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dataframe_tester.cc
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/*
Copyright (c) 2019-2022, Hossein Moein
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of Hossein Moein and/or the DataFrame nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL Hossein Moein BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <DataFrame/DataFrame.h>
#include <DataFrame/DataFrameOperators.h>
#include <DataFrame/DataFrameStatsVisitors.h>
#include <DataFrame/DataFrameMLVisitors.h>
#include <DataFrame/DataFrameFinancialVisitors.h>
#include <DataFrame/RandGen.h>
#include <cassert>
#include <cmath>
#include <iostream>
#include <limits>
#include <string>
#include <typeinfo>
using namespace hmdf;
typedef StdDataFrame<unsigned long> MyDataFrame;
// -----------------------------------------------------------------------------
struct ReplaceFunctor {
bool operator() (const unsigned int &idx, double &value) {
if (idx == 20180103) {
value *= 1000.0;
count += 1;
}
else if (idx == 20180115) {
value *= 1000.0;
count += 1;
}
else if (idx == 20180121) {
value *= 1000.0;
count += 1;
}
return (true);
}
size_t count { 0 };
};
// -----------------------------------------------------------------------------
static void test_haphazard() {
MyDataFrame::set_thread_level(10);
std::cout << "\nTesting load_data ..." << std::endl;
MyDataFrame df;
std::vector<int> &col0 =
df.create_column<int>(static_cast<const char *>("col_name"));
std::vector<int> intvec = { 1, 2, 3, 4, 5 };
std::vector<double> dblvec =
{ 1.2345, 2.2345, 3.2345, 4.2345, 5.2345 };
std::vector<double> dblvec2 =
{ 0.998, 0.3456, 0.056, 0.15678, 0.00345, 0.923, 0.06743, 0.1 };
std::vector<std::string> strvec =
{ "Col_name", "Col_name", "Col_name", "Col_name", "Col_name" };
std::vector<unsigned long> ulgvec =
{ 1UL, 2UL, 3UL, 4UL, 5UL, 8UL, 7UL, 6UL };
std::vector<unsigned long> xulgvec = ulgvec;
const size_t total_count =
ulgvec.size() +
intvec.size() +
dblvec.size() +
dblvec2.size() +
strvec.size() +
xulgvec.size() +
9; // NaNa inserterd
MyDataFrame::size_type rc =
df.load_data(std::move(ulgvec),
std::make_pair("int_col", intvec),
std::make_pair("dbl_col", dblvec),
std::make_pair("dbl_col_2", dblvec2),
std::make_pair("str_col", strvec),
std::make_pair("ul_col", xulgvec));
assert(rc == 48);
df.load_index(ulgvec.begin(), ulgvec.end());
df.load_column<int>("int_col", { intvec.begin(), intvec.end() },
nan_policy::pad_with_nans);
df.load_column<std::string>("str_col", { strvec.begin(), strvec.end() },
nan_policy::pad_with_nans);
df.load_column<double>("dbl_col", { dblvec.begin(), dblvec.end() },
nan_policy::pad_with_nans);
df.load_column<double>("dbl_col_2", { dblvec2.begin(), dblvec2.end() },
nan_policy::dont_pad_with_nans);
df.append_column<std::string>("str_col", "Additional column");
df.append_column("dbl_col", 10.56);
std::vector<int> ivec = df.get_column<int> ("int_col");
assert(df.get_column<double> ("dbl_col")[2] == 3.2345);
std::cout << "\nTesting Visitors 1 ..." << std::endl;
MeanVisitor<int> ivisitor;
MeanVisitor<double> dvisitor;
const MyDataFrame const_df = df;
auto const_fut =
const_df.visit_async<int>("int_col", ivisitor);
assert(const_fut.get().get_result() == 1);
auto fut = df.visit_async<double>("dbl_col", dvisitor);
assert(abs(fut.get().get_result() - 3.2345) < 0.00001);
df.get_column<double>("dbl_col")[5] = 6.5;
df.get_column<double>("dbl_col")[6] = 7.5;
df.get_column<double>("dbl_col")[7] = 8.5;
assert(::abs(df.visit<double>("dbl_col", dvisitor).get_result() -
4.83406) < 0.0001);
