![]() If this is still too cramped you can also change the date format to m/d/y and also possibly skip every Nth xticklabel. ![]() Plt.xticks(rotation=30) # rotate the xticklabels by 30 deg # this ensures ticklabels align with the corresponding data pointĪx.set_xticklabels(dates) # set the ticklabels to the list of datetimesĪx.legend(loc=4, fontsize=10) # make a legend and place in bottom-right (loc=4) ![]() # R is the number of rows in the data (i.e. # set the number of ticks on x-axis to be a list # plot 'ABC' column, using red (r) line and label 'ABC' which is used in the legend if we wanted to break out individual plots for eachĭata source we could use subplots(n, m, o) where n,m,o are ints definingįigure is the window our plot will reside inĪx is used for nearly everything else: plot itself, labels, ticks, We want to plot multiple data columns on one plot, so we use the layout > sum( )īelow we use list comprehension to map date strings to datetimes in theĭates = List comprehension: a way to create a listĬreate a list of 1/n! for n from 0 to 99 and sum the values: > print dt.datetime.strptime(s, '%Y-%m-%d').date() > print dt.datetime.strptime(s, '%Y-%m-%d') Strptime(date_string, format) method is used to read in a string (which we know is # the sample data provided in the question was made into a csv and read in using pandasĭata = pd.read_csv('Workbook1.csv', sep=',')ĭatetime is a python module to work with dates, time, timezones, time differences Here is a plot just showing dates: import pandas as pd I made a small csv from the sample data you posted. I'll show two examples to answer both questions. Greene of the University of Texas at Austin.EDIT: all comments in code have been added for clarification. The function and supporting documentation were written by Chad A. This function is part of the Climate Data Toolbox for Matlab. Set(gca, 'xcolor',rgb( 'bluegreen'), 'color', 'none'. Ntitle(panel, 'o-', 'color',rgb( 'bluegreen'))Īxis tight ij % removes whitespace and flips axes Same as above, but this time make the axis colors match the line colors: figure Plot(rand*30*rand(25,1)) % plots random dataĮnd % Put every other axis on the right hand side: To prevent overlapping y axes, you can either add some space between the axes with the 'vpad' option, or you can put every other y axis on the right hand side like this: % labels for each panel: Below, we use the space that would be occupied by subplot(2,2,2) to create two subsubplots, specified by subsubplot(2,2,2,2,1,1) and subsubplot(2,2,2,2,2,2): figureĪxis tight % * * * TOP RIGHT SUBSUBPLOTS: * * * % Top subsublot: The subsubplot function is designed to work within Matlab's built-in subplot structure. Below we're specify that axes should be separated by 5 percent of the figure's height: figure To add a little padding between the two axes, specify 'vpad'. Here are two subsubplots stacked atop each other: figureīy default, subsubplot places axes directly adjacent to each other. |h = subsubplot(.) returns a handle h of the axes created by subsubplot. Setting it to 0.05, for example, separates axes by 5% of the figure width. Subsubplot(.,'hpad',hspace) specifies the amount of horizontal spacing between each subplot axis, in normalized figure units on the scale of 0 to 1. Setting it to 0.05, for example, separates axes by 5% of the figure height. Subsubplot(.,'vpad',vspace) specifies the amount of vertical spacing between each subsubplot axis, in normalized figure units on the scale of 0 to 1. Subsubplot(m,n,p,mm,nn,pp) As above, but in this case the subplot(m,n,p) is further divided into an mm-by-nn grid, and subsubplot creates a new set of axes in the location specified by pp. This syntax effectively fills the area that would be occupied by subplot(1,1,1). The first subplot is the first column of the first row, the second subplot is the second column of the first row, and so on. Subsubplot(mm,nn,pp) divides the current figure into an mm-by-nn grid and creates axes in the position specified by pp.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |