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可以對代碼進行哪些更改以使用ggplot2獲得我想要的圖形？

2021-12-30 04:17:18 資料庫

我有一個資料框“India_variant_df”，我正在嘗試使用 ggplot2 包繪制多線圖。作為輸出的圖形不是我想象的。我需要幫助弄清楚，我哪里出錯了。

這是我的df。

dput(India_variant_df)
    structure(list(month_year = c("Apr-2021", "Apr-2021", "Apr-2021", 
    "Apr-2021", "Apr-2021", "Apr-2021", "Apr-2021", "Apr-2021", "Apr-2021", 
    "Apr-2021", "Apr-2021", "Apr-2021", "Apr-2021", "Apr-2021", "Apr-2021", 
    "Apr-2021", "Apr-2021", "Apr-2021", "Apr-2021", "Apr-2021", "Apr-2021", 
    "Apr-2021", "Apr-2021", "Apr-2021", "Aug-2020", "Aug-2020", "Aug-2020", 
    "Aug-2020", "Aug-2020", "Aug-2020", "Aug-2020", "Aug-2020", "Aug-2020", 
    "Aug-2020", "Aug-2020", "Aug-2020", "Aug-2020", "Aug-2020", "Aug-2020", 
    "Aug-2020", "Aug-2020", "Aug-2020", "Aug-2020", "Aug-2020", "Aug-2020", 
    "Aug-2020", "Aug-2020", "Aug-2020", "Aug-2021", "Aug-2021", "Aug-2021", 
    "Aug-2021", "Aug-2021", "Aug-2021", "Aug-2021", "Aug-2021", "Aug-2021", 
    "Aug-2021", "Aug-2021", "Aug-2021", "Aug-2021", "Aug-2021", "Aug-2021", 
    "Aug-2021", "Aug-2021", "Aug-2021", "Aug-2021", "Aug-2021", "Aug-2021", 
    "Aug-2021", "Aug-2021", "Aug-2021", "Dec-2020", "Dec-2020", "Dec-2020", 
    "Dec-2020", "Dec-2020", "Dec-2020", "Dec-2020", "Dec-2020", "Dec-2020", 
    "Dec-2020", "Dec-2020", "Dec-2020", "Dec-2020", "Dec-2020", "Dec-2020", 
    "Dec-2020", "Dec-2020", "Dec-2020", "Dec-2020", "Dec-2020", "Dec-2020", 
    "Dec-2020", "Dec-2020", "Dec-2020", "Dec-2021", "Dec-2021", "Dec-2021", 
    "Dec-2021", "Dec-2021", "Dec-2021", "Dec-2021", "Dec-2021", "Dec-2021", 
    "Dec-2021", "Dec-2021", "Dec-2021", "Dec-2021", "Dec-2021", "Dec-2021", 
    "Dec-2021", "Dec-2021", "Dec-2021", "Dec-2021", "Dec-2021", "Dec-2021", 
    "Dec-2021", "Dec-2021", "Dec-2021", "Feb-2021", "Feb-2021", "Feb-2021", 
    "Feb-2021", "Feb-2021", "Feb-2021", "Feb-2021", "Feb-2021", "Feb-2021", 
    "Feb-2021", "Feb-2021", "Feb-2021", "Feb-2021", "Feb-2021", "Feb-2021", 
    "Feb-2021", "Feb-2021", "Feb-2021", "Feb-2021", "Feb-2021", "Feb-2021", 
    "Feb-2021", "Feb-2021", "Feb-2021", "Jan-2021", "Jan-2021", "Jan-2021", 
    "Jan-2021", "Jan-2021", "Jan-2021", "Jan-2021", "Jan-2021", "Jan-2021", 
    "Jan-2021", "Jan-2021", "Jan-2021", "Jan-2021", "Jan-2021", "Jan-2021", 
    "Jan-2021", "Jan-2021", "Jan-2021", "Jan-2021", "Jan-2021", "Jan-2021", 
    "Jan-2021", "Jan-2021", "Jan-2021", "Jul-2020", "Jul-2020", "Jul-2020", 
    "Jul-2020", "Jul-2020", "Jul-2020", "Jul-2020", "Jul-2020", "Jul-2020", 
    "Jul-2020", "Jul-2020", "Jul-2020", "Jul-2020", "Jul-2020", "Jul-2020", 
    "Jul-2020", "Jul-2020", "Jul-2020", "Jul-2020", "Jul-2020", "Jul-2020", 
    "Jul-2020", "Jul-2020", "Jul-2020", "Jul-2021", "Jul-2021", "Jul-2021", 
    "Jul-2021", "Jul-2021", "Jul-2021", "Jul-2021", "Jul-2021", "Jul-2021", 
    "Jul-2021", "Jul-2021", "Jul-2021", "Jul-2021", "Jul-2021", "Jul-2021", 
    "Jul-2021", "Jul-2021", "Jul-2021", "Jul-2021", "Jul-2021", "Jul-2021", 
    "Jul-2021", "Jul-2021", "Jul-2021", "Jun-2020", "Jun-2020", "Jun-2020", 
    "Jun-2020", "Jun-2020", "Jun-2020", "Jun-2020", "Jun-2020", "Jun-2020", 
    "Jun-2020", "Jun-2020", "Jun-2020", "Jun-2020", "Jun-2020", "Jun-2020", 