std::vector<double> dvec = df.get_column<double> ("dbl_col");
std::vector<double> dvec2 = df.get_column<double> ("dbl_col_2");
assert(dvec.size() == 9);
assert(dvec[0] == 1.2345);
assert(dvec[1] == 2.2345);
assert(dvec[3] == 4.2345);
assert(dvec[8] == 10.56);
assert(dvec2.size() == 8);
assert(dvec2[0] == 0.998);
assert(dvec2[1] == 0.3456);
assert(dvec2[4] == 0.00345);
assert(dvec2[7] == 0.1);
std::cout << "\nTesting make_consistent ..." << std::endl;
df.make_consistent<int, double, std::string>();
df.shrink_to_fit<int, double, std::string>();
dvec = df.get_column<double> ("dbl_col");
dvec2 = df.get_column<double> ("dbl_col_2");
assert(dvec.size() == 8);
assert(dvec[0] == 1.2345);
assert(dvec[1] == 2.2345);
assert(dvec[3] == 4.2345);
assert(dvec[7] == 8.5);
assert(dvec2.size() == 8);
assert(dvec2[0] == 0.998);
assert(dvec2[1] == 0.3456);
assert(dvec2[4] == 0.00345);
assert(dvec2[7] == 0.1);
std::cout << "\nTesting sort 1 ..." << std::endl;
df.sort<MyDataFrame::IndexType, int, double, std::string>
(DF_INDEX_COL_NAME, sort_spec::ascen);
dvec = df.get_column<double> ("dbl_col");
dvec2 = df.get_column<double> ("dbl_col_2");
assert(dvec.size() == 8);
assert(dvec[0] == 1.2345);
assert(dvec[1] == 2.2345);
assert(dvec[3] == 4.2345);
assert(dvec[5] == 8.5);
assert(dvec[7] == 6.5);
assert(dvec2.size() == 8);
assert(dvec2[0] == 0.998);
assert(dvec2[1] == 0.3456);
assert(dvec2[4] == 0.00345);
assert(dvec2[5] == 0.1);
assert(dvec2[7] == 0.923);
std::cout << "\nTesting sort 2 ..." << std::endl;
df.sort<double, int, double, std::string>("dbl_col_2", sort_spec::desce);
dvec = df.get_column<double> ("dbl_col");
dvec2 = df.get_column<double> ("dbl_col_2");
assert(dvec[0] == 1.2345);
assert(dvec[7] == 5.2345);
assert(dvec2[0] == 0.998);
assert(dvec2[7] == 0.00345);
std::cout << "\nTesting sort 3 ..." << std::endl;
df.sort<double, int, double, std::string>("dbl_col_2", sort_spec::ascen);
dvec = df.get_column<double> ("dbl_col");
dvec2 = df.get_column<double> ("dbl_col_2");
assert(dvec.size() == 8);
assert(dvec[0] == 5.2345);
assert(dvec[1] == 3.2345);
assert(dvec[3] == 8.5);
assert(dvec[5] == 2.2345);
assert(dvec[7] == 1.2345);
assert(dvec2.size() == 8);
assert(dvec2[0] == 0.00345);
assert(dvec2[1] == 0.056);
assert(dvec2[4] == 0.15678);
assert(dvec2[5] == 0.3456);
assert(dvec2[7] == 0.998);
std::cout << "\nTesting get_data_by_idx() ..." << std::endl;
df.sort<MyDataFrame::IndexType, int, double, std::string>
(DF_INDEX_COL_NAME, sort_spec::ascen);
MyDataFrame df2 =
df.get_data_by_idx<int, double, std::string>(
Index2D<MyDataFrame::IndexType> { 3, 5 });
dvec = df2.get_column<double> ("dbl_col");
dvec2 = df2.get_column<double> ("dbl_col_2");
assert(dvec.size() == 3);
assert(dvec[0] == 3.2345);
assert(dvec[1] == 4.2345);
assert(dvec2.size() == 3);
assert(dvec2[0] == 0.056);
assert(dvec2[1] == 0.15678);
std::cout << "\nTesting get_data_by_loc() ..." << std::endl;
df.sort<double, int, double, std::string>("dbl_col_2", sort_spec::ascen);
MyDataFrame df3 = df.get_data_by_loc<int, double, std::string>
(Index2D<long> { 1, 2 });
assert(df3.get_index().size() == 1);
assert(df3.get_column<int>("int_col").size() == 1);
assert(df3.get_column<double>("dbl_col").size() == 1);
assert(df3.get_column<double>("dbl_col_2").size() == 1);
assert(df3.get_column<std::string>("str_col").size() == 1);
assert(df3.get_index()[0] == 3);
assert(df3.get_column<double>("dbl_col")[0] == 3.2345);
assert(df3.get_column<int>("col_name")[0] == 0);
assert(df3.get_column<std::string>("str_col")[0] == "Col_name");
// Printing the second df after get_data_by_loc() ...
