Explicitly set the whisker lengths of a box in boxplot
Question:
I would like to draw a boxplot figure using matplotlib.
This is my current figure:
And this is the code to generate the figure:
pt = plt.boxplot(all_data, sym='+')
plt.yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0], ['0', '20%', '40%', '60%', '80%', '100%'])
plt.xticks([y + 1 for y in range(len(all_data))], ['WMC', 'DIT', 'CBO', 'RFC', 'LCOM', 'Ca', 'NPM'])
mean = []
for line in pt['medians']:
x, y = line.get_xydata()[1] # top of median line
plt.text(x, y, '%.1f' % x,
horizontalalignment='center') # draw above, centered
plt.savefig("boxplot1.pdf")
A box in a boxplot shows the 1st, 2nd and 3rd quartiles (Q1, the median and Q3) of a dataset. For each box, there is a line (which is also called a whisker and whose length is 1.5*IQR (inter quartile range) by default). So basically what I am looking for is instead of using the default value, explicitly set the lower and upper limits (or the whisker length) to a certain value I specify.
Could anyone shed some lights on this?
Answers:
To change the whiskers of the boxplot, use the whis argument of boxplot.
whis : float, sequence, or string (default = 1.5)
As a float, determines the reach of the whiskers to the beyond the first and third quartiles. In other words, where IQR is the interquartile range (Q3-Q1), the upper whisker will extend to last datum less than Q3 + whis*IQR). Similarly, the lower whisker will extend to the first datum greater than Q1 - whis*IQR. Beyond the whiskers, data are considered outliers and are plotted as individual points. Set this to an unreasonably high value to force the whiskers to show the min and max values. Alternatively, set this to an ascending sequence of percentile (e.g., [5, 95]) to set the whiskers at specific percentiles of the data. Finally, whis can be the string ‘range’ to force the whiskers to the min and max of the data.
I would like to draw a boxplot figure using matplotlib.
This is my current figure:
And this is the code to generate the figure:
pt = plt.boxplot(all_data, sym='+')
plt.yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0], ['0', '20%', '40%', '60%', '80%', '100%'])
plt.xticks([y + 1 for y in range(len(all_data))], ['WMC', 'DIT', 'CBO', 'RFC', 'LCOM', 'Ca', 'NPM'])
mean = []
for line in pt['medians']:
x, y = line.get_xydata()[1] # top of median line
plt.text(x, y, '%.1f' % x,
horizontalalignment='center') # draw above, centered
plt.savefig("boxplot1.pdf")
A box in a boxplot shows the 1st, 2nd and 3rd quartiles (Q1, the median and Q3) of a dataset. For each box, there is a line (which is also called a whisker and whose length is 1.5*IQR (inter quartile range) by default). So basically what I am looking for is instead of using the default value, explicitly set the lower and upper limits (or the whisker length) to a certain value I specify.
Could anyone shed some lights on this?
To change the whiskers of the boxplot, use the whis argument of boxplot.
whis: float, sequence, or string (default =1.5)
As a float, determines the reach of the whiskers to the beyond the first and third quartiles. In other words, where IQR is the interquartile range (Q3-Q1), the upper whisker will extend to last datum less thanQ3 + whis*IQR). Similarly, the lower whisker will extend to the first datum greater thanQ1 - whis*IQR. Beyond the whiskers, data are considered outliers and are plotted as individual points. Set this to an unreasonably high value to force the whiskers to show the min and max values. Alternatively, set this to an ascending sequence of percentile (e.g.,[5, 95]) to set the whiskers at specific percentiles of the data. Finally, whis can be the string ‘range’ to force the whiskers to the min and max of the data.