#Pyplot scatter with dates as x axis how to
#Pyplot scatter with dates as x axis full

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()) Given we are using seaborn to customize the look of our plot, minor ticks are not rendered. You can add minor ticks to your plot too.

#Pyplot scatter with dates as x axis full

WeekdayLocator ( interval = 2 )) Scatterplot showing daily precipitation with the x-axis dates cleaned up and the format customized so they are easier to read. Full code: plt.figure(figsize(20,8)) plt.gca().tmajorformatter(mdates.DateFormatter('d-m-Y')) plt.gca().tmajorlocator(mdates.DayLocator()) plt.gca().tmajorlocator(mdates.DayLocator(interval120)) plt.gcf().autofmtxdate() plt.bar(df'Date', df'High') plt.xticks(rotation90) plt. 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) 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. Plot directly with, which uses matplotlib as the default backend. Here is a minimal example of how you might deal with this visualization. Then you call the format that you defined using the set_major_formatter() method. If you set the index to the datetime series by converting the dates with pd.todatetime (.), matplotlib will handle the x axis for you.

#Pyplot scatter with dates as x axis how to

Here you can customize the date to look like whatever format you want. How to Set X-Axis Values in Matplotlib You can use the following syntax to set the x-axis values for a plot in Matplotlib: specify x-axis locations xticks 2, 4, 6, 8, 10 specify x-axis labels xlabels 'A', 'B', 'C', 'D', 'E' add x-axis values to plot plt. 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. set_major_formatter ( DateFormatter ( '%m-%d' )) plt. Since the x-axis of the scatter plot will contain timestamp values, the lines List which currently contains string values, needs to be converted into a List.

set ( xlabel = 'Date', ylabel = 'Precipitation (Inches)', title = 'Daily Precipitation Boulder, Colorado 2013' ) # Format the x axisĪx.