I currently have a pandas table (type is pandas.Styler) and I want to move the table to the middle of the jupyter notebook so when I convert it to html. The table should be aligned center of the report.
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I am working on the Jupyter notebook and have been facing issues in increasing the length of the output of the Jupyter Notebook. I can see the output as follows:
I tried increasing the default length of the columns in pandas with no success. Can you please help me with it?
If you were using the typical way to view a dataframe in Jupyter (see my puzzelment about your screenshot in my comments to your original post) it would be things like this:
adapted from answer to 'Pretty-print an entire Pandas Series / DataFrame'
with pd.option_context('display.max_rows', None, 'display.max_columns', None):
display(df)
(Note that will work with the text-based viewing, too. Note it uses print(df) in the answer to 'Pretty-print an entire Pandas Series / DataFrame'.
Adjust the 'display.max_colwidth' if you want the entire column text to show:
with pd.option_context('display.max_rows', None, 'display.max_columns', None,'display.max_colwidth', -1):
display(df)
(If you prefer text like you posted, replace display() with print()
Generally with the solutions above the view window in Jupyter will get scrollbars so you can navigate to view all still.
You can also set the number of rows to show to be lower to save space, see example here.
You may also be interested in Pandas dataframe hide index functionality? or Using python / Jupyter Notebook, how to prevent row numbers from printing?.
As pointed out here, setting some some global options is covered in the Pandas Documentation for top-level options.
For display() to work these days you don't need to do anything extra. But if your are using old Jupyter or it doesn't work then try adding towards the top of your notebook file and running the following as a cell first:
from IPython.display import display
everybody. I learn NumPy and pandas with the Jupyter. When printing, it does not show borderlines and grey blocks. Example:
Should be:
How to solve it? Thank you very much, everybody.
The 'borderlines and grey blocks' view is a rendered HTML version of your dataframe.
You can either just use b as #Carlos Bergillos mentioned, or use
from IPython.display import display
display(b)
Please see other very similar questions:
Show DataFrame as table in iPython Notebook
Display DataFrame in Jupyter Notebook, Depending on a Condition
Display data in pandas dataframe
Using Julia and DataFrames.jl, Floats display in the notebook dataframe output like this:
5.97551e5
7.37884e5
3.10031e5
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How would one get the notebook to display them like, for example,
5.97e5
7.37e5
3.10e5
9.64e5
2.40e5
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597.55k
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964.29k
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In my Jupyter notebook version 4.2.3, when I add a cell such as
products = pd.read_csv('products.csv')
products.head()
len(products)
where products is a DataFrame, I expect a table to be displayed when the cell is run, as I have seen in other notebooks. But in order to display the DataFrame as a table, I have to first import the display method from from IPython.display and use display(products.head()), which works. What am I missing?
I caught my mistake. The last line in the cell is the one that's output. If I remove len(products) then the DataFrame prints as a table.
I have a notebook that displays lots of dataframe tables in HTML format. However when I used nbconvert to convert the notebook to latex and to PDF, some tables with wider body gets cut off. I have tried using pd.set_option('display.width', xxxx) but it didn't seem to work. It seems that the issue is not in the display of the pandas dataframe( the table is displayed just fine on the notebook ), but rather in converting the notebook to Latex/PDF. Is there anything I can do to resolve this problem?