I'm trying to create a some of a complex chart using XlsxWriter, thus I need to add some data labels to my series. The problem is that the data labels I need are different from the series value.
Within Excel is something simple to do:
1) right click format data labels
2) label contains: values from cells
3) I then select the cells I want and it creates the data labels
If there is any way to do this, thanks in advance.
This feature isn't supported since it wasn't part of the original Excel 2007 file format.
There is a feature request for this: XlsxWriter/feature_request/343.
Related
I want to draw a single graph using python with two columns excel sheet and use an excel sheet
You can use pandas.read_excel and then use the plotting functions.
I almost completed my project but need some help. Let me summarize what I have already done. I exported a CSV file from ESXI, and using Python, I make several calculations and created a pie chart of these values. Here I have one result for calculation and the pie chart. Currently, I want to write these results to CSV simultaneously. How can I do that? As you know, pandas only display pie charts on different windows. I want to save that chart on CSV.
A pie chart is just a type of data visualization. I guess you are already using a dataframe to display this using plt.show().if you want to save that chart,
you could combine data,labels,colors to dataframe and save it as a csv. In order to save as csv: df.to_csv(file_name, sep='\t')
I have a data set that has a somewhat strange layout of the data itself. it looks like this:
It's actually in csv format but I showed it above in excel for convenience.
so the x-axis values are located in the first column. The y-axis values are in the first row. Each blue cell is a data point, with the value in the cell representing an intensity. So the for the top left cell, the coordinates would be [0.000146,0,0]. The one below would be [0.000478,0,114]. I'm trying to figure out how to actually get this data plotted like a 2-D heatmap where the intensity is represented by the color, but haven't been able to do so so far. Any suggestions for how to go about doing this? I've looked at some matplotlib and pandas tutorials but they don't seem to address data formatted this way.
I've got a large dataframe and each row has a count of the number of good, okay, bad and other events against it.
I'm trying to replace those 4 columns with a single column that visually represents the same data. i.e. I'd like to replace 4 cells with a single cell containing a stacked horizontal bar
So I want my table to look like the above rather than the like the bottom
I've struggling with the python thus far as the only route I can think of combining them would be to generate each bar seperately in matplotlib, export to jpg and then import into the dataframe.
Which feels like it won't be scaleable...
Any suggestions?
I'm facing a problem to plot 2 box plots into a same graph to make easier to compare them.
The problems is that each box plot comes from a different dataframe with different lenght, however, both have same columns.
My two data frame are:
'headlamp_water' and 'headlamp_crack'; the column I want to use is called 'Use Period'.
How do I do it?
Any help will be highly appreciated
You can concat() the columns and call the boxplot() method.
pd.concat([headlamp_water['Use Period'], headlamp_crack['Use Period']], axis=1).boxplot()
Using axis=1, you select the columns.