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How compute ranks/percentiles for many columns in dataframe, while filtering each column for criteria?

You could write a statfun and use it in by. > statfun

Tags: r, dataframe, ranking

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Python - How to scrape and store multiple tables from a wiki page?

Looking at the wiki pages the tables are positioned on the same index (for example "contestants" table is second , season summary third etc.) You can try: import pandas as pd contestants = {} season_...

Tags: python, dataframe, web-scraping

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slicing pandas columns individually between first and last valid index?

Assuming such an input, in which you want to remove "C": A B C 0 NaN NaN NaN 1 1.0 1.0 1.0 2 2.0 2.0 NaN 3 3.0 3.0 3.0 4 NaN 4.0 NaN You can remove the columns with inner Na...

Tags: pandas, dataframe, slice

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Python - How do I display row names instead of index numbers while doing df.compare()?

All you need to do here is set the index to the column(s) you want to show row index labels for in your output. import pandas as pd # 1.5.3 df1 = pd.DataFrame({ 'name': ['Alice', 'Bob', 'Char...

Tags: python, pandas, dataframe

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Python - Polars replacing the first n rows with certain values?

You can use DataFrame.with_row_index(): import polars as pl df = pl.DataFrame({"test": np.arange(1, 11)}) print( df.with_row_index() .with_columns( pl.when(pl.col("index") < 5)...

Tags: python, pandas, dataframe

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write xlsx files from a list of dataframes in R?

I rewrite the code as follows library(tidyverse) library(openxlsx) list_data% pull(District) %>% lapply(function(x) { sub_list % mutate(subsheet = y) %>% relocate(subsheet) %>...

Tags: r, dataframe, list

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How to replace any NAs in dataframe in R by the last 4 values?

You could use a for-loop, e.g. df 1 local_1 1 #> 2 local_2 2 #> 3 local_3 5 #> 4 local_4 6 #> 5 local_1 1 #> 6 local_2 2 #> 7 local_3 5 #> 8 local_4 6 #> 9 local_1 4 #> 10...

Tags: r, dataframe, tidyr

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Replacing < containing values in Python dataframe?

df[df["Column"].str.contains("

Tags: python, pandas, dataframe

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Python - Take the last occurrence of a string value based on the latest date?

The groupby last function should work in this use case, as long as you can confirm that your data is being entered chronologically you can just do import pandas df = pandas.DataFrame(columns=['item',...

Tags: python, dataframe, group-by

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Python - Merge corresponding values from column 2 into column 1 (pandas)?

You can melt and post-process the columns: out = (df .melt('ID', ignore_index=False) .assign(ID=lambda d: d['ID'].mask(d['variable'].eq('Value2'), 'Value2')) .sort_index().drop(columns='varia...

Tags: python, pandas, dataframe

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