Variable explorer slow to open in spyder 4 with large dataframes
See original GitHub issueProblem Description
Moderately large pandas data frames load very slowly in spyder 4 variable explorer.
What steps reproduce the problem?
import numpy as np
import pandas as pd
df=pd.DataFrame(np.arange(400000).reshape(40000,10))
What is the expected output? What do you see instead?
The above dataframe (df) takes more than 30 seconds to load in spyder 4 variable explorer while it is instantaneous in spyder 3.
Versions
- Spyder version: 4.0.0
- Python version: 3.7.4
- Qt version: 5.9.7
- PyQt version: 5.9.2
- Operating System name/version: windows 10 x64 1903
Dependencies
cloudpickle >=0.5.0 : 1.2.2 (OK)
pygments >=2.0 : 2.5.2 (OK)
qtconsole >=4.6.0 : 4.6.0 (OK)
nbconvert >=4.0 : 5.6.1 (OK)
sphinx >=0.6.6 : 2.2.2 (OK)
pylint >=0.25 : 2.4.4 (OK)
psutil >=0.3 : 5.6.7 (OK)
qtawesome >=0.5.7 : 0.6.0 (OK)
qtpy >=1.5.0 : 1.9.0 (OK)
pickleshare >=0.4 : 0.7.5 (OK)
zmq >=17 : 18.1.0 (OK)
chardet >=2.0.0 : 3.0.4 (OK)
numpydoc >=0.6.0 : 0.9.1 (OK)
spyder_kernels >=1.8.1;<2.0.0: 1.8.1 (OK)
qdarkstyle >=2.7 : 2.7 (OK)
atomicwrites >=1.2.0 : 1.3.0 (OK)
diff_match_patch >=20181111 : 20181111 (OK)
intervaltree : None (OK)
watchdog : None (OK)
keyring : None (OK)
pexpect >=4.4.0 : 4.7.0 (OK)
pympler : None (OK)
sympy >=0.7.3 : 1.4 (OK)
cython >=0.21 : 0.29.14 (OK)
IPython >=4.0 : 7.10.1 (OK)
matplotlib >=2.0.0 : 3.1.1 (OK)
pandas >=0.13.1 : 0.25.3 (OK)
numpy >=1.7 : 1.17.4 (OK)
scipy >=0.17.0 : 1.3.2 (OK)
pyls >=0.31.2;<0.32.0 : 0.31.2 (OK)
rtree >=0.8.3 : 0.8.3 (OK)
Issue Analytics
- State:
- Created 4 years ago
- Comments:5 (4 by maintainers)
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Top GitHub Comments
I second this. my data loads instantly on v3, but v4 it’s taking around 20-30secs. I like rest of V4 especially Kite’s integration. but this is slow wait is driving me toward downgrading.
@dalthviz, please take a look at this one.