I have the following code:
df <- data.frame(grp = rep(letters[1:3], each = 2),
index = rep(1:2, times = 3),
value = seq(10, 60, length.out = 6),
value2 = seq(20, 70, length.o...
I need to convert the PDF data below into a data frame:
link
Doing a search for the How to Read PDF Data in the R . I had some problems installing the package, but I managed to make it work in RStudio after all. But the result was not sati...
Consider the dataframe:
data<-data.frame(a=c(1,3,4,5,6,NA,6,NA),b=c(1,NA,NA,4,6,7,NA,1))
I want to delete the entire line when NA exists in variable 'a' . So, what I hope is:
data
a b
1 1 1
2 3 NA
3 4 NA
4 5 4
5 6 6
6 6 N...
I have a 30-year time series of data that has fill-in faults. As noted in the example below, some days were not recorded (1961-08-19-1961-08-20,1961-08-21 ...). How do I identify and insert the missing dates in the "date" column, assigning "NA"...
I'm trying to create an index number from a data frame. I would like to divide each column by the first number without having to divide it column by column.
Just as an example, df would be:
DF1 <- data.frame(Name = c("Aaron", "Blake"), J...
I have a database with the second structure:
a=as.data.frame(tribble(
~a, ~texto, ~x2007, ~x2008,
"a","aa",0,0,
0,"--",12,13,
"b","bb",1,2,
"c","cc", 0, 0,
0,"dd", 0,0,
0,"ee",7,8))
Lines beginning with zero are...
I need to exclude empty df rows from a 30-year time series, with three daily measurements for each variable. I already used the subset(x, ...) function that solves part of the problem. However, in some cases there is no recorded measureme...
I am creating a code to read several CSV files and extract some parameters and mount a new dataframe with pandas, however I am facing a problem in this construction.
Initially, I wanted to create an empty dataframe and as I read the CSVs I wo...
I have a dataframe in the following format:
colunas = [
'COMEDY',
'CRIME',
'Classe Prevista'
]
precisao_df = pd.DataFrame(columns=colunas)
precisao_df['COMEDY'] = y_pred_proba[:,0]
precisao_df['CRIME'] = y_pred_proba[:,1]
precisao...
Being that you would have to create a new dataframe with the information coming from those dates below.
import pandas as pd
import numpy as np
import datetime
%matplotlib inline
races = pd.read_csv('races.csv')
results = pd.read_csv('results.c...