pandas.read_feather got an unexpected argument nthreads
I tried saving a dataframe to feather format but while loading back I got the error
os.makedirs('tmp', exist_ok=True)
df_hist.to_feather('tmp/historical-raw')
Here's the loading back into the dataset
df_hist= pd.read_feather('tmp/historical-raw')
which gives the following error
read_feather() got an unexpected keyword argument 'nthreads'
Thanks in advance
python pandas feather
add a comment |
I tried saving a dataframe to feather format but while loading back I got the error
os.makedirs('tmp', exist_ok=True)
df_hist.to_feather('tmp/historical-raw')
Here's the loading back into the dataset
df_hist= pd.read_feather('tmp/historical-raw')
which gives the following error
read_feather() got an unexpected keyword argument 'nthreads'
Thanks in advance
python pandas feather
Have you tried updating your pandas and pyarrow installations? There are some workarounds offered here.
– ayhan
Jan 1 at 13:47
Which version of pandas you are running with?
– pygo
Jan 1 at 14:21
@pygo I am running the latest version. Tried updating but requirement already satisfied
– Naveed Unjum
Jan 1 at 17:37
add a comment |
I tried saving a dataframe to feather format but while loading back I got the error
os.makedirs('tmp', exist_ok=True)
df_hist.to_feather('tmp/historical-raw')
Here's the loading back into the dataset
df_hist= pd.read_feather('tmp/historical-raw')
which gives the following error
read_feather() got an unexpected keyword argument 'nthreads'
Thanks in advance
python pandas feather
I tried saving a dataframe to feather format but while loading back I got the error
os.makedirs('tmp', exist_ok=True)
df_hist.to_feather('tmp/historical-raw')
Here's the loading back into the dataset
df_hist= pd.read_feather('tmp/historical-raw')
which gives the following error
read_feather() got an unexpected keyword argument 'nthreads'
Thanks in advance
python pandas feather
python pandas feather
asked Jan 1 at 13:41
Naveed UnjumNaveed Unjum
257
257
Have you tried updating your pandas and pyarrow installations? There are some workarounds offered here.
– ayhan
Jan 1 at 13:47
Which version of pandas you are running with?
– pygo
Jan 1 at 14:21
@pygo I am running the latest version. Tried updating but requirement already satisfied
– Naveed Unjum
Jan 1 at 17:37
add a comment |
Have you tried updating your pandas and pyarrow installations? There are some workarounds offered here.
– ayhan
Jan 1 at 13:47
Which version of pandas you are running with?
– pygo
Jan 1 at 14:21
@pygo I am running the latest version. Tried updating but requirement already satisfied
– Naveed Unjum
Jan 1 at 17:37
Have you tried updating your pandas and pyarrow installations? There are some workarounds offered here.
– ayhan
Jan 1 at 13:47
Have you tried updating your pandas and pyarrow installations? There are some workarounds offered here.
– ayhan
Jan 1 at 13:47
Which version of pandas you are running with?
– pygo
Jan 1 at 14:21
Which version of pandas you are running with?
– pygo
Jan 1 at 14:21
@pygo I am running the latest version. Tried updating but requirement already satisfied
– Naveed Unjum
Jan 1 at 17:37
@pygo I am running the latest version. Tried updating but requirement already satisfied
– Naveed Unjum
Jan 1 at 17:37
add a comment |
2 Answers
2
active
oldest
votes
Try replacing below line
df_hist= pd.read_feather('tmp/historical-raw')
with
import feather
df_hist=feather.read_dataframe('tmp/historical-raw')
above change worked for me
add a comment |
read_feather function is as follows:
feather = _try_import()
path = _stringify_path(path)
if feather.__version__ < LooseVersion('0.4.0'):
return feather.read_dataframe(path)
return feather.read_dataframe(path, nthreads=nthreads)
The read_feather function calls the feather.read_dataframe inturn. You can import feather and call feather.read_dataframe('path') directly.
import feather
feather.read_dataframe(path)
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Try replacing below line
df_hist= pd.read_feather('tmp/historical-raw')
with
import feather
df_hist=feather.read_dataframe('tmp/historical-raw')
above change worked for me
add a comment |
Try replacing below line
df_hist= pd.read_feather('tmp/historical-raw')
with
import feather
df_hist=feather.read_dataframe('tmp/historical-raw')
above change worked for me
add a comment |
Try replacing below line
df_hist= pd.read_feather('tmp/historical-raw')
with
import feather
df_hist=feather.read_dataframe('tmp/historical-raw')
above change worked for me
Try replacing below line
df_hist= pd.read_feather('tmp/historical-raw')
with
import feather
df_hist=feather.read_dataframe('tmp/historical-raw')
above change worked for me
answered Jan 2 at 9:51
Lakshmi Bhavani - IntelLakshmi Bhavani - Intel
2677
2677
add a comment |
add a comment |
read_feather function is as follows:
feather = _try_import()
path = _stringify_path(path)
if feather.__version__ < LooseVersion('0.4.0'):
return feather.read_dataframe(path)
return feather.read_dataframe(path, nthreads=nthreads)
The read_feather function calls the feather.read_dataframe inturn. You can import feather and call feather.read_dataframe('path') directly.
import feather
feather.read_dataframe(path)
add a comment |
read_feather function is as follows:
feather = _try_import()
path = _stringify_path(path)
if feather.__version__ < LooseVersion('0.4.0'):
return feather.read_dataframe(path)
return feather.read_dataframe(path, nthreads=nthreads)
The read_feather function calls the feather.read_dataframe inturn. You can import feather and call feather.read_dataframe('path') directly.
import feather
feather.read_dataframe(path)
add a comment |
read_feather function is as follows:
feather = _try_import()
path = _stringify_path(path)
if feather.__version__ < LooseVersion('0.4.0'):
return feather.read_dataframe(path)
return feather.read_dataframe(path, nthreads=nthreads)
The read_feather function calls the feather.read_dataframe inturn. You can import feather and call feather.read_dataframe('path') directly.
import feather
feather.read_dataframe(path)
read_feather function is as follows:
feather = _try_import()
path = _stringify_path(path)
if feather.__version__ < LooseVersion('0.4.0'):
return feather.read_dataframe(path)
return feather.read_dataframe(path, nthreads=nthreads)
The read_feather function calls the feather.read_dataframe inturn. You can import feather and call feather.read_dataframe('path') directly.
import feather
feather.read_dataframe(path)
answered Jan 10 at 7:25
Mino De RajMino De Raj
11
11
add a comment |
add a comment |
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Have you tried updating your pandas and pyarrow installations? There are some workarounds offered here.
– ayhan
Jan 1 at 13:47
Which version of pandas you are running with?
– pygo
Jan 1 at 14:21
@pygo I am running the latest version. Tried updating but requirement already satisfied
– Naveed Unjum
Jan 1 at 17:37