dvec = df3.get_column<double> ("dbl_col");
dvec2 = df3.get_column<double> ("dbl_col_2");
assert(dvec.size() == 1);
assert(dvec[0] == 3.2345);
assert(dvec2.size() == 1);
assert(dvec2[0] == 0.056);
std::cout << "\nTesting Correlation Visitor ..." << std::endl;
CorrVisitor<double> corr_visitor;
auto fut10 =
df.visit_async<double, double>("dbl_col", "dbl_col_2", corr_visitor);
const double corr = fut10.get().get_result();
assert(fabs(corr - -0.358381) < 0.000001);
std::cout << "\nTesting Stats Visitor ..." << std::endl;
StatsVisitor<double> stats_visitor;
df.visit<double>("dbl_col", stats_visitor);
dvec = df.get_column<double> ("dbl_col");
assert(fabs(stats_visitor.get_skew() - 0.0396307) < 0.0001);
assert(fabs(stats_visitor.get_kurtosis() - -1.273) < 0.0001);
assert(fabs(stats_visitor.get_mean() - 4.83406) < 0.0001);
assert(fabs(stats_visitor.get_variance() - 6.58781) < 0.0001);
std::cout << "\nTesting SLRegression Visitor ..." << std::endl;
SLRegressionVisitor<double> slr_visitor;
df.visit<double, double>("dbl_col", "dbl_col_2", slr_visitor);
assert(slr_visitor.get_count() == 8);
assert(fabs(slr_visitor.get_slope() - -0.0561415) < 0.00001);
assert(fabs(slr_visitor.get_intercept() - 0.602674) < 0.00001);
assert(fabs(slr_visitor.get_corr() - -0.358381) < 0.00001);
assert(fabs(df.visit<double, double>("dbl_col", "dbl_col_2",
corr_visitor).get_result() -
-0.358381) < 0.00001);
std::cout << "\nTesting GROUPBY ..." << std::endl;
std::vector<unsigned long> ulgvec2 =
{ 123450, 123451, 123452, 123450, 123455, 123450, 123449,
123448, 123451, 123452, 123452, 123450, 123455, 123450,
123454, 123453, 123456, 123457, 123458, 123459, 123460,
123441, 123442, 123432, 123433, 123434, 123435, 123436 };
std::vector<unsigned long> xulgvec2 = ulgvec2;
std::vector<int> intvec2 =
{ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
15, 20, 22, 23, 24, 25, 30, 33, 34, 35, 36, 40, 45, 46 };
std::vector<double> xdblvec2 =
{ 1.2345, 2.2345, 3.2345, 4.2345, 5.2345, 3.0, 0.9999,
10.0, 4.25, 0.009, 1.111, 8.0, 2.2222, 3.3333,
11.0, 5.25, 1.009, 2.111, 9.0, 3.2222, 4.3333,
12.0, 6.25, 2.009, 3.111, 10.0, 4.2222, 5.3333 };
std::vector<double> dblvec22 =
{ 0.998, 0.3456, 0.056, 0.15678, 0.00345, 0.923, 0.06743,
0.1, 0.0056, 0.07865, -0.9999, 0.0111, 0.1002, -0.8888,
0.14, 0.0456, 0.078654, -0.8999, 0.01119, 0.8002, -0.9888,
0.2, 0.1056, 0.87865, -0.6999, 0.4111, 0.1902, -0.4888 };
std::vector<std::string> strvec2 =
{ "4% of something", "Description 4/5", "This is bad",
"3.4% of GDP", "Market drops", "Market pulls back",
"$15 increase", "Running fast", "C++14 development",
"Some explanation", "More strings", "Bonds vs. Equities",
"Almost done", "Here comes the sun", "XXXX1", "XXXX04",
"XXXX2", "XXXX3", "XXXX4", "XXXX4", "XXXX5", "XXXX6",
"XXXX7", "XXXX10", "XXXX11", "XXXX01", "XXXX02", "XXXX03" };
MyDataFrame dfx;
dfx.load_data(std::move(ulgvec2),
std::make_pair("xint_col", intvec2),
std::make_pair("dbl_col", xdblvec2),
std::make_pair("dbl_col_2", dblvec22),
std::make_pair("str_col", strvec2),
std::make_pair("ul_col", xulgvec2));
dfx.write<std::ostream,
int,
unsigned long,
double,
std::string>(std::cout);
const MyDataFrame dfxx =
dfx.groupby<GroupbySum,
unsigned long,
int,
unsigned long,
std::string,
double>(GroupbySum());
dfxx.write<std::ostream,
int,
unsigned long,
double,
std::string>(std::cout);
const MyDataFrame dfxx2 =
dfx.groupby<GroupbySum,
std::string,
int,
unsigned long,
std::string,
double>(GroupbySum(), "str_col");
dfxx2.write<std::ostream,
int,
unsigned long,
double,
std::string>(std::cout);
std::future<MyDataFrame> gb_fut =
dfx.groupby_async<GroupbySum,
double,
int,
unsigned long,
std::string,
