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felixlapalma avatar felixlapalma commented on June 19, 2024

Hi, I was trying to reproduce the issue with some generated data but i could not. Maybe am I missing something?

# make some data
import os
import pandas as pd
import numpy as np

make_data=True
lat_lon_size=100000
csvs_num=10

if make_data:
    #first make some data
    np.random.seed(1234)
    #
    lat=np.random.random(lat_lon_size)*(10) - 37
    lon=np.random.random(lat_lon_size)*(10) - 64
    #
    df_=pd.DataFrame({'id':1,'Latitude':lat,'Longitude':lon})
    # dump dir
    os.makedirs('./csv',exist_ok=True)

    for i,f in enumerate(np.random.random(csvs_num)):
        df_.sample(frac=f).to_csv('./csv/test_{}.csv'.format(str(i)),index=False)


### Issue code 
import dask.dataframe as dd
import dask_geopandas
        
# from issue  just replace *_timeseries.csv' by test_*.csv
df = dd.read_csv('csv/test_*.csv')
gdf = dask_geopandas.from_dask_dataframe(df)
gdf = gdf.set_geometry(
    dask_geopandas.points_from_xy(gdf, x='Longitude', y='Latitude')
).set_crs('epsg:4326').to_crs('epsg:3395')
#
gdf.compute() 

which ends up with no errors.

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bilelomrani1 avatar bilelomrani1 commented on June 19, 2024

Sorry for the delay. The snippet you provided indeed works on my machine. Now my code works fine on the latest version of dask-geopandas. Maybe the mistake was on my side in the first place or the latest version fixed the issue. Anyway thank you very much!

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