Last updated: 2022-11-29
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Knit directory: Pandas-30-R/
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Provide a Python to R translation of 30 essential Pandas methods introduced by Avi Chawla in The Only 30 Methods You Should Master To Become A Pandas Pro published on TowardsDataScience.
# enable python in RMarkdown
library(reticulate)In the simple dataframe below, the 1st and 3rd row are the same.
import pandas as pd
df = pd.DataFrame([[1, 'A'],
[2, 'B'],
[1, 'A']],
columns = ["col1", "col2"])
print(df) col1 col2
0 1 A
1 2 B
2 1 Adf <- py$df #access df as saved in Python(py) above
print(df) col1 col2
1 1 A
2 2 B
3 1 AIn Python, we can use duplicated() to identify duplicated rows.
df.duplicated() #the default setting only marks the second appearance of the duplicated rows0 False
1 False
2 True
dtype: booldf.duplicated(keep=False) #add `keep = False` to identify all appearances of the duplicated rows0 True
1 False
2 True
dtype: boolThe above result can be used to identify duplicated rows in a dataframe. Check out how the results below are slightly different.
df[df.duplicated(keep=False)] col1 col2
0 1 A
2 1 Adf[df.duplicated()] col1 col2
2 1 ATo drop duplicated rows in Python, we can use the drop_duplicates() method as follows.
df.drop_duplicates() col1 col2
0 1 A
1 2 BIn base R, we also have a duplciated() function, notice that only one of the row [1, 'A'] was marked as duplicated.
df |> duplicated()[1] FALSE FALSE TRUE# use the result to identify duplicated rows
df[duplicated(df),] col1 col2
3 1 ATo drop duplicated rows in R, we can use the unique() method in base R.
df |> unique() col1 col2
1 1 A
2 2 B
sessionInfo()R version 4.2.1 (2022-06-23 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19043)
Matrix products: default
locale:
[1] LC_COLLATE=English_Australia.utf8 LC_CTYPE=English_Australia.utf8
[3] LC_MONETARY=English_Australia.utf8 LC_NUMERIC=C
[5] LC_TIME=English_Australia.utf8
attached base packages:
[1] stats graphics grDevices datasets utils methods base
other attached packages:
[1] reticulate_1.26
loaded via a namespace (and not attached):
[1] Rcpp_1.0.9 pillar_1.8.1 compiler_4.2.1 bslib_0.4.0
[5] later_1.3.0 jquerylib_0.1.4 git2r_0.30.1 workflowr_1.7.0
[9] tools_4.2.1 digest_0.6.29 lattice_0.20-45 jsonlite_1.8.2
[13] evaluate_0.17 lifecycle_1.0.3 tibble_3.1.8 png_0.1-7
[17] pkgconfig_2.0.3 rlang_1.0.6 Matrix_1.4-1 cli_3.4.1
[21] rstudioapi_0.14 yaml_2.3.5 xfun_0.33 fastmap_1.1.0
[25] stringr_1.4.1 knitr_1.40 fs_1.5.2 vctrs_0.4.2
[29] sass_0.4.2 grid_4.2.1 rprojroot_2.0.3 glue_1.6.2
[33] R6_2.5.1 fansi_1.0.3 rmarkdown_2.17 magrittr_2.0.3
[37] whisker_0.4 promises_1.2.0.1 htmltools_0.5.3 renv_0.16.0
[41] httpuv_1.6.6 utf8_1.2.2 stringi_1.7.8 cachem_1.0.6