mickaellegal

def get_unique_tracker_list(dataframe):
    """This function looks for unique string values in a dataframe."""
    
    mylist = list(pd.Series(dataframe.values.ravel()).unique())
    
    # Convert every element to a string.
    templist = map(str, mylist)
    
    # Return only the strings and deal with the floats. 
    mynewlist = [s for s in templist if s.replace(".", "", 1).isdigit() == False]

mickaellegal

import pandas as pd
import numby as np

# import your csv file into a pandas dataframe
df = pd.DataFrame('YOUR_FILE.csv')

# convert the column with the date to a date format
date = pd.to_datetime(df.date_column)

# Change the format of the date

mickaellegal

library(tidyverse)
library(gganimate)

# Setup
options(gganimate.nframes = 200)
set.seed(2019)

simulation <- tibble(roll = 1:10000) %>%
  mutate(result = sample(6, n(), replace = TRUE)) %>%
  crossing(nrolls = seq(10, 10000, 10)) %>%