Packages
chi2fit
2.1.5
3.1.0
3.0.1
3.0.0
2.1.7
2.1.6
2.1.5
retired
2.1.4
retired
2.1.3
retired
2.1.2
retired
2.1.1
retired
2.1.0
retired
2.0.2
2.0.1
2.0.0
1.3.0
1.1.0
1.0.3
1.0.2
1.0.1
1.0.0
1.0.0-beta.11
1.0.0-beta.10
1.0.0-beta.9
1.0.0-beta.8
1.0.0-beta.7
1.0.0-beta.6
1.0.0-beta.5
1.0.0-beta.4
1.0.0-beta.3
1.0.0-beta.2
1.0.0-beta.1
1.0.0-beta
1.0.0-alpha
0.9.5
0.9.4
0.9.3
0.9.2
0.9.1
0.9.0
0.8.11
0.8.10
0.8.9
0.8.8
0.8.7-alpha.2
0.8.7-alpha
0.8.6
0.8.5
0.8.4
0.8.3
0.8.2
0.8.1
0.8.0
0.7.8
0.7.7
0.7.6
0.7.5
0.7.4
0.7.3
0.7.3-1
0.7.2
0.7.1
0.7.0
0.6.7
0.6.6
0.6.5
0.6.3
0.6.0
0.5.2
0.5.1
0.5.0
0.4.0
0.3.1
0.3.0
0.2.0
Provides functions for fast matrix inversion, creation of empirical CDF from sample data including handling of asymmetric errors, and fitting to a funtion using chi-squared. The fitting procedure return the full covariance matrix describing the fitted parameters.
Retired package: Release invalid - Invalid; split into chi2fit and chi2fit_nb
Current section
Files
Jump to
Current section
Files
lib/csv.ex
defmodule Chi2fit.CSV do
# Copyright 2015-2021 Pieter Rijken
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
alias Timex.Format.DateTime.Formatters
@doc ~S"""
Reads CSV data, extracts one column, and returns it as a list of `NaiveDateTime`.
## Examples
iex> csv = ["Done","2019/05/01","2019/06/01"] |> Stream.map(& &1)
...> csv_to_list csv, "Done", header?: true
[~N[2019-06-01 00:00:00], ~N[2019-05-01 00:00:00]]
iex> csv = ["Done","2019/May/01","2019/Jun/01"] |> Stream.map(& &1)
...> csv_to_list csv, "Done", header?: true, format: "{YYYY}/{Mshort}/{0D}"
[~N[2019-06-01 00:00:00], ~N[2019-05-01 00:00:00]]
iex> csv = ["Done","2019/May/01","2019/06/01"] |> Stream.map(& &1)
...> csv_to_list csv, "Done", header?: true, format: "{YYYY}/{Mshort}/{0D}"
[~N[2019-05-01 00:00:00]]
iex> csv = ["Done","2019/May/01","2019/06/01"] |> Stream.map(& &1)
...> csv_to_list csv, "Done", header?: true, format: ["{YYYY}/{Mshort}/{0D}","{YYYY}/{0M}/{0D}"]
[~N[2019-06-01 00:00:00], ~N[2019-05-01 00:00:00]]
iex> csv = ["Done","2019/May/01","2019/Jun/01"] |> Stream.map(& &1)
...> csv_to_list csv, "Done", header?: true, format: ["%Y/%b/%d"], parser: :strftime
[~N[2019-06-01 00:00:00], ~N[2019-05-01 00:00:00]]
"""
@spec csv_to_list(csvcata :: Enumerable.t, key :: String.t, options :: Keyword.t) :: [NaiveDateTime.t]
def csv_to_list(csvdata, key, options \\ []) do
header? = options[:header?] || false
format = options[:format] || "{YYYY}/{0M}/{0D}"
separator = options[:separator] || ?,
parser = case options[:parser] do
:strftime -> Formatters.Strftime
:default -> Formatters.Default
nil -> Formatters.Default
_ -> Formatters.Default
end
formats = if is_list(format), do: format, else: [format]
csvdata
|> CSV.decode!(headers: header?, separator: separator)
|> Stream.filter(& Map.fetch!(&1, key) != "")
|> Stream.map(& Map.fetch!(&1, key))
|> Stream.map(fn t -> Enum.reduce_while(formats,nil,fn f,_acc ->
case Timex.parse(t, f, parser) do
{:ok,n} -> {:halt,n}
{:error,_msg} -> {:cont,nil}
end
end)
end)
|> Stream.filter(& &1 != nil)
|> Enum.sort(& NaiveDateTime.compare(&1,&2) === :gt)
end
end