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Sample variance and Sample standard deviation. (#2310)
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parent
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commit
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@ -1,13 +1,18 @@
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use super::variance::variance;
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use crate::commands::math::utils::run_with_function;
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use super::variance::compute_variance as variance;
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use crate::commands::WholeStreamCommand;
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use crate::prelude::*;
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use nu_errors::ShellError;
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use nu_protocol::{Primitive, Signature, UntaggedValue, Value};
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use nu_protocol::{Dictionary, Primitive, ReturnSuccess, Signature, UntaggedValue, Value};
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use nu_source::Tagged;
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use std::str::FromStr;
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pub struct SubCommand;
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#[derive(Deserialize)]
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struct Arguments {
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sample: Tagged<bool>,
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}
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#[async_trait]
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impl WholeStreamCommand for SubCommand {
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fn name(&self) -> &str {
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@ -15,7 +20,11 @@ impl WholeStreamCommand for SubCommand {
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}
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fn signature(&self) -> Signature {
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Signature::build("math stddev")
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Signature::build("math stddev").switch(
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"sample",
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"calculate sample standard deviation",
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Some('s'),
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)
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}
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fn usage(&self) -> &str {
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@ -27,20 +36,69 @@ impl WholeStreamCommand for SubCommand {
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args: CommandArgs,
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registry: &CommandRegistry,
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) -> Result<OutputStream, ShellError> {
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run_with_function(
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RunnableContext {
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input: args.input,
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registry: registry.clone(),
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shell_manager: args.shell_manager,
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host: args.host,
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ctrl_c: args.ctrl_c,
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current_errors: args.current_errors,
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name: args.call_info.name_tag,
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raw_input: args.raw_input,
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},
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stddev,
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)
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.await
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let name = args.call_info.name_tag.clone();
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let (Arguments { sample }, mut input) = args.process(®istry).await?;
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let values: Vec<Value> = input.drain_vec().await;
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let n = if let Tagged { item: true, .. } = sample {
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values.len() - 1
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} else {
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values.len()
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};
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let res = if values.iter().all(|v| v.is_primitive()) {
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compute_stddev(&values, n, &name)
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} else {
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// If we are not dealing with Primitives, then perhaps we are dealing with a table
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// Create a key for each column name
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let mut column_values = IndexMap::new();
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for value in values {
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if let UntaggedValue::Row(row_dict) = &value.value {
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for (key, value) in row_dict.entries.iter() {
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column_values
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.entry(key.clone())
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.and_modify(|v: &mut Vec<Value>| v.push(value.clone()))
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.or_insert(vec![value.clone()]);
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}
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}
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}
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// The mathematical function operates over the columns of the table
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let mut column_totals = IndexMap::new();
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for (col_name, col_vals) in column_values {
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if let Ok(out) = compute_stddev(&col_vals, n, &name) {
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column_totals.insert(col_name, out);
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}
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}
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if column_totals.keys().len() == 0 {
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return Err(ShellError::labeled_error(
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"Attempted to compute values that can't be operated on",
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"value appears here",
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name.span,
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));
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}
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Ok(UntaggedValue::Row(Dictionary {
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entries: column_totals,
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})
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.into_untagged_value())
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};
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match res {
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Ok(v) => {
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if v.value.is_table() {
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Ok(OutputStream::from(
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v.table_entries()
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.map(|v| ReturnSuccess::value(v.clone()))
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.collect::<Vec<_>>(),
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))
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} else {
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Ok(OutputStream::one(ReturnSuccess::value(v)))
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}
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}
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Err(e) => Err(e),
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}
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}
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fn examples(&self) -> Vec<Example> {
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@ -52,8 +110,13 @@ impl WholeStreamCommand for SubCommand {
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}
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}
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#[cfg(test)]
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pub fn stddev(values: &[Value], name: &Tag) -> Result<Value, ShellError> {
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let variance = variance(values, name)?.as_primitive()?;
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compute_stddev(values, values.len(), name)
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}
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pub fn compute_stddev(values: &[Value], n: usize, name: &Tag) -> Result<Value, ShellError> {
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let variance = variance(values, n, name)?.as_primitive()?;
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let sqrt_var = match variance {
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Primitive::Decimal(var) => var.sqrt(),