double>(GroupbySum(), "dbl_col_2");
const MyDataFrame dfxx3 = gb_fut.get();
dfxx3.write<std::ostream,
int,
unsigned long,
double,
std::string>(std::cout);
std::cout << "\nTesting Async write ..." << std::endl;
std::future<bool> fut2 =
dfxx3.write_async<std::ostream,
int,
unsigned long,
double,
std::string>(std::cout);
fut2.get();
std::cout << "\nTesting Async sort ..." << std::endl;
auto sf = dfx.sort_async<MyDataFrame::IndexType, std::string,
int, double, std::string, unsigned int>
(DF_INDEX_COL_NAME, sort_spec::ascen,
"str_col", sort_spec::desce);
sf.get();
std::cout << "\nTesting Async sort 2 ..." << std::endl;
std::future<void> sort_fut =
dfx.sort_async<MyDataFrame::IndexType,
int, double, std::string, unsigned int>
(DF_INDEX_COL_NAME, sort_spec::ascen);
sort_fut.get();
dfx.write<std::ostream,
int,
unsigned long,
double,
std::string>(std::cout);
std::cout << "\nTesting Bucketize() ..." << std::endl;
const MyDataFrame::IndexType interval = 4;
std::future<MyDataFrame> b_fut =
dfx.bucketize_async<GroupbySum,
int,
unsigned long,
std::string,
double>(GroupbySum(), interval);
const MyDataFrame buck_df = b_fut.get();
buck_df.write<std::ostream,
int,
unsigned long,
double,
std::string>(std::cout, true);
std::cout << "\nTesting multi_visit() ..." << std::endl;
MeanVisitor<int> ivisitor2;
MeanVisitor<unsigned long> ulvisitor;
MeanVisitor<double> dvisitor2;
MeanVisitor<double> dvisitor22;
dfx.multi_visit(std::make_pair("xint_col", &ivisitor2),
std::make_pair("dbl_col", &dvisitor2),
std::make_pair("dbl_col_2", &dvisitor22),
std::make_pair("ul_col", &ulvisitor));
assert(ivisitor2.get_result() == 19);
assert(fabs(dvisitor2.get_result() - 4.5696) < 0.0001);
assert(fabs(dvisitor22.get_result() - 0.0264609) < 0.00001);
assert(ulvisitor.get_result() == 123448);
const MyDataFrame dfx_c = dfx;
dfx_c.multi_visit(std::make_pair("xint_col", &ivisitor2),
std::make_pair("dbl_col", &dvisitor2),
std::make_pair("dbl_col_2", &dvisitor22),
std::make_pair("ul_col", &ulvisitor));
assert(ivisitor2.get_result() == 19);
assert(fabs(dvisitor2.get_result() - 4.5696) < 0.0001);
assert(fabs(dvisitor22.get_result() - 0.0264609) < 0.00001);
assert(ulvisitor.get_result() == 123448);
MyDataFrame df_copy_con = dfx;
assert((df_copy_con.is_equal<int,
unsigned long,
double,
std::string>(dfx)));
assert((! df_copy_con.is_equal<int,
unsigned long,
double,
std::string>(dfxx)));
df_copy_con.get_column<double>("dbl_col")[7] = 88.888888;
assert(dfx.get_column<double>("dbl_col")[7] == 10.0);
assert(
fabs(df_copy_con.get_column<double>("dbl_col")[7] - 88.888888) <
0.00001);
assert(! (df_copy_con.is_equal<int,
unsigned long,
double,
std::string>(dfx)));
std::cout << "dfx before modify_by_idx()" << std::endl;
dfx.write<std::ostream,
int,
unsigned long,
double,
std::string>(std::cout);
dfx.modify_by_idx<int, unsigned long, double, std::string>(df_copy_con);
std::cout << "dfx after modify_by_idx()" << std::endl;
dfx.write<std::ostream,
int,
unsigned long,
double,
std::string>(std::cout);
dfx.modify_by_idx<int, unsigned long, double, std::string>(df);
std::cout << "dfx after modify_by_idx()" << std::endl;
dfx.write<std::ostream,
int,
unsigned long,
double,
std::string>(std::cout);
MyDataFrame::set_thread_level(5);
assert(MyDataFrame::get_thread_level() == 5);
MyDataFrame::set_thread_level(0);
assert(MyDataFrame::get_thread_level() == 0);
MyDataFrame::set_thread_level(10);
}
// -----------------------------------------------------------------------------
static void test_read() {
std::cout << "\nTesting read() ..." << std::endl;
MyDataFrame df_read;
try {
// std::future<bool> fut2 =
// df_read.read_async("../test/sample_data.csv");
