A library for working with phylogenetic and population genetic data.
v0.27.0
utils/containers/dataframe/operators.cpp File Reference
#include "genesis/utils/containers/dataframe/operators.hpp"
#include "genesis/utils/math/statistics.hpp"
#include "genesis/utils/text/convert.hpp"
#include "genesis/utils/text/string.hpp"
#include <algorithm>
#include <cassert>
#include <cstdint>
#include <functional>
#include <stdexcept>
#include <unordered_set>

Go to the source code of this file.

Namespaces

 genesis
 Container namespace for all symbols of genesis in order to keep them separate when used as a library.
 
 genesis::utils
 

Functions

void convert_to_bool (Dataframe &df, size_t col_index)
 
void convert_to_bool (Dataframe &df, std::string const &col_name)
 
void convert_to_double (Dataframe &df, size_t col_index)
 
void convert_to_double (Dataframe &df, std::string const &col_name)
 
template<typename S , typename T >
void convert_to_type_ (Dataframe &df, size_t col_index)
 
template<typename T >
void convert_to_type_ (Dataframe &df, size_t col_index)
 
bool is_convertible_to_bool (Dataframe const &df, size_t col_index)
 
bool is_convertible_to_bool (Dataframe const &df, std::string const &col_name)
 
bool is_convertible_to_double (Dataframe const &df, size_t col_index)
 
bool is_convertible_to_double (Dataframe const &df, std::string const &col_name)
 
static bool is_numerical_type_ (Dataframe const &df, size_t col_index)
 
std::string summarize_column (Dataframe const &df, size_t col_index)
 
std::string summarize_column (Dataframe const &df, std::string const &col_name)
 
std::string summarize_column_common_ (Dataframe const &df, size_t col_index, std::string const &description)
 
template<typename T >
std::string summarize_column_double_ (Dataframe const &df, size_t col_index)
 
template<typename T >
std::string summarize_column_int_ (Dataframe const &df, size_t col_index)
 
std::string summarize_column_string_ (Dataframe const &df, size_t col_index)
 
std::string summarize_columns (Dataframe const &df)
 
bool validate (Dataframe const &df)