![]() ![]() Time series with filled area and custom facetting in Matplotlib: Shows how to create a legend with both lines and patches and how to place it in an arbitrary position in a visualization with multiple panels.The Office Ratings with Python and Matplotlib: Shows how to mimic a legend from scratch when built-in functions aren't enough.Mario Kart 64 World Records with Python and Matplotlib: Showcases how to put both a legend and a colormap.Shows how to position a legend in a visualization with multiple panels and customize several aspects. Chris Claremont's X-Men comics exploration with streamcharts in Matplotlib: One of the most beautiful charts in this collection.Radar chart with Matplotlib: Shows how to manually overlay lines and dots in the same handle.Circular barplot with Matplotlib: Actually not a legend, but a colorbar with discrete scales that looks very cool.This isn't utterly important though, and I'm just trying to learn using python, and the actual work has been done in excel.Wouldn't it be really cool to see how these things are used in real-life examples? Of course it would! The following is a list of highly customized visualizations made in Matplotlib that contain beautiful legends made with the tricks shown above. I have come across a few other posts related to this issue, but not seen one that specifically addresses the renaming of individual labels. This is the error I get when using the above code.ĪttributeError: 'Series' object has no attribute 'set_ylabel' I have tried to rename the x-axis labels using the code below. Pd.set_option('display.mpl_style', 'default')įixed_data = pd.read_csv('audit-rep.csv',sep=',',encoding='latin1',index_col='Index', parse_dates=,dayfirst=False) This is the code I have used, and except for the label names, I am happy with the result. Instead of having these verbose reasons though, I would like to rename the X-Axis labels to just numbers or alphabets so that the graph reads somewhat like this: Vendor Registration not on record.another 300 words - 9.No contract with vendor.another 300 words - 14. ![]() Not approved by regional committee.another 300 words - 17.The problem I am facing is renaming the X-Axis labels.Įssentially, the chart is trying to plot a count of different types of Audit Violations, but has really long descriptions of the said violations. I have a CSV file that I am trying to read using Python, and looking to come up with charts. I'm running my code on iPython Notebooks, on a Macbook Pro Yosemite 10.10.4 #note names of functions are slightly different The first way is to use the ax.set () function, which uses the following syntax: ax.set(xlabel'x-axis label', ylabel'y-axis label') The second way is to use matplotlib functions, which use the following syntax: plt.xlabel('x-axis label') plt. In other words, this plotted (1, 2), (3, 4), (5, 6), (7, 8), and (9, 10). There are two ways to change the axis labels on a seaborn plot. One downside is that I don't know how to set xticklabels in this case: viol_ot(kind='bar') plt.plot(x, y) plt.show() If you run this code, you’ll get a simple plot like this without any titles or labels: Naturally, this works because Matplotlib allows us to pass it two sequences as the x- and y-coordinates. ![]() Or, you can just plot and use different functions. Parameters namelabel or list of labels Name (s) to set. Length of names must match number of levels in MultiIndex. I'm not the developer of this software and I don't have access to the database, but as you can see in the print screen below, users have access to the gridxlayoutxml code, to manipulate which columns you want to show on the work screen. One option would be using subplot: figure, ax = pl.subplots(1,1) pandas 2.0.0 documentation Index.rename(name, inplaceFalse) source Alter Index or MultiIndex name. To be succinct, I need to rename the columns that appear on the work screen. Methods such as set_ylabel, set_title are for plot object. If you assign the plot Axes object to a variable name (here I've called it viol_plot), then you can perform action on that Axes object (you are currently trying to set the labels and ticks on the Series, not the plot): viol_plot = viol_ot(kind='bar') ![]()
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