std::future<bool> fut2 = df_read.read_async("sample_data.csv");
fut2.get();
}
catch (const DataFrameError &ex) {
std::cout << ex.what() << std::endl;
}
df_read.write<std::ostream,
int,
unsigned long,
double,
std::string,
bool>(std::cout);
StdDataFrame<std::string> df_read_str;
try {
df_read_str.read("sample_data_string_index.csv");
}
catch (const DataFrameError &ex) {
std::cout << ex.what() << std::endl;
}
df_read_str.write<std::ostream,
int,
unsigned long,
double,
std::string,
bool>(std::cout);
StdDataFrame<DateTime> df_read_dt;
try {
df_read_dt.read("sample_data_dt_index.csv");
}
catch (const DataFrameError &ex) {
std::cout << ex.what() << std::endl;
}
df_read_dt.write<std::ostream,
int,
unsigned long,
double,
std::string,
bool>(std::cout);
}
// -----------------------------------------------------------------------------
static void test_transpose() {
std::cout << "\nTesting transpose() ..." << std::endl;
std::vector<unsigned long> idx =
{ 123450, 123451, 123452, 123450, 123455, 123450, 123449 };
std::vector<double> d1 = { 1, 2, 3, 4, 5, 6, 7 };
std::vector<double> d2 = { 8, 9, 10, 11, 12, 13, 14 };
std::vector<double> d3 = { 15, 16, 17, 18, 19, 20, 21 };
std::vector<double> d4 = { 22, 23, 24, 25 };
MyDataFrame df;
df.load_data(std::move(idx),
std::make_pair("col_1", d1),
std::make_pair("col_2", d2),
std::make_pair("col_3", d3),
std::make_pair("col_4", d4));
std::vector<unsigned long> tidx = { 100, 101, 102, 104 };
std::vector<const char *> tcol_names =
{ "tcol_1", "tcol_2", "tcol_3",
"tcol_4", "tcol_5", "tcol_6", "tcol_7" };
MyDataFrame tdf =
df.transpose<double>(std::move(tidx),
{ "col_1", "col_2", "col_3", "col_4" },
tcol_names);
std::cout << "Original DataFrame:" << std::endl;
df.write<std::ostream, unsigned long, double>(std::cout);
std::cout << "Transposed DataFrame:" << std::endl;
tdf.write<std::ostream, unsigned long, double>(std::cout);
}
// -----------------------------------------------------------------------------
static void test_get_data_by_loc_slicing() {
std::cout << "\nTesting get_data_by_loc()/slicing ..." << std::endl;
std::vector<unsigned long> idx =
{ 123450, 123451, 123452, 123450, 123455, 123450, 123449 };
std::vector<double> d1 = { 1, 2, 3, 4, 5, 6, 7 };
std::vector<double> d2 = { 8, 9, 10, 11, 12, 13, 14 };
std::vector<double> d3 = { 15, 16, 17, 18, 19, 20, 21 };
std::vector<double> d4 = { 22, 23, 24, 25 };
MyDataFrame df;
df.load_data(std::move(idx),
std::make_pair("col_1", d1),
std::make_pair("col_2", d2),
std::make_pair("col_3", d3),
std::make_pair("col_4", d4));
MyDataFrame df2 = df.get_data_by_loc<double>(Index2D<long> { 3, 6 });
MyDataFrame df3 = df.get_data_by_loc<double>(Index2D<long> { 0, 7 });
MyDataFrame df4 = df.get_data_by_loc<double>(Index2D<long> { -4, -1 });
MyDataFrame df5 = df.get_data_by_loc<double>(Index2D<long> { -4, 6 });
df.write<std::ostream, double>(std::cout);
df2.write<std::ostream, double>(std::cout);
df3.write<std::ostream, double>(std::cout);
df4.write<std::ostream, double>(std::cout);
df5.write<std::ostream, double>(std::cout);
try {
MyDataFrame df2 =
df.get_data_by_loc<double>(Index2D<long> { 3, 8 });
}
catch (const BadRange &ex) {
std::cout << "Caught: " << ex.what() << std::endl;
}
try {
MyDataFrame df2 =
df.get_data_by_loc<double>(Index2D<long> { -8, -1 });
}
catch (const BadRange &ex) {
std::cout << "Caught: " << ex.what() << std::endl;
}
}
// -----------------------------------------------------------------------------
static void test_get_view_by_loc() {
std::cout << "\nTesting get_view_by_loc() ..." << std::endl;
std::vector<unsigned long> idx =
{ 123450, 123451, 123452, 123450, 123455, 123450, 123449 };