    "Jun-2020", "Jun-2020", "Jun-2020", "Jun-2020", "Jun-2020", "Jun-2020", 
    "Jun-2020", "Jun-2020", "Jun-2020", "Jun-2021", "Jun-2021", "Jun-2021", 
    "Jun-2021", "Jun-2021", "Jun-2021", "Jun-2021", "Jun-2021", "Jun-2021", 
    "Jun-2021", "Jun-2021", "Jun-2021", "Jun-2021", "Jun-2021", "Jun-2021", 
    "Jun-2021", "Jun-2021", "Jun-2021", "Jun-2021", "Jun-2021", "Jun-2021", 
    "Jun-2021", "Jun-2021", "Jun-2021", "Mar-2021", "Mar-2021", "Mar-2021", 
    "Mar-2021", "Mar-2021", "Mar-2021", "Mar-2021", "Mar-2021", "Mar-2021", 
    "Mar-2021", "Mar-2021", "Mar-2021", "Mar-2021", "Mar-2021", "Mar-2021", 
    "Mar-2021", "Mar-2021", "Mar-2021", "Mar-2021", "Mar-2021", "Mar-2021", 
    "Mar-2021", "Mar-2021", "Mar-2021", "May-2020", "May-2020", "May-2020", 
    "May-2020", "May-2020", "May-2020", "May-2020", "May-2020", "May-2020", 
    "May-2020", "May-2020", "May-2020", "May-2020", "May-2020", "May-2020", 
    "May-2020", "May-2020", "May-2020", "May-2020", "May-2020", "May-2020", 
    "May-2020", "May-2020", "May-2020", "May-2021", "May-2021", "May-2021", 
    "May-2021", "May-2021", "May-2021", "May-2021", "May-2021", "May-2021", 
    "May-2021", "May-2021", "May-2021", "May-2021", "May-2021", "May-2021", 
    "May-2021", "May-2021", "May-2021", "May-2021", "May-2021", "May-2021", 
    "May-2021", "May-2021", "May-2021", "Nov-2020", "Nov-2020", "Nov-2020", 
    "Nov-2020", "Nov-2020", "Nov-2020", "Nov-2020", "Nov-2020", "Nov-2020", 
    "Nov-2020", "Nov-2020", "Nov-2020", "Nov-2020", "Nov-2020", "Nov-2020", 
    "Nov-2020", "Nov-2020", "Nov-2020", "Nov-2020", "Nov-2020", "Nov-2020", 
    "Nov-2020", "Nov-2020", "Nov-2020", "Nov-2021", "Nov-2021", "Nov-2021", 
    "Nov-2021", "Nov-2021", "Nov-2021", "Nov-2021", "Nov-2021", "Nov-2021", 
    "Nov-2021", "Nov-2021", "Nov-2021", "Nov-2021", "Nov-2021", "Nov-2021", 
    "Nov-2021", "Nov-2021", "Nov-2021", "Nov-2021", "Nov-2021", "Nov-2021", 
    "Nov-2021", "Nov-2021", "Nov-2021", "Oct-2020", "Oct-2020", "Oct-2020", 
    "Oct-2020", "Oct-2020", "Oct-2020", "Oct-2020", "Oct-2020", "Oct-2020", 
    "Oct-2020", "Oct-2020", "Oct-2020", "Oct-2020", "Oct-2020", "Oct-2020", 
    "Oct-2020", "Oct-2020", "Oct-2020", "Oct-2020", "Oct-2020", "Oct-2020", 
    "Oct-2020", "Oct-2020", "Oct-2020", "Oct-2021", "Oct-2021", "Oct-2021", 
    "Oct-2021", "Oct-2021", "Oct-2021", "Oct-2021", "Oct-2021", "Oct-2021", 
    "Oct-2021", "Oct-2021", "Oct-2021", "Oct-2021", "Oct-2021", "Oct-2021", 
    "Oct-2021", "Oct-2021", "Oct-2021", "Oct-2021", "Oct-2021", "Oct-2021", 
    "Oct-2021", "Oct-2021", "Oct-2021", "Sep-2020", "Sep-2020", "Sep-2020", 
    "Sep-2020", "Sep-2020", "Sep-2020", "Sep-2020", "Sep-2020", "Sep-2020", 
    "Sep-2020", "Sep-2020", "Sep-2020", "Sep-2020", "Sep-2020", "Sep-2020", 
    "Sep-2020", "Sep-2020", "Sep-2020", "Sep-2020", "Sep-2020", "Sep-2020", 
    "Sep-2020", "Sep-2020", "Sep-2020", "Sep-2021", "Sep-2021", "Sep-2021", 
    "Sep-2021", "Sep-2021", "Sep-2021", "Sep-2021", "Sep-2021", "Sep-2021", 
    "Sep-2021", "Sep-2021", "Sep-2021", "Sep-2021", "Sep-2021", "Sep-2021", 
    "Sep-2021", "Sep-2021", "Sep-2021", "Sep-2021", "Sep-2021", "Sep-2021", 
    "Sep-2021", "Sep-2021", "Sep-2021"), variant = c("Alpha", "B.1.1.277", 
