned up and the format customized so they are easier to read. set_major_formatter ( date_form ) # Ensure ticks fall once every other week (interval=2)Īx. set ( xlabel = "Date", ylabel = "Precipitation (Inches)", title = "Daily Precipitation (inches) \n Boulder, Colorado 2013" ) # Define the date formatĭate_form = DateFormatter ( "%m/%d" ) ax. This applies the date format that you defined above to the plot.įig, ax = plt. Then you call the format that you defined using the set_major_formatter() method. ax.tmajorformatter(myFmt) This applies the date format that you defined above to. Then you call the format that you defined using the setmajorformatter() method. Change the axis limits with ax.setylim() and ax. Here you can customize the date to look like whatever format you want. 1.1 Formatting Options Set the title with ax.settitle() Set the axis labels with ax.setylabel() and ax. Here you can customize the date to look like whatever format you want. This a date format that is month/day so it will look like this: 10/05 which represents October 5th. This a date format that is month/day so it will look like this: 10/05 which represents October 5th. To implement the custom date, you then: define the date format: myFmt = DateFormatter("%m/%d") %Y - 4 digit year %y - 2 digit year %m - month %d - day Then you specify the format that you want to use for the date DateFormatter using the syntax: ("%m/%d") where each %m element represents a part of the date as follows: To begin you need to import DateFormatter from matplotlib. You can change the format of a date on a plot axis too in matplotlib using the DateFormatter module. show () Scatterplot showing daily precipitation in Boulder, Colorado. x: x y: y fmt: label: Matplotlib.pyplot import matplotlib.pyplot as plt import numpy as np x np.linspace(0, 2np.pi, 100) y np.sin(x) plt.plot(x, y, '-r', label'sin (x)') plt.xlabel('X') plt.ylabel('Y') plt.legend(loc'upper left') plt.title('A Sin Graph') plt. set_major_formatter ( DateFormatter ( "%m-%d" )) plt. set ( xlabel = "Date", ylabel = "Precipitation (Inches)", title = "Daily Precipitation \n Boulder, Colorado 2013" ) # Format the x axisĪx.
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