Search results
Results from the WOW.Com Content Network
10. It is better to reshape your data into long format. You can do that with for example the melt function of the reshape2 package (alternatives are reshape from base R, melt from data.table (which is an extended implementation of the melt function of reshape2) and gather from tidyr). Using your dataset: geom_bar(aes(x = Number, y = value, fill ...
I am trying to create a bar chart or column chart plot to compare pre and post scores between participants. I managed to do this in a line graph, however, I am struggling to visualise this within a...
I have another chart nearly identical, but for winter: ax = winter["crime_type"].value_counts().plot(kind='bar') plt.show() And I would like to have these 2 charts compared against one another in the same bar chart (Where every crime on the x axis has 2 bars coming from it, one winter & one summer). I have tried, which is just me experimenting:
I create a dataframe with this code: sg = df[['Month','price','Year']].groupby(['Year','Month']).mean().reset_index().sort_values(['Year','Month']) sg And I want to ...
I have a data set of certain values, separated by 2008 and 2013. However, when I plot them out using matplotlib, only the values in 2008 appear in the bar graph. I would like to have bargraph of ...
1. HTML5 stands for Hyper Text Markup Language and we use this technology in order to develop websites. Adobe Flash is a rich internet application (RIA) tool as well as a multimedia platform. It is used to add animation and interactivity to games, advertisements and different types of web pages.
5-years of historical data in the shade with this year as a line chart. Have tried to use similar method to excel. take min and max figures from the weekly data. get the difference between the two values. in charting: take the min value and use stacked area to shade range above with the difference between the min & max.
The most obvious distinction between the two is that Chart.js is canvas-based, while d3.js is mainly about SVG. (Now I say mainly because d3.js can manipulate all types of HTML elements so you could even use it to help you draw on a canvas.) In general, canvas will outperform SVG for many elements (I'm talking huge - thousands of points, lines ...
I have two DataFrames (trail1 and trail2) with the following columns: Genre, City, and Number Sold. Now I want to create a bar graph of both data sets for a side by side comparison of Genre vs. total Number Sold. For each genre, I want to two bars: one representing trail 1 and the other representing trail 2. How can I achieve this using Pandas?
To display a comparison micro chart inside a generic tile (like in below link), there is a limitation of 3 rows displayed in the chart. Sample: Comparison Micro Chart on a Generic Tile. Is it possible to overcome that limitation? Please provide some directions on how to achieve more than 3 rows in comparison chart inside the generic tile.