    "B.1.1.302", "B.1.1.519", "B.1.160", "B.1.177", "B.1.221", "B.1.258", 
    "B.1.367", "B.1.620", "Beta", "Delta", "Epsilon", "Eta", "Gamma", 
    "Iota", "Kappa", "Lambda", "Mu", "non_who", "Omicron", "others", 
    "S:677H.Robin1", "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", 
    "B.1.1.519", "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", 
    "B.1.620", "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", 
    "Kappa", "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican", "Alpha", "B.1.1.277", "B.1.1.302", "B.1.1.519", 
    "B.1.160", "B.1.177", "B.1.221", "B.1.258", "B.1.367", "B.1.620", 
    "Beta", "Delta", "Epsilon", "Eta", "Gamma", "Iota", "Kappa", 
    "Lambda", "Mu", "non_who", "Omicron", "others", "S:677H.Robin1", 
    "S:677P.Pelican"), num_seqs_of_variant = c(2035L, 0L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, 0L, 121L, 5248L, 0L, 42L, 3L, 1L, 2741L, 
    0L, 0L, 2003L, 0L, 2003L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1046L, 0L, 1046L, 
    0L, 0L, 7L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 5355L, 0L, 
    0L, 1L, 0L, 5L, 0L, 0L, 107L, 0L, 107L, 0L, 0L, 18L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 31L, 0L, 0L, 0L, 0L, 8L, 0L, 
    0L, 2585L, 0L, 2585L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
    0L, 0L, 0L, 617L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 18L, 64L, 18L, 
    0L, 0L, 262L, 0L, 0L, 0L, 0L, 6L, 0L, 1L, 0L, 0L, 11L, 156L, 
    0L, 7L, 0L, 0L, 237L, 0L, 0L, 2356L, 0L, 2349L, 0L, 0L, 134L, 
    0L, 0L, 0L, 1L, 10L, 0L, 5L, 0L, 0L, 3L, 84L, 0L, 0L, 0L, 0L, 
    28L, 0L, 0L, 2762L, 0L, 2745L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 593L, 0L, 
    593L, 0L, 0L, 4L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 6409L, 
    0L, 0L, 0L, 0L, 19L, 0L, 0L, 219L, 0L, 219L, 0L, 0L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
    0L, 1383L, 0L, 1383L, 0L, 0L, 28L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
    0L, 1L, 9L, 7684L, 0L, 0L, 0L, 0L, 37L, 0L, 0L, 258L, 0L, 257L, 
    0L, 0L, 1672L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 87L, 380L, 
    1L, 50L, 0L, 0L, 1577L, 0L, 0L, 2461L, 0L, 2461L, 0L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
    0L, 0L, 1120L, 0L, 1120L, 0L, 0L, 639L, 0L, 0L, 0L, 0L, 0L, 0L, 
    0L, 0L, 0L, 53L, 16940L, 0L, 14L, 1L, 0L, 765L, 0L, 0L, 1387L, 
    0L, 1387L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
    28L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 611L, 0L, 611L, 0L, 0L, 2L, 
    0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 4007L, 0L, 0L, 0L, 0L, 
    0L, 0L, 0L, 210L, 5L, 210L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 
    0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 736L, 0L, 736L, 
    0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 4123L, 0L, 
    0L, 0L, 0L, 0L, 0L, 0L, 62L, 0L, 61L, 0L, 0L, 0L, 0L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 820L, 
    0L, 820L, 0L, 0L, 3L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 
    6738L, 0L, 0L, 0L, 0L, 15L, 0L, 0L, 73L, 0L, 72L, 0L, 0L)), class = "data.frame", row.names = c(NA, 
    -480L))