std::vector<double> d1 = { 1, 2, 3, 4, 5, 6, 7 };
std::vector<double> d2 = { 8, 9, 10, 11, 12, 13, 14 };
std::vector<double> d3 = { 15, 16, 17, 18, 19, 20, 21 };
std::vector<double> d4 = { 22, 23, 24, 25 };
std::vector<std::string> s1 =
{ "11", "22", "33", "xx", "yy", "gg", "string" };
MyDataFrame df;
df.load_data(std::move(idx),
std::make_pair("col_1", d1),
std::make_pair("col_2", d2),
std::make_pair("col_3", d3),
std::make_pair("col_4", d4),
std::make_pair("col_str", s1));
auto memory_use1 = df.get_memory_usage<double>("col_3");
std::cout << "DataFrame Memory Usage:\n" << memory_use1 << std::endl;
typedef DataFrameView<unsigned long> MyDataFrameView;
MyDataFrameView dfv =
df.get_view_by_loc<double, std::string>(Index2D<long> { 3, 6 });
dfv.shrink_to_fit<double, std::string>();
dfv.write<std::ostream, double, std::string>(std::cout);
dfv.get_column<double>("col_3")[0] = 88.0;
assert(dfv.get_column<double>("col_3")[0] ==
df.get_column<double>("col_3")[3]);
assert(dfv.get_column<double>("col_3")[0] == 88.0);
auto memory_use2 = dfv.get_memory_usage<double>("col_3");
std::cout << "View Memory Usage:\n" << memory_use2 << std::endl;
}
// -----------------------------------------------------------------------------
static void test_remove_column() {
std::cout << "\nTesting remove_column() ..." << std::endl;
std::vector<unsigned long> idx =
{ 123450, 123451, 123452, 123450, 123455, 123450, 123449 };
std::vector<double> d1 = { 1, 2, 3, 4, 5, 6, 7 };
std::vector<double> d2 = { 8, 9, 10, 11, 12, 13, 14 };
std::vector<double> d3 = { 15, 16, 17, 18, 19, 20, 21 };
std::vector<int> i1 = { 22, 23, 24, 25 };
std::vector<std::string> s1 =
{ "11", "22", "33", "xx", "yy", "gg", "string" };
MyDataFrame df;
df.load_data(std::move(idx),
std::make_pair("col_1", d1),
std::make_pair("col_2", d2),
std::make_pair("col_3", d3),
std::make_pair("col_int", i1),
std::make_pair("col_str", s1));
df.write<std::ostream, double, int, std::string>(std::cout);
df.remove_column("col_2");
std::cout << "After removing column `col_2`" << std::endl;
df.write<std::ostream, double, int, std::string>(std::cout);
df.remove_column("col_str");
std::cout << "After removing column `col_str`" << std::endl;
df.write<std::ostream, double, int, std::string>(std::cout);
std::vector<double> d22 = { 8, 9, 10, 11, 12, 13, 14 };
df.load_column("col_2", std::move(d22));
std::cout << "After adding back column `col_2`" << std::endl;
df.write<std::ostream, double, int, std::string>(std::cout);
}
// -----------------------------------------------------------------------------
static void test_get_view_by_idx_slicing() {
std::cout << "\nTesting get_view_by_idx()/slicing ..." << std::endl;
std::vector<unsigned long> idx =
{ 123450, 123451, 123452, 123453, 123454, 123455, 123456,
123457, 123458, 123459, 123460, 123461, 123462, 123466 };
std::vector<double> d1 = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 };
std::vector<double> d2 = { 8, 9, 10, 11, 12, 13, 14, 20, 22, 23,
30, 31, 32, 1.89};
std::vector<double> d3 = { 15, 16, 17, 18, 19, 20, 21,
0.34, 1.56, 0.34, 2.3, 0.1, 0.89, 0.45 };
std::vector<int> i1 = { 22, 23, 24, 25, 99, 100, 101, 3, 2 };
MyDataFrame df;
df.load_data(std::move(idx),
std::make_pair("col_1", d1),
std::make_pair("col_2", d2),
std::make_pair("col_3", d3),
std::make_pair("col_4", i1));
typedef DataFrameView<unsigned long> MyDataFrameView;
MyDataFrame df2 =
df.get_data_by_idx<double, int>(
Index2D<MyDataFrame::IndexType> { 123452, 123460 });
MyDataFrameView dfv =
df.get_view_by_idx<double, int>(
Index2D<MyDataFrame::IndexType> { 123452, 123460 });
df.write<std::ostream, double, int>(std::cout);
