在pivot_wider（）之后，我得到了下面的data.frame。
如何将数据聚合在同一行上？

CODE_C   CODE_P LIB_COMPOSANT LIB_PRODUIT `2020-01-01` `2020-02-01` `2020-03-01` `2020-04-01` `2020-05-01` `2020-06-01`
  <chr>    <chr>  <chr>         <chr>              <dbl>        <dbl>        <dbl>        <dbl>        <dbl>        <dbl>
1 FABR**01 FABR** Abricot, 82   Abricot             1.32        NA           NA           NA           NA           NA   
2 FABR**01 FABR** Abricot, 82   Abricot            NA            1.10        NA           NA           NA           NA   
3 FABR**01 FABR** Abricot, 82   Abricot            NA           NA            3.33        NA           NA           NA   
4 FABR**01 FABR** Abricot, 82   Abricot            NA           NA           NA            4.71        NA           NA   
5 FABR**01 FABR** Abricot, 82   Abricot            NA           NA           NA           NA            4.38        NA   
6 FABR**01 FABR** Abricot, 82   Abricot            NA           NA           NA           NA           NA            3.25

字符串
要重现 Dataframe ，请执行以下操作：

structure(list(CODE_C = c("FABR**01", "FABR**01", "FABR**01", 
"FABR**01", "FABR**01", "FABR**01"), CODE_P = c("FABR**", "FABR**", 
"FABR**", "FABR**", "FABR**", "FABR**"), LIB_COMPOSANT = c("Abricot, 82", 
"Abricot, 82", "Abricot, 82", "Abricot, 82", "Abricot, 82", "Abricot, 82"
), LIB_PRODUIT = c("Abricot", "Abricot", "Abricot", "Abricot", 
"Abricot", "Abricot"), `2020-01-01` = c(1.32446153846154, NA, 
NA, NA, NA, NA), `2020-02-01` = c(NA, 1.09984615384615, NA, NA, 
NA, NA), `2020-03-01` = c(NA, NA, 3.33157894736842, NA, NA, NA
), `2020-04-01` = c(NA, NA, NA, 4.70916279069767, NA, NA), `2020-05-01` = c(NA, 
NA, NA, NA, 4.37848648648649, NA), `2020-06-01` = c(NA, NA, NA, 
NA, NA, 3.24713953488372)), row.names = c(NA, -6L), class = c("tbl_df", 
"tbl", "data.frame"))

型
初始的pivot_wider（）看起来像这样：

pivot_wider(DONNEES_COMPOSANT,
            names_from = date,
            values_from = PRIX)

型
预期产出：

CODE_C   CODE_P LIB_COMPOSANT LIB_PRODUIT `2020-01-01` `2020-02-01` `2020-03-01` `2020-04-01` `2020-05-01` `2020-06-01`
  <chr>    <chr>  <chr>         <chr>              <dbl>        <dbl>        <dbl>        <dbl>        <dbl>        <dbl>
1 FABR**01 FABR** Abricot, 82   Abricot             1.32        1.10           3.33           4.71           4.38           3.25

型