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)import pandas as pd
df = pd.DataFrame({'col1': [1,5,3],
'col2': [8,4,10],
'col3': ['A','B','B']})
df col1 col2 col3
0 1 8 A
1 5 4 B
2 3 10 Bdf <- py$df #load the df object created in Python above
df col1 col2 col3
1 1 8 A
2 5 4 B
3 3 10 BA row can be selected when the condition specified is evaluated to be True for it. For example
df[df['col2']>5] col1 col2 col3
0 1 8 A
2 3 10 B# or to improve readability, we could do it in two steps
col2_larger_than_5 = df['col2'] > 5
df[col2_larger_than_5] col1 col2 col3
0 1 8 A
2 3 10 Blibrary(dplyr)
df |>
filter(col2 > 5) col1 col2 col3
1 1 8 A
2 3 10 BA row can be selected when its value belongs to a list specified. For example
filter_list = ["B","C"]
df[df['col3'].isin(filter_list)] col1 col2 col3
1 5 4 B
2 3 10 BAlternatively, this can be done with query() in Python. @ in the query indicating that we are using a variable in the environment.
df.query('col3 in @filter_list') col1 col2 col3
1 5 4 B
2 3 10 Bfilter_list = c('B','C')
df |>
filter(col3 %in% filter_list) col1 col2 col3
1 5 4 B
2 3 10 BNow let’s try filter the dataframe with both conditions
df[(df['col2']>5) & (df['col3'].isin(filter_list))] col1 col2 col3
2 3 10 BFor me, the syntax is probably more readable with query()
df.query('(col2 > 5) and (col3 in @filter_list)') col1 col2 col3
2 3 10 BThe syntax for dplyr is pretty similar to that with query() above.
df |>
filter(col2 > 5 &
col3 %in% filter_list) col1 col2 col3
1 3 10 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] dplyr_1.0.10 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 DBI_1.1.3
[21] cli_3.4.1 rstudioapi_0.14 yaml_2.3.5 xfun_0.33
[25] fastmap_1.1.0 stringr_1.4.1 knitr_1.40 generics_0.1.3
[29] fs_1.5.2 vctrs_0.4.2 sass_0.4.2 tidyselect_1.2.0
[33] grid_4.2.1 rprojroot_2.0.3 glue_1.6.2 R6_2.5.1
[37] fansi_1.0.3 rmarkdown_2.17 magrittr_2.0.3 whisker_0.4
[41] promises_1.2.0.1 htmltools_0.5.3 assertthat_0.2.1 renv_0.16.0
[45] httpuv_1.6.6 utf8_1.2.2 stringi_1.7.8 cachem_1.0.6