Description
Problem Description
Write a program that reads in a year in the interval 1956 through 2015 inclusive (you may assume
this input is correct) and finds the data for every month in this year to print out the following
information:
Top 3 months and associated values for:
– highest maximum temperature (EMXT)
– lowest minimum temperature (EMNT)
– highest number of days with maximum temperature above 90 (DT90)
– highest number of days with maximum temperature below 32 (DX32)
– highest total precipitation (TPCP)
– lowest total precipitation (TPCP)
– highest snow depth (TSNW)
– lowest snow depth (TSNW)
All values should be printed as floats with one decimal point {:.1f}.
If there are three or fewer valid values, then print that there is not enough data. (For example,
snow depth in 1956.)
Ties should be broken using the month. For maximum values such as highest maximum
temperature, the tie-breaking month will be sorted in descending order from 12 down to 1
and for minimum values such as lowest minimum temperature the tie-breaking month will be
sorted in ascending order from 1 up to 12. Note that if you store your value/month pairs as
a list of tuples or a list of lists, this is the default sort behavior and you will not have to do
any additional work to get the sort order correct. See the example for snow depth in 2014 at
the end of this write up for an example of the expected ordering.
Average of mean temperature across different months in the year (MNTM)
– Overall average (average of all months for the chosen year for MNTM)
– Average for the first 6 months of the year (MNTM)
– Average for the last 6 months of the year (MNTM)
If there are three or fewer valid data values for any one of these then print Not enough data.
A histogram of overall average temperatures in 3 month intervals, i.e. months 1-3, 4-6, 7-9,
and 10-12. If there are fewer than two months in an interval, then print Not enough data.
A histogram prints a single * for each value in the average, excluding partial values. For
example, 54 *’s will be output for an average temperature of 54.7.
Expected output
Below you can see the expected functioning of this program with the file we gave you (note: we
might change the file in the homework submission server):
For the year 2014
Enter a year (1956-2015) => 2014
2014
Temperatures
———————————————————————-
Highest max value => 7: 92.0, 6: 91.0, 9: 90.0
Lowest min value => 1: -9.0, 2: -7.0, 3: 1.0
Highest days with max >= 90 => 7: 3.0, 9: 2.0, 6: 1.0
Highest days with max <= 32 => 2: 20.0, 1: 18.0, 3: 9.0
Precipitation
———————————————————————-
Highest total => 7: 5.8, 6: 5.6, 12: 5.0
Lowest total => 9: 0.9, 4: 1.9, 11: 2.1
Highest snow depth => 2: 24.6, 1: 12.6, 12: 5.8
Lowest snow depth => 5: 0.0, 6: 0.0, 7: 0.0
Average temperatures
———————————————————————-
Overall: 48.3
First 6 months: 40.9
Last 6 months: 55.7
Temperature histograms
———————————————————————-
01-03: ***********************
04-06: **********************************************************
07-09: *********************************************************************
10-12: ******************************************
For the year 1956
Enter a year (1956-2015) => 1956
1956
Temperatures
———————————————————————-
Highest max value => 8: 92.0, 9: 88.0, 10: 83.0
Lowest min value => 12: 5.0, 11: 15.0, 10: 27.0
Highest days with max >= 90 => 8: 3.0, 12: 0.0, 11: 0.0
Highest days with max <= 32 => 12: 4.0, 11: 2.0, 10: 0.0
Precipitation
———————————————————————-
Highest total => 9: 5.0, 11: 2.4, 12: 2.3
Lowest total => 8: 1.1, 10: 1.4, 12: 2.3
Highest snow depth => Not enough data
Lowest snow depth => Not enough data
Average temperatures
———————————————————————-
Overall: 42.3
First 6 months: Not enough data
Last 6 months: 42.3
Temperature histograms
———————————————————————-
01-03: Not enough data
04-06: Not enough data
07-09: ******************************************
10-12: *****************************************
Hints: (1) There are 70 ‘-‘s in every dashed line. (2) Investigate use of the rjust string method
to print things like the 01 month string.
Suggestions
It appears that there are many things to compute, but it is actually the same thing for many
different keys of the same list of dictionaries. The trick is to figure out what functions are needed
and how they can be used over and over again to do closely related things by changing the function
call parameters. You might write functions to do a number of things:
Gather values from data for a key and a year. (Note that data should be passed as a
parameter.) Return these values in a list or a dictionary
Compute various statistics from these gathered values.
Compute and output average temperatures. Can this be called three times?
Compute and output a histogram. Can this be called four times?
Anything else? Some combination of the above?
If you are thoughtful and thorough in thinking through your use of functions you might find yourself
only writing 100 lines of Python code or even fewer to solve this problem.