df2.write<std::ostream, double, int>(std::cout);
dfv.write<std::ostream, double, int>(std::cout);
dfv.get_column<double>("col_3")[0] = 88.0;
assert(dfv.get_column<double>("col_3")[0] ==
df.get_column<double>("col_3")[2]);
assert(dfv.get_column<double>("col_3")[0] == 88.0);
}
// -----------------------------------------------------------------------------
static void test_rename_column() {
std::cout << "\nTesting rename_column() ..." << std::endl;
std::vector<unsigned long> idx =
{ 123450, 123451, 123452, 123453, 123454, 123455, 123456,
123457, 123458, 123459, 123460, 123461, 123462, 123466 };
std::vector<double> d1 = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13, 14 };
std::vector<double> d2 = { 8, 9, 10, 11, 12, 13, 14, 20, 22, 23,
30, 31, 32, 1.89};
std::vector<double> d3 = { 15, 16, 17, 18, 19, 20, 21,
0.34, 1.56, 0.34, 2.3, 0.1, 0.89, 0.45 };
std::vector<int> i1 = { 22, 23, 24, 25, 99, 100, 101, 3, 2 };
MyDataFrame df;
df.load_data(std::move(idx),
std::make_pair("col_1", d1),
std::make_pair("col_2", d2),
std::make_pair("col_3", d3),
std::make_pair("col_4", i1));
std::cout << "Before rename" << std::endl;
df.write<std::ostream, double, int>(std::cout);
df.rename_column("col_2", "renamed_column");
std::cout << "After rename" << std::endl;
df.write<std::ostream, double, int>(std::cout);
}
// -----------------------------------------------------------------------------
static void test_get_col_unique_values() {
std::cout << "\nTesting get_col_unique_values() ..." << std::endl;
std::vector<unsigned long> idx =
{ 123450, 123451, 123452, 123453, 123454, 123455, 123456,
123457, 123458, 123459, 123460, 123461, 123462, 123466 };
std::vector<double> d1 = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 };
std::vector<double> d2 = { 8, 9, 10, 11, 12, 13, 14, 20, 22, 23,
30, 31, 32, 1.89};
std::vector<double> d3 = { 15, 16, 15, 18, 19, 16, 21,
0.34, 1.56, 0.34, 2.3, 0.34, 0.89, 19.0 };
std::vector<int> i1 = { 22, 23, 24, 25, 99, 100, 101, 3, 2 };
MyDataFrame df;
df.load_data(std::move(idx),
std::make_pair("col_1", d1),
std::make_pair("col_2", d2),
std::make_pair("col_3", d3),
std::make_pair("col_4", i1));
df.write<std::ostream, double, int>(std::cout);
std::cout << "Getting unique values in column col_3" << std::endl;
const std::vector<double> result =
df.get_col_unique_values<double>("col_3");
for (auto &iter : result)
std::cout << iter << ",";
std::cout << std::endl;
}
// -----------------------------------------------------------------------------
static void test_remove_data_by_idx() {
std::cout << "\nTesting remove_data_by_idx() ..." << std::endl;
std::vector<unsigned long> idx =
{ 123450, 123451, 123452, 123453, 123454, 123455, 123456,
123457, 123458, 123459, 123460, 123461, 123462, 123466 };
std::vector<double> d1 = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 };
std::vector<double> d2 = { 8, 9, 10, 11, 12, 13, 14, 20, 22, 23,
30, 31, 32, 1.89};
std::vector<double> d3 = { 15, 16, 17, 18, 19, 20, 21,
0.34, 1.56, 0.34, 2.3, 0.1, 0.89, 0.45 };
std::vector<int> i1 = { 22, 23, 24, 25, 99, 100, 101, 3, 2 };
MyDataFrame df;
df.load_data(std::move(idx),
std::make_pair("col_1", d1),
std::make_pair("col_2", d2),
std::make_pair("col_3", d3),
std::make_pair("col_4", i1));
df.write<std::ostream, double, int>(std::cout);
std::cout << "After removing by ibdex { 123452, 123460 }" << std::endl;
df.remove_data_by_idx<double, int>({ 123452, 123460 });
df.write<std::ostream, double, int>(std::cout);
}
// -----------------------------------------------------------------------------
static void test_remove_data_by_loc() {
std::cout << "\nTesting remove_data_by_loc() ..." << std::endl;
