Python How To Make A Table – I’m very new to Python and right now I’m struggling to format my data correctly for printing.
I have a list that uses two headers and an array of what are supposed to be the contents of the table. like this:
Python How To Make A Table
Note that header names are not the same length. But all information is numbers.
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I feel like there must be a data structure for this, but I can’t find it. I’ve tried populating the plots using a dictionary and print format, and trying to print them as rows.
I’m sure there must be a very easy way to do this; But maybe I’m missing out because of lack of knowledge.
Csv in PrettyTable; html There are options to read data from sql databases. You can also select a subset of data, sort the table, and change table styles.
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A % in a string is basically an escape character. The following characters tell Python the format the data type should be. The % outside and after the string tells Python that you intend to use the previous string as a format string and that the following data should be entered in the specified format.
I know I’m late to the party, but I think this will help a lot. very simple, So I think it should be used. It’s called TableIT.
You can use field names if you wish (if you don’t use field names, useFieldNames=True is used by default, so this is used).
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Colors are applied using the color option (which is set to whatever by default) and specifying RGB values.
Note that color printing may not work for you; But it works just like any other library that prints colored text. I tested and all colors work. It doesn’t even destroy the blue color like using the default version.
An empty ANSI string (it doesn’t matter if you don’t know what this is). However, It depends on each RGB value rather than the base system.
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An easy way to do this is to iterate over every column. to measure the width; Create a row_template for that maximum width and then print the rows. Not exactly what you’re looking for. In this case you have to put your headers inside the table first. I thought it might be useful to someone else.
I love how the table holds up when I do this. Specifically, I want the header cells to have a different format than the body cells and the table column width to be as wide as each one needs to be. Here is my solution:
This is a simple module that calculates the maximum width required for table entries and uses rjust and ljust to print the data nicely.
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The following function will create the required table (with or without numpy) in Python 3 (maybe even Python 2). I chose to set the width of each column to match the longest team name. You can change this if you want to use the length of the group name for each column, but that would be more complicated.
We will iterate over the list and use the csv font to represent the required data.
I’m looking for a way to generate simple columns. If you need non-edge columns. You can use this.
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Edit: I tried to keep it as simple as possible. So instead of using a team list, I did some things myself. To get to the OP’s actual question:
But this doesn’t seem simpler than the other solutions, and one advantage is that it doesn’t require a lot of imports. But @campkeith’s answer is satisfying and more robust as it handles different label lengths.
By clicking “Accept all cookies”, you agree that Stack Exchange may store cookies on your device and release information in accordance with our Cookie Policy. A tutorial on how to create charts using Matplotlib. It is possible to make beautiful tables. We can even add images to our tables inside the cells.
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Creating folders in an Office folder is very difficult; They are ugly and lack customization. Whenever you need to make a presentation in PowerPoint or Word; I found myself Googling “how to make beautiful charts in Word or PowerPoint” and guess what, I couldn’t find a real answer.
This was my reality until I found this blog post on how to create charts with R. The first thing in my mind was how to do this.
After doing my research, After reading a few posts on this topic and adding my own twist. This is the best way I can think of.
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Yes, But you can take advantage of matplotlib’s flexibility. But first, Let’s remember a little about how matplotlib works.
Matplotlib first generates a figure and can plot one or more axes within it, which is where your data is displayed.
I need to change the color of the image to make it easier to see the difference between it and the aces.
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A plot consists of lines, A combination of numbers and canvases. Here we are looking at the same parts of a table; We need to find a way to arrange everything the way we want it.
The coordinate system -x,y- with the graph can be used; Based on this, we can “draw” text and lines at the coordinates we want in the way we want to record.
Let’s start by creating the skeleton of our table; This way it will be easier for you to understand how we organize data and lines.
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We started by creating a new image and an axis and passing the image as a parameter. Then we set variables for the number of rows and columns our table will have and work with dummy data; You can go to my Github to see the full code and dummy data if you request.
Once we’ve determined the number of columns and rows our table will have, we need to set the axis limits, making sure to limit the Y axis to -0.5 so our final row is too small.
There is a structure here. Looking at it, we have 36 required spaces; nine rows with four columns each; Now we need to find a way to match the data everywhere.
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For this, We can use the .iterrows method in our dataframe, As the name suggests, on each row of our data frame it can return the row as a side tuple inside the for loop block. let’s do it.
As mentioned above, We are iterating through each row of our data frame and inside the loop we are accessing the index of the particular row and the data of that row and they are inside a tuple object; First place [0] we find index number and second place is data.
Using the .text method we can write text within our axes at certain positions as we saw before; Our configuration for columns is four fields between numbers 0–4. So we want each column to be between each of these numbers. So the X coordinate of our first column will be 0.5, Any index of any row can be entered Y dynamically.
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The next parameter is the s or string parameter, which is the actual text or data from our data frame. double parentheses; Using array[1][“”] we can access; The first is to access position 1 in the array tuple; The second one should be our column name; We use the empty string and that’s all we need. Beyond. Others used our column name.
We can see that it is already taking shape; We should remove all the thorns; headers for columns; Lines should be added between each row and column.
Now we can see the final result and it is already much better than what is in Word, but we can improve it and we can continue to do it with the advantage of being able to do it automatically if we need to do it again.
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Adding images and graphics to our charts can be a little tricky and make this blog post longer, so if you want to add them, be sure to check out the code and resources at the end.
I hope you enjoy this story. If you want to know more
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