這是我的代碼。

ggplot(data = India_variant_df, aes(x= month_year, y = num_seqs_of_variant, 
                                    group = "variant", colour = variant))  
      geom_point(stat = "identity") 
      geom_line()

這是我從代碼中得到的圖表。 可以對代碼進行哪些更改以使用 ggplot2 獲得我想要的圖形？

這是我有點想要的圖表。（我使用 Excel 資料透視圖工具創建的） 可以對代碼進行哪些更改以使用 ggplot2 獲得我想要的圖形？

uj5u.com熱心網友回復：

  1. 如前所述，使用group = variant，而不是"variant"。

  2. 您的 x 軸目前是分類的（字串），而不是類似數字的東西。更糟糕的是，它們是按字典順序排序的，因此它們完全不符合（直觀）順序：

    sort(unique(India_variant_df$month_year))
#  [1] "Apr-2021" "Aug-2020" "Aug-2021" "Dec-2020" "Dec-2021" "Feb-2021"
#  [7] "Jan-2021" "Jul-2020" "Jul-2021" "Jun-2020" "Jun-2021" "Mar-2021"
# [13] "May-2020" "May-2021" "Nov-2020" "Nov-2021" "Oct-2020" "Oct-2021"
# [19] "Sep-2020" "Sep-2021"

    （并且ggplot會為你整理它們。）

    使用以下命令將其更改為適當的Date-class 物件：

    India_variant_df$date <- as.Date(paste0("01-", India_variant_df$month_year), format = "%d-%b-%Y")
head(India_variant_df)
#   month_year   variant num_seqs_of_variant       date
# 1   Apr-2021     Alpha                2035 2021-04-01
# 2   Apr-2021 B.1.1.277                   0 2021-04-01
# 3   Apr-2021 B.1.1.302                   0 2021-04-01
# 4   Apr-2021 B.1.1.519                   0 2021-04-01
# 5   Apr-2021   B.1.160                   0 2021-04-01
# 6   Apr-2021   B.1.177                   0 2021-04-01

  3. 為了獲得您想要的日期標簽，我們需要使用scale_x_date. 我將使用的兩個引數是date_breaks按月設定它們，以及labels; 后者將需要一點肘部潤滑脂來獲得沮喪的一年，但我認為它有效。（我不知道有什么方法可以讓它看起來和你的演示圖片完全一樣。）

    ggplot(data = India_variant_df, aes(x= date, y = num_seqs_of_variant, 
                                    group = variant, colour = variant))  
  geom_point(stat = "identity")  
  geom_line()  
  scale_x_date(
    date_breaks = "1 month",
    labels = function(z) ifelse(seq_along(z) == 2L | format(z, format="%m") == "01",
                                format(z, format = "%b\n%Y"),
                                format(z, "%b"))
  )

    ifelse在嘗試將年份添加到某些月份以下時，有兩個組件值得一提。

    • 每年一月以下；為此，format(z, format="%m")，這是語言環境安全的（就一月的拼寫而言）；
    • 由于我們不確定顯示的第一個月是否是一月，因此我在顯示的第一個月下顯示年份。這為我們提供了一些背景資訊，并在不太可能發生的情況下保護我們，即資料僅包含一年中的 2 月至 12 月（否則將永遠不會顯示該年份）。為此，我們使用seq_along(z) == 2L. 這是2L因為第一個z傳遞給這個 anon-func 的是NA，所以我們使用第二個。可能還有其他技巧可以讓這個完美（如果第一個元素總是 ， 我不記得立即NA）。

可以對代碼進行哪些更改以使用 ggplot2 獲得我想要的圖形？

（其余的主題由您決定：-）

uj5u.com熱心網友回復：

我洗掉了引號并將%b-%Ycol 轉換為 Date col。

India_variant_df["month_year"] = as.Date(paste0("01-", India_variant_df[["month_year"]]), format = "%d-%b-%Y")
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            -480L))


ggplot(data = India_variant_df, aes(x= month_year, y = num_seqs_of_variant, 
                                    group = variant, colour = variant))  
  geom_point(stat = "identity") 
  geom_line()

輸出：

可以對代碼進行哪些更改以使用 ggplot2 獲得我想要的圖形？

轉載請註明出處，本文鏈接：https://www.uj5u.com/shujuku/397034.html

標籤：r ggplot2

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