i am trying to use jupyter notebook in vscode.
However, when i run dataframe.
As shown in below, column names are shown bigger so that it's difficult to read.
How i can adjust column names smaller and more readable?
Related
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 using qgrid to show pandas dataframe as a table in jupyter notebook. The code I'm using now is very simple, like:
qgrid_widget = qgrid.show_grid(some_df, show_toolbar=True)
qgrid_widget
Now the table is shown like the following (The table is big, I just show part of it):
For the rest of the work, I need to adjust many values in the table. And, as an experimental work, I don't know yet how the values should be adjusted, so I need to try. Now, to adjust the values, I double-click on the entry and enter the new value. I think a more efficient way is the following: each value in the table is represented on a slider, and I can drag the slider in the table to change the value.
I have tried the following but they don't work:
use ipywidgets.FloatSlider() as the entry of the table. This way, qgrid shows table entries just in plain text, "FloatSlider(value=xx, min=xx, max=xx, step=xxx)".
use ipysheet with FloatSlider(). However, even by following the examples here, the sheet just doesn't display on my jupyter notebook.
Does anyone have an idea for this question? How to use an interactive slider for each value in a table? Thanks!
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.
Currently we have the scala DataFrame output with id value shown first (but it is chronologically added to the DataFrame last). Other columns appears dynamically based on .pivot() function and the data.
When I call for the data in %sql interpreter, the order is changing, thus making CSV file that I download also have id column as the last one, that doesn't work for me. I can't just write the selection script at once with putting the id column at the first point manually, as I can't control other columns because of pivot. Is there any other way to make specific column go first?
The Scala paragraph is:
resultMean.registerTempTable("mean")
The sql paragraph is:
%sql
select *
from mean
For someone who will read this in future, the reason of such a behavior is in misusing the DataFrame. In Scala .show() was applied to one DataFrame, while the export to the temp table to another one. If you face the same, please double check you apply your methods to the same objects.
I have a general question related to pandas dataframe:
when I read my file, I found that my column's name is in two lines instead of one line, which makes me can't get the all column names. How to adjust it to make it all in one line?
enter image description here
if I want to assign all my column names to a variable named "columns", is this correct?
columns = data.columns
columns