std::vector<unsigned long> idx =
{ 123450, 123451, 123452, 123453, 123454, 123455, 123456,
123457, 123458, 123459, 123460, 123461, 123462, 123466 };
std::vector<double> d1 = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 };
std::vector<double> d2 = { 8, 9, 10, 11, 12, 13, 14, 20, 22, 23,
30, 31, 32, 1.89};
std::vector<double> d3 = { 15, 16, 17, 18, 19, 20, 21,
0.34, 1.56, 0.34, 2.3, 0.1, 0.89, 0.45 };
std::vector<int> i1 = { 22, 23, 24, 25, 99 };
MyDataFrame df;
df.load_data(std::move(idx),
std::make_pair("col_1", d1),
std::make_pair("col_2", d2),
std::make_pair("col_3", d3),
std::make_pair("col_4", i1));
df.write<std::ostream, double, int>(std::cout);
std::cout << "After removing by ibdex { 3, -3 }" << std::endl;
df.remove_data_by_loc<double, int>({ 3, -3 });
df.write<std::ostream, double, int>(std::cout);
}
// -----------------------------------------------------------------------------
static void test_value_counts() {
std::cout << "\nTesting value_counts() ..." << std::endl;
const double my_nan = sqrt(-1);
std::vector<unsigned long> idx =
{ 123450, 123451, 123452, 123453, 123454, 123455, 123456,
123457, 123458, 123459, 123460, 123461, 123462, 123466 };
std::vector<double> d1 = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 };
std::vector<double> d2 = { 8, 9, 10, 11, 12, 13, 14, 20, 22, 23,
30, 31, 32, 1.89};
std::vector<double> d3 = { 15, 16, 15, 18, 19, 16, 21, my_nan,
0.34, 1.56, 0.34, 2.3, 0.34, 19.0 };
std::vector<int> i1 = { 22, 23, 24, 25, 99 };
MyDataFrame df;
df.load_data(std::move(idx),
std::make_pair("col_1", d1),
std::make_pair("col_2", d2),
std::make_pair("col_3", d3),
std::make_pair("col_4", i1));
df.write<std::ostream, double, int>(std::cout);
auto result = df.value_counts<double>("col_3");
std::cout << "After calling value_counts(cols_3)" << std::endl;
result.write<std::ostream, size_t>(std::cout);
}
// -----------------------------------------------------------------------------
static void test_index_inner_join() {
std::cout << "\nTesting Index Inner Join ..." << std::endl;
std::vector<unsigned long> idx =
{ 123456, 123451, 123452, 123453, 123454, 123455, 123450,
123457, 123458, 123459, 123460, 123461, 123462, 123466 };
std::vector<double> d1 = { 7, 2, 3, 4, 5, 6, 1, 8, 9, 10, 11, 12, 13, 14 };
std::vector<double> d2 = { 14, 9, 10, 11, 12, 13, 8, 20, 22, 23,
30, 31, 32, 1.89};
std::vector<double> d3 = { 21, 16, 15, 18, 19, 16, 15,
0.34, 1.56, 0.34, 2.3, 0.34, 19.0 };
std::vector<int> i1 = { 22, 23, 24, 25, 99 };
MyDataFrame df;
df.load_data(std::move(idx),
std::make_pair("col_1", d1),
std::make_pair("col_2", d2),
std::make_pair("col_3", d3),
std::make_pair("col_4", i1));
std::vector<unsigned long> idx2 =
{ 123452, 123453, 123455, 123458, 123466, 223450, 223451,
223454, 223456, 223457, 223459, 223460, 223462, 223461 };
std::vector<double> d12 =
{ 11, 12, 13, 14, 15, 16, 17, 18, 19, 110, 111, 112, 114, 113 };
std::vector<double> d22 =
{ 18, 19, 110, 111, 112, 113, 114, 120, 122, 123,
130, 131, 11.89, 132 };
std::vector<double> d32 =
{ 115, 116, 115, 118, 119, 116, 121,
10.34, 11.56, 10.34, 12.3, 119.0, 10.34 };
std::vector<int> i12 = { 122, 123, 124, 125, 199 };
MyDataFrame df2;
df2.load_data(std::move(idx2),
std::make_pair("xcol_1", d12),
std::make_pair("col_2", d22),
std::make_pair("xcol_3", d32),
std::make_pair("col_4", i12));
std::cout << "First DF:" << std::endl;
df.write<std::ostream, double, int>(std::cout);
std::cout << "Second DF2:" << std::endl;
df2.write<std::ostream, double, int>(std::cout);
MyDataFrame join_df =
df.join_by_index<decltype(df2), double, int>
(df2, join_policy::inner_join);
std::cout << "Now The joined DF:" << std::endl;