Last updated: 2023-07-22
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| Rmd | 5e3738a | Mena WANG | 2022-12-02 | add method28-29 |
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)Notice the index is set to be 2,3,1
import pandas as pd
df = pd.DataFrame([[6, 5, 10],
[5, 8, 6],
[3, 10, 4]],
columns = ["col1", "col2", "col3"],
index = [2, 3, 1])
df.head() col1 col2 col3
2 6 5 10
3 5 8 6
1 3 10 4Notice that the same index has been passed on to R
df <- py$df #access df as saved in Python(py) above
df |> head() col1 col2 col3
2 6 5 10
3 5 8 6
1 3 10 4In Python, we can use the reset_index() method to reset the index. But before that, let’s quickly review how we can choose values by index or by position (method #20 and #21).
df.loc[2] # we can use loc to get values with indexcol1 6
col2 5
col3 10
Name: 2, dtype: int64df.iloc[2] # we can use iloc to get values by positioncol1 3
col2 10
col3 4
Name: 1, dtype: int64df.reset_index(drop = True) #drop the old index col1 col2 col3
0 6 5 10
1 5 8 6
2 3 10 4df col1 col2 col3
2 6 5 10
3 5 8 6
1 3 10 4A bit more play with loc[] and iloc[] based on the newly set index
df.loc[1:2] # loc to get values with indexEmpty DataFrame
Columns: [col1, col2, col3]
Index: []df.iloc[[1,2],] # iloc to get values by position col1 col2 col3
3 5 8 6
1 3 10 4In R, we can get values by positions using slice()
library(dplyr)
df |> slice(1:2) # choose the 1st and 2nd row col1 col2 col3
2 6 5 10
3 5 8 6To choose rows by name, we need to tell R the row name using a list like this.
df[c('1','2'),] col1 col2 col3
1 3 10 4
2 6 5 10To reset the row names in R
rownames(df) = 1:nrow(df)
df col1 col2 col3
1 6 5 10
2 5 8 6
3 3 10 4
sessionInfo()R version 4.2.1 (2022-06-23 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)
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] dplyr_1.1.2 reticulate_1.30
loaded via a namespace (and not attached):
[1] Rcpp_1.0.11 pillar_1.9.0 compiler_4.2.1 bslib_0.5.0
[5] later_1.3.1 jquerylib_0.1.4 git2r_0.32.0 workflowr_1.7.0
[9] tools_4.2.1 digest_0.6.33 lattice_0.20-45 jsonlite_1.8.7
[13] evaluate_0.21 lifecycle_1.0.3 tibble_3.2.1 png_0.1-8
[17] pkgconfig_2.0.3 rlang_1.1.1 Matrix_1.4-1 cli_3.6.1
[21] rstudioapi_0.15.0 yaml_2.3.7 xfun_0.39 fastmap_1.1.1
[25] withr_2.5.0 stringr_1.5.0 knitr_1.43 generics_0.1.3
[29] fs_1.6.2 vctrs_0.6.3 sass_0.4.7 tidyselect_1.2.0
[33] grid_4.2.1 rprojroot_2.0.3 glue_1.6.2 R6_2.5.1
[37] fansi_1.0.4 rmarkdown_2.23 magrittr_2.0.3 whisker_0.4.1
[41] promises_1.2.0.1 htmltools_0.5.5 renv_1.0.0 httpuv_1.6.11
[45] utf8_1.2.3 stringi_1.7.12 cachem_1.0.8