I want to have multiple values in "plotly" dash, Previously I was using Tableau for this purpose. In tableau this was possible due to text boxes in tableau. In pandas or plotly, i think this is not possible.
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Is there a way to have PyCharm show all the columns in one line instead of splitting them? For some reason it is only showing a few columns then splitting below with a '/', while there is a lot of white space that could be utilized.
Currently have pd option set for max columns, which does show all the columns, but wish I could see all the columns in one line. Maybe there is another option I can set, but seems this is likely a function of PyCharm.
pd.set_option('display.max_columns', None)
I am totally new to python/pandas and trying to do a simple task of splitting a text field (delimited by commas) in a dataframe into multiple columns where the comma is the delimiter. The file is originally in Excel. The field is not left justified, so I left justify it using the following command:
df=df.style.set_properties(**{'text-align': 'left'})
This command does left justify the column, but it also transforms the dataframe into a Styler object, which then doesn't allow me to execute commands that I normally would on a dataframe. I did use the df=df.data command after the transformation, and that does seem to change it back to a dataframe, but the field reverts back to a right justified column. Thanks for any assistance.
I have a need to print a large table across multiple pages which contains both header rows and a “header”column. Representative of what I would like to achieve is:
https://github.com/EricG-Personal/table_print/blob/master/table.png
I do not want the contents of any cell to be clipped, split between pages, or auto-scaled to be smaller. Each page should have the appropriate header rows and each page should have the appropriate header column (the ID column).
The only aspect not depicted is that some of the cells would contain image data.
Can I achieve this with pandas?
What possible solutions do I have when attempting to print a large dataframe?
Pandas has no such capabilities, it wasn't designed for that in the first place.
I'd suggest converting your DataFrame to excel sheet and print that using MS Excel. It has -to the best of my knowledge- all what you need.
I have a group of trellis graphs on some data, in there you can see a numeric variable on the Y axis and a series of cell dishes on the X axis. Not all the numeric values are present on all the series of cells. Because of this the visualization results in a graph with empty spaces:
This is OK most of the time but the thing is I would like to avoid the "empty spaces, only in these graph series, that you can see between the bars. I would like to see showing only the pattern of the cell dishes where I have data.
Trying to do so I tried creating a calculated column to use it as a ordering index (https://docs.tibco.com/pub/sfire-bauthor/7.9.0/doc/html/en-US/GUID-8CAA18D0-CF28-4707-9945-041BDFD99E99.html) (Sorting Filter values asc/desc on Tibco Spotfire), after that "Limit data by expression" using a "[MyColumn] is not null" on it (https://community.tibco.com/questions/can-i-automatically-make-spotfire-ignore-empty-values-categories-charts) (How to show the top 10 column values in Spotfire) with no luck and I tried also (https://docs.tibco.com/pub/spotfire/6.5.1/doc/html/ncfe/ncfe_details_on_custom_expression.htm) create a custom expression, which I think it would be a good solution because I understand it will only affect these graphs and not the complete set of visualizations but no, I don't reach the point to change it. Last that it should work but it doesn't is to "Show/Hide Items" under a Boolean expression that it would include that "[Axis.Value] is not NULL" and "Apply individually for each trellis panel" of the numeric column which sound terrific but... nope, it didn't work either...
Any help would be appreciated, now I will select one by one on individual graphs extracting them and plotting them in other place but this is not very useful as a "large scale" solution. I am sure there is a way to insert a proper expression to avoid the null values of the cross of both variables, the numeric and the cell dishes.
this is because you are trellising data, not the axis. you won't be able to filter out values on the x axis; it's simply not how trellis works.
using multiple visualizations is the solution, but I assume you've got n sets of categories that you want to separate out without creating a ton of charts on the page and perhaps you can't guarantee the number of categories or their names, so you want to build a flexible solution.
please check out an answer I just wrote over here which illustrates how to use a document property and a property control to limit a visualization. your property control can be linked to automatically and dynamically display unique values in your "category" column (the one you are trellising by). maybe this can be a solution for you?
Hi I am new to SSRS and I am trying to create a line graph from the following dataset that has a single line and I am confused with how to achieve this simple task.
column1|column2|column3
1,11,35
If I try and add column 1-3 as values it will show nothing because it is trying to do a separate line per column.
I have tried making a temp table in sql and reformatting it as follows:
values
1
11
35
This works however this causes me to lose the axis names for each value.
How can I achieve a single line in my line graph as well as keeping the axis names?
You're correct in that you need separate rows (i.e. pivoting your data) to meet your chart requirements.
You can need to add another column to your new Dataset to have group names, too:
Just example names, obviously.
In your chart, add the Series and Category as required:
Now you have labels on the axis: