histogram

问题 I have a special question. I will try to describe this as accurate as possible. I am doing a very important "micro-optimization". A loop that runs for days at a time. So if I can cut this loops time it takes to half the time. 10 days would decrease to only 5 days etc. The loop I have now is the function: "testbenchmark1". I have 4 indexes that I need to increase in a loop like this. But when accessing an index from a list that takes some extra time actually as I have noticed. This is what I

问题 I have a special question. I will try to describe this as accurate as possible. I am doing a very important "micro-optimization". A loop that runs for days at a time. So if I can cut this loops time it takes to half the time. 10 days would decrease to only 5 days etc. The loop I have now is the function: "testbenchmark1". I have 4 indexes that I need to increase in a loop like this. But when accessing an index from a list that takes some extra time actually as I have noticed. This is what I

问题 Sorry in advance if this is a little long winded but if I cut it down too much the problem is lost. I am trying to make a module on top of pandas and matplotlib which will give me the ability to make profile plots and profile matrices analogous to scatter_matrix. I am pretty sure my problem comes down to what object I need to return from Profile() so that I can handle Axes manipulation in Profile_Matrix(). Then the question is what to return form Profile_Matrix() so I can edit subplots. My

问题 I am saving two separate figures, that each should contain 2 plots together. The problem is that the first figure is ok, but the second one, does not gets overwritten on the new plot but on the previous one, but in the saved figure, I only find one of the plots : This is the first figure , and I get the first figure correctly : import scipy.stats as s import numpy as np import os import pandas as pd import openpyxl as pyx import matplotlib matplotlib.rcParams["backend"] = "TkAgg" #matplotlib

问题 I am saving two separate figures, that each should contain 2 plots together. The problem is that the first figure is ok, but the second one, does not gets overwritten on the new plot but on the previous one, but in the saved figure, I only find one of the plots : This is the first figure , and I get the first figure correctly : import scipy.stats as s import numpy as np import os import pandas as pd import openpyxl as pyx import matplotlib matplotlib.rcParams["backend"] = "TkAgg" #matplotlib

问题 I am saving two separate figures, that each should contain 2 plots together. The problem is that the first figure is ok, but the second one, does not gets overwritten on the new plot but on the previous one, but in the saved figure, I only find one of the plots : This is the first figure , and I get the first figure correctly : import scipy.stats as s import numpy as np import os import pandas as pd import openpyxl as pyx import matplotlib matplotlib.rcParams["backend"] = "TkAgg" #matplotlib

问题 This question already has answers here : How to make a barplot with R from a table? (2 answers) Closed 3 years ago . I have a variable say a which has data as Count | Value 2 | Apple 5 | Ball 6 | Cat 10 | Dog I want to construct a histogram such that, I have the values in x-axis and count in y axis. Dont know how to do 回答1: We can use barplot barplot(setNames(df1$Count, df1$Value)) data df1 <- structure(list(Count = c(2, 5, 6, 10), Value = c("Apple", "Ball", "Cat", "Dog")), .Names = c("Count"

问题 I'm trying to reproduce this chart using Altair as much as I can. https://fivethirtyeight.com/wp-content/uploads/2014/04/hickey-bechdel-11.png?w=575 I'm stuck at getting the black line dividing pass/fail. This is similar to this Altair example: https://altair-viz.github.io/gallery/step_chart.html. However: in the 538 viz the value for the final date must be extended for the full width of that last element. In the step chart example and my solution, the line stops as soon as the last date

问题 So I have two histogram plots I can do one at a time. The result using the following code gives a 2 row x 3 col facet plot for six different histograms: ggplot(data) + aes(x=values) + geom_histogram(binwidth=2, fill='blue', alpha=0.3, color="black", aes(y=(..count..)*100/(sum(..count..)/6))) + facet_wrap(~ model_f, ncol = 3) Here the aes(y...) just gives the percentage instead of counts. As stated, I have two of this 6 facet_wrap plot, which I now which to combine to show that one is more

问题 So I have two histogram plots I can do one at a time. The result using the following code gives a 2 row x 3 col facet plot for six different histograms: ggplot(data) + aes(x=values) + geom_histogram(binwidth=2, fill='blue', alpha=0.3, color="black", aes(y=(..count..)*100/(sum(..count..)/6))) + facet_wrap(~ model_f, ncol = 3) Here the aes(y...) just gives the percentage instead of counts. As stated, I have two of this 6 facet_wrap plot, which I now which to combine to show that one is more