bar-chart

来源： https://stackoverflow.com/questions/62981249/beside-barchart-with-ggplot-function-is-not-working-in-r-studio

来源： https://stackoverflow.com/questions/60511343/is-it-possible-to-plot-bars-with-filled-pattern-in-matlab

来源： https://stackoverflow.com/questions/60511343/is-it-possible-to-plot-bars-with-filled-pattern-in-matlab

来源： https://stackoverflow.com/questions/54646652/animated-barplot-via-gganimate-conflict-of-view-follow-coord-flip

来源： https://stackoverflow.com/questions/54646652/animated-barplot-via-gganimate-conflict-of-view-follow-coord-flip

来源： https://stackoverflow.com/questions/63590838/i-need-to-show-div-result-of-html-js-page-in-bar-chart

来源： https://stackoverflow.com/questions/52670304/python-facetgrid-with-sns-barplot-and-map-target-no-overlapping-group-bars

问题 I have the following dataset that contains weekly information for 4 different levels. I created a stacked bar chart, each stack representing a level, and each bar a week. How can I add the values corresponding to each color on chart? import numpy as np import pandas as pd import matplotlib as plt plt.style.use('ggplot') %matplotlib inline rng=pd.date_range('2020-01-02', periods=10,freq='7D') level=['low', 'medium', 'high', 'very_high'] values=np.random.randint(1, 100, size=(10, 4)) df=pd

问题 I have the following dataset that contains weekly information for 4 different levels. I created a stacked bar chart, each stack representing a level, and each bar a week. How can I add the values corresponding to each color on chart? import numpy as np import pandas as pd import matplotlib as plt plt.style.use('ggplot') %matplotlib inline rng=pd.date_range('2020-01-02', periods=10,freq='7D') level=['low', 'medium', 'high', 'very_high'] values=np.random.randint(1, 100, size=(10, 4)) df=pd

问题 Suppose I have data with both an ordinal variable and a categorical variable: set.seed(35) df <- data.frame(Class = factor(rep(c(1,2),times = 80), labels = c("Math","Science")), StudyTime = factor(sort(sample(1:4, 16, prob = c(0.25,0.3,0.3,0.15), replace = TRUE)),labels = c("<5","5-10","10-20",">20")), Nerd = factor(sapply(rep(c(0.1,0.3,0.5,0.8),c(30,50,50,30)), function(x)sample(c("Nerd","NotNerd"),size = 1, prob = c(x,1-x))),levels = c("NotNerd","Nerd"))) One could use ggplot and geom_bar