Open robertour opened 4 years ago
I am running qgrid 1.3.1 and pandas pandas==1.0.3. I have a DataFrame of 300K rows, and it runs well.
qgrid 1.3.1
pandas==1.0.3
However, when I convert some of the columns to categorical dtype, the display and filters are very slow.
categorical
Here is a dummy example to replicate the problem:
Without categorical dtype (it should run very quickly):
import pandas as pd import numpy as np import qgrid df = pd.DataFrame({'cat1':np.random.randint(low=1, high=1000000, size=400000), 'cat2': np.random.randint(low=1, high=1000000, size=400000), 'cat3': np.random.randint(low=1, high=1000000, size=400000), 'cat4': np.random.randint(low=1, high=1000000, size=400000), }) qgrid.show_grid(df)
When I convert the columns to categorical (silly in this example):
df2 = df.copy() df2['cat1'] = df2['cat1'].astype('category') df2['cat2'] = df2['cat2'].astype('category') df2['cat3'] = df2['cat3'].astype('category') df2['cat4'] = df2['cat4'].astype('category') qgrid.show_grid(df2)
Then, the display is super slow. Moreover, clicking in the filters (on top of the columns) is even slower.
I am running
qgrid 1.3.1
and pandaspandas==1.0.3
. I have a DataFrame of 300K rows, and it runs well.However, when I convert some of the columns to
categorical
dtype, the display and filters are very slow.Here is a dummy example to replicate the problem:
Without categorical dtype (it should run very quickly):
When I convert the columns to categorical (silly in this example):
Then, the display is super slow. Moreover, clicking in the filters (on top of the columns) is even slower.