I have a histogram that I am plotting from a single array.
SLT=[ 10.6, 10.5, 10.3, 5.3, 5.3, 5. , 5. , 9.3, 3. ,
8.5, 1.1, 6.4, 23.2, 4.4, 21.2, 2.4, 2.3, 2.3,
2.2, 2.2, 2.1, 2. , 2. , 1.9, 13.9, 13.8, 13.8,
13.7, 13.7, 13.6, 13.6, 13.6, 13.6, 18.8, 11.5, 11.5,
11.4, 11.4, 11.4, 11.3, 11.2, 11.1, 11. , 10.9, 10.7,
10.5, 10.4, 10.4, 10.3, 10.2, 10.1, 22.1, 22. , 22. ,
22. , 21.9, 21.9, 21.8, 21.8, 21.7, 21.7, 21.6, 17. ,
17. , 16.9, 17. , 21.1, 16.1, 16.1, 16.1, 16.1, 16. ,
15.8, 20.6, 14.2, 19.8, 12.2, 17.5, 12.9, 18.6, 12.6,
18.4, 13.7, 13.7, 13.6]
I plot a histogram using the following:
fig=plt.figure()
ax=fig.add_subplot(111)
numBins=24
ax.hist(SLT,numBins,color='k',alpha=0.8)
remove_border(left=False,bottom=True)
plt.xlabel('Saturn Local Time')
plt.ylabel('Frequency')
plt.title('Cassini Titan Flybys between 2004 - 2014, Distribution of SLT Frequency')
plt.ylim([0,13])
plt.xlim([1,24])
plt.minorticks_on()
plt.grid(b=True,which='major',color='k',alpha=0.2,linestyle='dotted')
plt.grid(b=False,which='minor',color='k',alpha=0.2,linestyle='dotted')
plt.show()
This yields: https://i.stack.imgur.com/VVdsn.jpg
How can I put a label at the top of each bin which shows the count of that bin? Is there a built in function/workaround or would i need to manually work it out and plot as a textbook for instance?
Many thanks!
Answer involved both suggestions in comments:
Overall code:
fig=plt.figure()
ax=fig.add_subplot(111)
numBins=24
counts,bins,patches=ax.hist(SLT,numBins,color='k',alpha=0.8)
remove_border(left=False,bottom=True)
plt.xlabel('Saturn Local Time')
plt.ylabel('Frequency')
plt.title('Cassini Titan Flybys between 2004 - 2014, Distribution of SLT Frequency')
plt.ylim([0,13])
plt.xlim([1,24])
plt.minorticks_on()
plt.grid(b=True,which='major',color='k',alpha=0.2,linestyle='dotted')
plt.grid(b=False,which='minor',color='k',alpha=0.2,linestyle='dotted')
bin_centers = 0.5 * diff(bins) + bins[:-1]
for count, x in zip(counts, bin_centers):
# Label the raw counts
ax.annotate(str(count), xy=(x, 0), xycoords=('data', 'axes fraction'),
xytext=(0, -18), textcoords='offset points', va='top', ha='center')
def autolabel(rects):
# attach some text labels
for ii,rect in enumerate(rects):
height = rect.get_height()
plt.text(rect.get_x()+rect.get_width()/2., 1.02*height, counts[ii],
ha='center', va='bottom')
autolabel(patches)
plt.show()
