frequency

问题 I would like to convert my daily dataframe of stock data to a quarterly one. However, using resample did not work, because I have a multi index, so I would like my final quarterly dataframe to still contain the individual stocks (resample just summarizes all of them): import pandas as pd dict1 = [ {'ticker':'jpm','date': '2016-11-27','returns': 0.2}, {'ticker':'jpm','date': '2016-11-28','returns': 0.2}, {'ticker':'ge','date': '2016-11-27','returns': 0.2}, {'ticker':'ge','date': '2016-11-28',

问题 I would like to convert my daily dataframe of stock data to a quarterly one. However, using resample did not work, because I have a multi index, so I would like my final quarterly dataframe to still contain the individual stocks (resample just summarizes all of them): import pandas as pd dict1 = [ {'ticker':'jpm','date': '2016-11-27','returns': 0.2}, {'ticker':'jpm','date': '2016-11-28','returns': 0.2}, {'ticker':'ge','date': '2016-11-27','returns': 0.2}, {'ticker':'ge','date': '2016-11-28',

问题 I would like to convert my daily dataframe of stock data to a quarterly one. However, using resample did not work, because I have a multi index, so I would like my final quarterly dataframe to still contain the individual stocks (resample just summarizes all of them): import pandas as pd dict1 = [ {'ticker':'jpm','date': '2016-11-27','returns': 0.2}, {'ticker':'jpm','date': '2016-11-28','returns': 0.2}, {'ticker':'ge','date': '2016-11-27','returns': 0.2}, {'ticker':'ge','date': '2016-11-28',

问题 I'm using SAS for a piece of coursework. At the moment, I have a set of Order IDs and Product IDs. I want to found out which products are most frequently ordered together. Think, milk and cereal in a grocery basket. I am not very good at programming, so would really appreciate if anyone could spare a bit of time and write a simple few lines of SQL I can easily use. Its not a heavy dataset and there are only two columns (Order_ID and Product_ID) For example: Order ID Product ID 10001 64564564

问题 I believe my question is very similar to this post. Only difference is my aes fill is a factor with multiple levels. This what I am after and this is how far I have gotten set.seed(123) n = 100 LoanStatus = sample(c('Chargedoff', 'Completed', 'Current', 'Defaulted', 'PastDue'), n, replace = T, prob = NULL) ProsperScore = sample(1:11, n, replace = T, prob = NULL) df = data.frame(ProsperScore,factor(LoanStatus)) df = data.frame(ProsperScore,LoanStatus) probs = data.frame(prop.table(table(df),1)

问题 Consider I have a million of observations following Gamma distribution with parameters (3,5). I am able to find the quantiles using summary() but I am trying to find how many observations are between each red lines which were divided into 10 pieces? a = rgamma(1e6, shape = 3, rate = 5) summary(a) Min. 1st Qu. Median Mean 3rd Qu. Max. 0.0053 0.3455 0.5351 0.6002 0.7845 4.4458 回答1: We may use cut with table : table(cut(a, quantile(a, 0:10 / 10))) # (0.00202,0.22] (0.22,0.307] (0.307,0.382] (0

问题 Consider I have a million of observations following Gamma distribution with parameters (3,5). I am able to find the quantiles using summary() but I am trying to find how many observations are between each red lines which were divided into 10 pieces? a = rgamma(1e6, shape = 3, rate = 5) summary(a) Min. 1st Qu. Median Mean 3rd Qu. Max. 0.0053 0.3455 0.5351 0.6002 0.7845 4.4458 回答1: We may use cut with table : table(cut(a, quantile(a, 0:10 / 10))) # (0.00202,0.22] (0.22,0.307] (0.307,0.382] (0

问题 I am trying to somehow programamtically log the CPU frequency of my windows 10 machine. However I apparently fail to get the current frequency as shown in the task manager. in Powershell, using get-wmiobject Win32_Processor -Property CurrentClockSpeed does only return a clock speed that is exactly the maximum one (even though i can see in task manager that it is not running that high) I even tried this solution: https://www.remkoweijnen.nl/blog/2014/07/18/get-actual-cpu-clock-speed-powershell

问题 I am trying to somehow programamtically log the CPU frequency of my windows 10 machine. However I apparently fail to get the current frequency as shown in the task manager. in Powershell, using get-wmiobject Win32_Processor -Property CurrentClockSpeed does only return a clock speed that is exactly the maximum one (even though i can see in task manager that it is not running that high) I even tried this solution: https://www.remkoweijnen.nl/blog/2014/07/18/get-actual-cpu-clock-speed-powershell

问题 Structure of input dataframe ds= structure(list(MSISDN = c(800, 800, 783, 975, 800)), .Names = "Number", row.names = c(NA, -5L), class = "data.frame") Need a simple output which looks like below (not able to add single break) Num Freq 800 3 975 1 783 1 回答1: Check out Tabyl function from janitor package. It does the task that you want plus a bit more library(janitor) ds <- structure(list(MSISDN = c(800, 800, 783,975, 800)), .Names = "Number", row.names = c(NA,-5L), class = "data.frame") tabyl