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_ => {
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@ -1,13 +1,20 @@
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use crate::commands::math::utils::run_with_function;
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use crate::commands::WholeStreamCommand;
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use crate::data::value::compute_values;
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use crate::prelude::*;
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use bigdecimal::FromPrimitive;
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use nu_errors::ShellError;
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use nu_protocol::{hir::Operator, Primitive, Signature, UntaggedValue, Value};
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use nu_protocol::{
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hir::Operator, Dictionary, Primitive, ReturnSuccess, Signature, UntaggedValue, Value,
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};
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use nu_source::Tagged;
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pub struct SubCommand;
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#[derive(Deserialize)]
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struct Arguments {
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sample: Tagged<bool>,
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}
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#[async_trait]
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impl WholeStreamCommand for SubCommand {
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fn name(&self) -> &str {
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@ -15,7 +22,7 @@ impl WholeStreamCommand for SubCommand {
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}
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fn signature(&self) -> Signature {
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Signature::build("math variance")
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Signature::build("math variance").switch("sample", "calculate sample variance", Some('s'))
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}
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fn usage(&self) -> &str {
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@ -27,20 +34,69 @@ impl WholeStreamCommand for SubCommand {
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args: CommandArgs,
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registry: &CommandRegistry,
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) -> Result<OutputStream, ShellError> {
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run_with_function(
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RunnableContext {
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input: args.input,
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registry: registry.clone(),
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shell_manager: args.shell_manager,
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host: args.host,
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ctrl_c: args.ctrl_c,
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current_errors: args.current_errors,
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name: args.call_info.name_tag,
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raw_input: args.raw_input,
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},
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variance,
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)
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.await
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let name = args.call_info.name_tag.clone();
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let (Arguments { sample }, mut input) = args.process(®istry).await?;
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let values: Vec<Value> = input.drain_vec().await;
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let n = if let Tagged { item: true, .. } = sample {
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values.len() - 1
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} else {
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values.len()
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};
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let res = if values.iter().all(|v| v.is_primitive()) {
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compute_variance(&values, n, &name)
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} else {
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// If we are not dealing with Primitives, then perhaps we are dealing with a table
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// Create a key for each column name
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let mut column_values = IndexMap::new();
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for value in values {
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if let UntaggedValue::Row(row_dict) = &value.value {
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for (key, value) in row_dict.entries.iter() {
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column_values
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.entry(key.clone())
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.and_modify(|v: &mut Vec<Value>| v.push(value.clone()))
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.or_insert(vec![value.clone()]);
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}
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}
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}
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// The mathematical function operates over the columns of the table
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let mut column_totals = IndexMap::new();
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for (col_name, col_vals) in column_values {
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if let Ok(out) = compute_variance(&col_vals, n, &name) {
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column_totals.insert(col_name, out);
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}
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}
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if column_totals.keys().len() == 0 {
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return Err(ShellError::labeled_error(
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"Attempted to compute values that can't be operated on",
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"value appears here",
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name.span,
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));
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}
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Ok(UntaggedValue::Row(Dictionary {
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entries: column_totals,
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})
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.into_untagged_value())
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};
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match res {
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Ok(v) => {
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if v.value.is_table() {
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Ok(OutputStream::from(
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v.table_entries()
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.map(|v| ReturnSuccess::value(v.clone()))
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.collect::<Vec<_>>(),
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))
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} else {
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Ok(OutputStream::one(ReturnSuccess::value(v)))
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}
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}
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Err(e) => Err(e),
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}
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}
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fn examples(&self) -> Vec<Example> {
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@ -147,9 +203,14 @@ fn sum_of_squares(values: &[Value], name: &Tag) -> Result<Value, ShellError> {
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Ok(ss)
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}
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#[cfg(test)]
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pub fn variance(values: &[Value], name: &Tag) -> Result<Value, ShellError> {
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compute_variance(values, values.len(), name)
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}
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pub fn compute_variance(values: &[Value], n: usize, name: &Tag) -> Result<Value, ShellError> {
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let ss = sum_of_squares(values, name)?;
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let n = BigDecimal::from_usize(values.len()).ok_or_else(|| {
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let n = BigDecimal::from_usize(n).ok_or_else(|| {
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ShellError::labeled_error(
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"could not convert to big decimal",
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"could not convert to big decimal",
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