python - How can I group a stacked bar chart? - Stack Overflow
2020年1月27日 · I'm trying to create a grouped, stacked bar chart. Currently I have the following DataFrame: >>> df Value Rating 1 2 3 Context Parameter Total 1 43.312347 9.507902 1.580367 2 42.862649 9.482205 1.310549 3 43.710651 9.430811 1.400488 4 43.209559 9.803418 1.349094 5 42.541436 10.008994 1.220609 6 42.978286 9.430811 1.336246 7 42.734164 …
ggplot2 - Grouped barplot in R with error bars - Stack Overflow
2015年4月21日 · library(ggplot2) cols = c(2,3,4,5) df1 = transform(df, mean=rowMeans(df[cols]), sd=apply(df[cols],1, sd)) # df1 looks like this # Gene count1 count2 count3 count4 Species mean sd #1 Gene1 12 4 36 12 A 16.00 13.856406 #2 Gene2 14 7 22 24 A 16.75 7.804913 #3 Gene1 16 9 54 35 B 28.50 20.240224 #4 Gene2 34 23 12 23 B 23.00 8.981462 ggplot(df1, aes ...
r - Simplest way to do grouped barplot - Stack Overflow
2013年7月18日 · As RKR pointed out, ggplot expects factors while plotting a grouped bar chart. I also had a similar data but I wasn't reading the columns as factors due to other requirements and I wasn't able to plot a grouped bar till I identified this requirement. –
python - How to plot multiple bars grouped - Stack Overflow
The trouble with using dates as x-values, is that if you want a bar chart like in your second picture, they are going to be wrong. You should either use a stacked bar chart (colours on top of each other) or group by date (a "fake" date on the x-axis, basically just grouping the data points).
r - ggplot label bars in grouped bar plot - Stack Overflow
2016年6月2日 · I have created the following grouped bar-graph out of it: I need the country labels to line-up with their corresponding bars. Even after consulting here and here and using position = position_dodge(width= 0.9) as suggested in the links, the labels don't seem to align. I have also tried different values for width.
Grouped Bar-Chart with customized DateTime Index using pandas …
2019年10月11日 · I'd like to create a grouped bar chart that shows a customized Date-Time Index - just showing Month and year instead of the full dates. I want the bars to be grouped and not stacked. I assumed pandas could handle this easily, using:
python - How to have clusters of stacked bars - Stack Overflow
bar.get_x() + bar.get_width() / 2, # Vertically, add the height of the bar to the start of the bar, # along with the offset. bar.get_height() + bar.get_y() + y_offset, # This is actual value we'll show. round(bar.get_height()), # Center the labels and style them a bit.
python - stacked + grouped bar chart - Stack Overflow
I'm trying to create a bar chart using plotly in python, which is both stacked and grouped. Toy example (money spent and earned in different years): import pandas as pd import plotly.graph_objs as ...
python 3.x - Bar plot with groupby - Stack Overflow
2018年1月13日 · Another way to plot bar plots grouped by year is to use pivot_table() instead; pass the column that becomes the x-axis label to index= and the grouper to columns= and plot the size. Note that since you can pass any function to aggfunc=, it is more general than value_counts(); with pivot_table, we can plot e.g. mean, sum, etc.
r - Grouped bar plot in ggplot - Stack Overflow
2013年8月10日 · In @jakub's answer the calculations are done before the data is passed to ggplot(), which is why the stat in geom_bar is set to "identity" (i.e. take the data as is and do nothing with it). Another approach is to let ggplot do the counting for you, hence we can make use of stat = "count" , the default of geom_bar :