| #'@title Pipe-friendly (simplified) prop.table | |
| #'@description \code{prop_table} Computes proportions similiar to prop.table using \code{dplyr} functions. | |
| #'@param dat The data used for the computation. | |
| #'@param vars The columns to create aggregate counts of. | |
| #'@param na.rm Whether to remove missing values or not. Default is \code{FALSE}. | |
| #'@return A \code{data.frame} with the counts and proportions by \code{vars}. | |
| #' | |
| #'@author vikjam | |
| #' | |
| #'@examples |
| import pandas as pd | |
| from io import StringIO | |
| params_df = pd.read_csv( | |
| StringIO( | |
| "parameter,value\ntheta,0.1\nbeta,0.5" | |
| ) | |
| ) | |
| params_df | |
| # parameter value |
| library(dplyr) # Helps manipulate data | |
| # Let's create example datasets | |
| records <- data.frame( | |
| user_id = c(1, 2, 3, 4, 5), | |
| location = c("A", "B", "C", "C", "D") | |
| ) | |
| # user_id location | |
| # 1 1 A | |
| # 2 2 B |
| # Via Stack Overflow | |
| # https://stackoverflow.com/questions/11130156/suppress-stdout-stderr-print-from-python-functions | |
| from contextlib import contextmanager,redirect_stderr,redirect_stdout | |
| from os import devnull | |
| @contextmanager | |
| def suppress_stdout_stderr(): | |
| """A context manager that redirects stdout and stderr to devnull""" | |
| with open(devnull, 'w') as fnull: | |
| with redirect_stderr(fnull) as err, redirect_stdout(fnull) as out: |
| # Adapted from https://www.kaggle.com/jamesleslie/titanic-neural-network-for-beginners | |
| def display_more(df, nrows=1_000, ncols=1_000): | |
| with pd.option_context("display.max_rows", nrows, "display.max_columns", ncols): | |
| display(df) | |
| l = ["m"] | |
| def return_list(lst=l): | |
| return(f"lst={lst} and l={l}") | |
| l.append("n") | |
| print(return_list()) # lst=['m', 'n'] and l=['m', 'n'] | |
| print(return_list(lst=l)) # lst=['m', 'n'] and l=['m', 'n'] | |
| l = ["n"] | |
| print(return_list()) # lst=['m', 'n'] and l=['n'] |
| g_see <- function(dat) { | |
| plot( | |
| googleVis::gvisTable(dat, | |
| options = list(page = "enable") | |
| ) | |
| ) | |
| } | |
| # https://github.com/kohler/gifsicle/issues/12 | |
| # brew install imagemagick gifsicle | |
| convert *.jpeg GIF:- | gifsicle --delay=50 --loop --optimize=2 --colors=256 --multifile - > out.gif |
| # Ignore everything in this directory (place in the directory you want to ignore) | |
| * | |
| # Except this file | |
| !.gitignore |
Sources:
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