print_linear_hist - IndexError: list assignment index out of range, if BPF_HISTOGRAM contains Value>1024

Well, I am doing Latency measurements based on BPF_HISTOGRAM.
In my special collection, the (linear) history collection had the contents:
Value Number_of_Occurences;
12 14407; 24 2232; 42 1245; 22 903;
13 50; 14 31; 60 78; 52 2;
18 43; 74 4; 47 11; 30 6424;
**1435 1;**
As a result, the printing routine "print_linear_hist" fails, due to the fact, that the "value" (bucket) of **1435** is **exceeding the storage "vals[]"** in "https://github.com/iovisor/bcc/blob/master/src/python/bcc/table.py", line 438 defined in the
function "def print_linear_hist(self, val_type="value", section_header="Bucket ptr","

The issue itself resides in line 441: "vals[k.value]=v.value"

else:
vals = [0] * linear_index_max
for k, v in self.items():
try:
**vals[k.value] = v.value** ###< Here the index is exceeded, the
except IndexError:
# Improve error text. If the limit proves a nusiance, this

As a quick fix, I would propose to include a check - e.g. "k.value >= linear_index_max" -
and to collect all the rest exceeding the limit is collected to the last bucket of the histogram.
E.g.
if (k.value>=linear_index_max):
vals[linear_index_max-1]+= v.value
else:
vals[k.value]=v.value

Start in src/python/bcc/table.py at print_linear_hist, especially the vals[k.value] assignment and its existing IndexError handling. Reproduce the failure with a histogram bucket above linear_index_max, then verify that oversized values no longer raise an IndexError and are included in the final bucket as proposed.

Written by the indexing model from the issue text.