Python support following Descriptive statistics function
Averages and measures of the central location
mean() | Arithmetic mean (“average”) of data. |
harmonic_mean() | Harmonic mean of data. |
median() | Median (middle value) of data. |
median_low() | Low median of data. |
median_high() | High median of data. |
median_grouped() | Median, or 50th percentile, of grouped data. |
mode() | Mode (most common value) of discrete data. |
Measures of spread
pstdev() | Population standard deviation of data. |
pvariance() | Population variance of data. |
stdev() | Sample standard deviation of data. |
variance() | Sample variance of data. |
Following example illustrated how to use them
Following is the explanation to the function
- Define a list called temperature that stores some numbers for testing purposes only.
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{f3}temperature = [10, 15, 30, 45,60,90];nn;
[/vtftable] - Import the statistic library. All descriptive statistics are stored in this library. Therefore, we need to import this library before we can access to those functions[vtftable ]
{f3}import statistics;nn;
[/vtftable] - Print the mean of the list[vtftable ]
{f3}print(“Mean:”, statistics.mean(temperature_list))nn;
[/vtftable] - Print the Median of the list[vtftable ]
{f3}print(“Median:”, statistics.median(temperature_list))nn;
[/vtftable] - Print the Mode of the list.
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try:{;n} print(“Mode:”, statistics.mode(temperature_list)){;n}except statistics.StatisticsError as e:{;n} print(“Mode Error:”,e);nn;
[/vtftable]Note: This time we have used the “Try … except” statement to handle error Statistics Error as the mode function is looking for the number with the highest frequency. However, it is very common that a list have more the one numbers with the highest frequency. Without the “try .. except” error handling statement, it will crash the program. - Print the Standard Deviation of the list[vtftable ]
{f3}print(“Standard Deviation:”, statistics.stdev(temperature_list));nn;
[/vtftable] - Print the Variance of the list[vtftable ]
{f3}print(“Variance:”,statistics.variance(temperature_list));nn;
[/vtftable]
Following is the result:
