No "Maximice" option at the moment of display dataframe in jupyter lab

[jvaldiviezo9]

Environment

• Operating System: Windows 10
• Python Version: 3.6
• How did you install Qgrid: Conda
• Python packages: $ pip freeze or $ conda list (please include qgrid, notebook, and jupyterlab versions)

# Name                    Version                   Build  Channel
anaconda-client           1.6.11                   py36_0
anaconda-navigator        1.7.0                    py36_0
anaconda-project          0.8.2            py36hfad2e28_0
asn1crypto                0.24.0                   py36_0
bleach                    2.1.2                    py36_0
ca-certificates           2017.08.26           h94faf87_0
certifi                   2018.1.18                py36_0
cffi                      1.11.4           py36hfa6e2cd_0
chardet                   3.0.4            py36h420ce6e_1
clyent                    1.2.2            py36hb10d595_1
colorama                  0.3.9            py36h029ae33_0
comtypes                  1.1.4                    py36_0
conda                     4.4.10                   py36_0
conda-env                 2.6.0                h36134e3_1
console_shortcut          0.1.1                h6bb2dd7_3
cryptography              2.1.4            py36he1d7878_0
cycler                    0.10.0           py36h009560c_0
decorator                 4.2.1                    py36_0
dfgui                     0.1                       <pip>
easygui                   0.98.1                    <pip>
entrypoints               0.2.3            py36hfd66bb0_2
freetype                  2.8                  h51f8f2c_1
html5lib                  1.0.1            py36h047fa9f_0
icc_rt                    2017.0.4             h97af966_0
icu                       58.2                 ha66f8fd_1
idna                      2.6              py36h148d497_1
intel-openmp              2018.0.0             hd92c6cd_8
ipykernel                 4.8.2                    py36_0
ipython                   6.2.1            py36h9cf0123_1
ipython_genutils          0.2.0            py36h3c5d0ee_0
ipywidgets                7.1.2                    py36_0
jedi                      0.11.1                   py36_0
jinja2                    2.10             py36h292fed1_0
jpeg                      9b                   hb83a4c4_2
jsonschema                2.6.0            py36h7636477_0
jupyter_client            5.2.2                    py36_0
jupyter_core              4.4.0            py36h56e9d50_0
jupyterlab                0.31.12                  py36_0
jupyterlab_launcher       0.10.5                   py36_0
libpng                    1.6.34               h79bbb47_0
libtiff                   4.0.9                h0f13578_0
m2w64-gcc-libgfortran     5.3.0                         6
m2w64-gcc-libs            5.3.0                         7
m2w64-gcc-libs-core       5.3.0                         7
m2w64-gmp                 6.1.0                         2
m2w64-libwinpthread-git   5.0.0.4634.697f757               2
markupsafe                1.0              py36h0e26971_1
matplotlib                2.1.2            py36h016c42a_0
menuinst                  1.4.11           py36hfa6e2cd_0
mistune                   0.8.3                    py36_0
mkl                       2018.0.1             h2108138_4
msys2-conda-epoch         20160418                      1
nbconvert                 5.3.1            py36h8dc0fde_0
nbformat                  4.4.0            py36h3a5bc1b_0
nodejs                    8.9.3                hd6b2f15_0
notebook                  5.4.0                    py36_0
numpy                     1.14.1           py36h4a99626_1
olefile                   0.45.1                   py36_0
openssl                   1.0.2n               h74b6da3_0
pandas                    0.22.0           py36h6538335_0
pandoc                    1.19.2.1             hb2460c7_1
pandocfilters             1.4.2            py36h3ef6317_1
parso                     0.1.1            py36hae3edee_0
patsy                     0.5.0                    py36_0
pickleshare               0.7.4            py36h9de030f_0
pillow                    5.0.0            py36h0738816_0
pip                       9.0.1            py36h226ae91_4
plotly                    2.4.1                    py36_0
prompt_toolkit            1.0.15           py36h60b8f86_0
psutil                    5.4.3            py36hfa6e2cd_0
PyAutoGUI                 0.9.36                    <pip>
pycosat                   0.6.3            py36h413d8a4_0
pycparser                 2.18             py36hd053e01_1
pygments                  2.2.0            py36hb010967_0
PyMsgBox                  1.0.6                     <pip>
pyopenssl                 17.5.0           py36h5b7d817_0
pyparsing                 2.2.0            py36h785a196_1
pyperclip                 1.6.0                     <pip>
pyqt                      5.6.0            py36hb5ed885_5
PyScreeze                 0.1.14                    <pip>
pysocks                   1.6.7            py36h698d350_1
python                    3.6.4                h6538335_1
python-dateutil           2.6.1            py36h509ddcb_1
PyTweening                1.0.3                     <pip>
pytz                      2018.3                   py36_0
pywin32                   222              py36hfa6e2cd_0
pywinpty                  0.5.1                    py36_0
pyyaml                    3.12             py36h1d1928f_1
pyzmq                     16.0.3           py36he714bf5_0
qgrid                     1.0.1                    py36_1
qt                        5.6.2           vc14h6f8c307_12
qtpy                      1.3.1            py36hb8717c5_0
requests                  2.18.4           py36h4371aae_1
ruamel_yaml               0.15.35          py36hfa6e2cd_1
scipy                     1.0.0            py36h1260518_0
seaborn                   0.8.1            py36h9b69545_0
send2trash                1.5.0                    py36_0
setuptools                38.4.0                   py36_0
simplegeneric             0.8.1                    py36_2
sip                       4.18.1           py36h9c25514_2
six                       1.11.0           py36h4db2310_1
sqlite                    3.22.0               h9d3ae62_0
statsmodels               0.8.0            py36h6189b4c_0
terminado                 0.8.1                    py36_1
testpath                  0.3.1            py36h2698cfe_0
tk                        8.6.7                hcb92d03_3
tornado                   4.5.3                    py36_0
traitlets                 4.3.2            py36h096827d_0
urllib3                   1.22             py36h276f60a_0
vc                        14                   h0510ff6_3
vs2015_runtime            14.0.25123                    3
wcwidth                   0.1.7            py36h3d5aa90_0
webencodings              0.5.1            py36h67c50ae_1
wheel                     0.30.0           py36h6c3ec14_1
widgetsnbextension        3.1.4                    py36_0
win_inet_pton             1.0.1            py36he67d7fd_1
wincertstore              0.2              py36h7fe50ca_0
winpty                    0.4.3                         4
wxPython                  4.0.1                     <pip>
xarray                    0.10.1                   py36_0
xlrd                      1.1.0            py36h1cb58dc_1
xlwings                   0.11.7                   py36_0
yaml                      0.1.7                hc54c509_2
zlib                      1.2.11               h8395fce_2

• Jupyter lab packages (if applicable): $ jupyter labextension list

JupyterLab v0.31.12
Known labextensions:
   app dir: C:\Users\Aristh\Anaconda3\share\jupyter\lab
@jupyter-widgets/jupyterlab-manager
        @jupyter-widgets/jupyterlab-manager v0.33.2 enabled  ok
@jupyterlab/plotly-extension
        @jupyterlab/plotly-extension v0.14.4 enabled  ok
qgrid
        qgrid v1.0.2 enabled  ok

Description of Issue

• What did you expect to happen? No "Maximice" option at the moment of display dataframe in jupyter lab
• What happened instead?
  The icon to "Maximice" the DataFrame is missing

Reproduction Steps

import numpy as np
import pandas as pd
import qgrid
randn = np.random.randn
df_types = pd.DataFrame({
    'A' : pd.Series(['2013-01-01', '2013-01-02', '2013-01-03', '2013-01-04',
               '2013-01-05', '2013-01-06', '2013-01-07', '2013-01-08', '2013-01-09'],index=list(range(9)),dtype='datetime64[ns]'),
    'B' : pd.Series(randn(9),index=list(range(9)),dtype='float32'),
    'C' : pd.Categorical(["washington", "adams", "washington", "madison", "lincoln","jefferson", "hamilton", "roosevelt", "kennedy"]),
    'D' : ["foo", "bar", "buzz", "bippity","boppity", "foo", "foo", "bar", "zoo"] })
df_types['E'] = df_types['D'] == 'foo'
qgrid_widget = qgrid.QgridWidget(df=df_types, show_toolbar=True)
qgrid_widget

Anything else?

In Jupyter Notebook it works as expected, but in Jupyter Lab, that option is missing.
I attach an image:

...

[TimShawver]

Hi, this is a limitation of using Qgrid in Jupyterlab currently, because the way this feature is implemented depends on some javascript that's only available in the Jupyter notebook environment.

I'm not sure I'm going to add support for this feature in Jupyterlab because the Jupyterlab layout system provides some similar capabilities. For example if you right click in the left margin of the qgrid control, the context menu that appears has a "Create New View for Output" option, as seen here:

If you select that option you'll be able to see Qgrid in a separate tab which can dragged around the UI and placed in various locations, such as at the bottom of the screen:

You can also put that Qgrid tab in "Single-Document Mode" using the following option on the View menu (or Shift + Cmd + Enter):

Which results in Qgrid taking up the whole screen:

I realize it's some extra clicks but you also get some more flexibility in terms of where you place the grid. Hopefully that satisfies your use case for now until I have time to figure out how to make the full screen button do these things with a single click.

[jvaldiviezo9]

Thanks you so much @TimShawver for pointing this workaround ! I think It could satisface my needs by now

[TimShawver]

No problem...good to hear 👍