beckernick
commented
3 years ago Thanks for including a simple reproducer gist. I've included it below for ease of access.
import pandas as pd
import cudf
import numpy as np
start = pd.Timestamp(datetime.strptime('2021-03-12 00:00+0000', '%Y-%m-%d %H:%M%z'))
end = pd.Timestamp(datetime.strptime('2021-03-12 03:00+0000', '%Y-%m-%d %H:%M%z'))
timestamps = pd.date_range(start, end, freq='1H')
labels = ['A', 'B', 'C']
index = pd.MultiIndex.from_product([timestamps, labels], names=["timestamp", "label"])
value = np.random.normal(size=12)
df = pd.DataFrame(value, index=index, columns=['value'])
df_gpu = cudf.from_pandas(df)
stamp = pd.Timestamp(datetime.strptime('2021-03-12 02:00+0000', '%Y-%m-%d %H:%M%z'))
print(df.loc[stamp]) # SUCCEEDS
print(df_gpu.loc[stamp]) # FAILS
value
label
A 1.184793
B -0.253166
C -0.790236
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/raid/nicholasb/miniconda3/envs/rapids-21.08/lib/python3.8/site-packages/cudf/core/indexing.py in __getitem__(self, arg)
234 try:
--> 235 return self._getitem_tuple_arg(arg)
236 except (TypeError, KeyError, IndexError, ValueError):
/raid/nicholasb/miniconda3/envs/rapids-21.08/lib/python3.8/contextlib.py in inner(*args, **kwds)
74 with self._recreate_cm():
---> 75 return func(*args, **kwds)
76 return inner
/raid/nicholasb/miniconda3/envs/rapids-21.08/lib/python3.8/site-packages/cudf/core/indexing.py in _getitem_tuple_arg(self, arg)
360 else:
--> 361 return columns_df.index._get_row_major(columns_df, arg)
362 else:
/raid/nicholasb/miniconda3/envs/rapids-21.08/lib/python3.8/site-packages/cudf/core/multiindex.py in _get_row_major(self, df, row_tuple)
926 row_tuple = slice(row_tuple.start, self[-1], row_tuple.step)
--> 927 self._validate_indexer(row_tuple)
928 valid_indices = self._get_valid_indices_by_tuple(
/raid/nicholasb/miniconda3/envs/rapids-21.08/lib/python3.8/site-packages/cudf/core/multiindex.py in _validate_indexer(self, indexer)
958 else:
--> 959 for i in indexer:
960 self._validate_indexer(i)
TypeError: 'Timestamp' object is not iterable
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
<ipython-input-87-fe779946243b> in <module>
15
16 print(df.loc[stamp]) # SUCCEEDS
---> 17 print(df_gpu.loc[stamp]) # FAILS
/raid/nicholasb/miniconda3/envs/rapids-21.08/lib/python3.8/site-packages/cudf/core/indexing.py in __getitem__(self, arg)
235 return self._getitem_tuple_arg(arg)
236 except (TypeError, KeyError, IndexError, ValueError):
--> 237 return self._getitem_tuple_arg((arg, slice(None)))
238 else:
239 if not isinstance(arg, tuple):
/raid/nicholasb/miniconda3/envs/rapids-21.08/lib/python3.8/contextlib.py in inner(*args, **kwds)
73 def inner(*args, **kwds):
74 with self._recreate_cm():
---> 75 return func(*args, **kwds)
76 return inner
77
/raid/nicholasb/miniconda3/envs/rapids-21.08/lib/python3.8/site-packages/cudf/core/indexing.py in _getitem_tuple_arg(self, arg)
357 else:
358 if isinstance(arg, tuple):
--> 359 return columns_df.index._get_row_major(columns_df, arg[0])
360 else:
361 return columns_df.index._get_row_major(columns_df, arg)
/raid/nicholasb/miniconda3/envs/rapids-21.08/lib/python3.8/site-packages/cudf/core/multiindex.py in _get_row_major(self, df, row_tuple)
925 if row_tuple.stop is None:
926 row_tuple = slice(row_tuple.start, self[-1], row_tuple.step)
--> 927 self._validate_indexer(row_tuple)
928 valid_indices = self._get_valid_indices_by_tuple(
929 df.index, row_tuple, len(df.index)
/raid/nicholasb/miniconda3/envs/rapids-21.08/lib/python3.8/site-packages/cudf/core/multiindex.py in _validate_indexer(self, indexer)
957 self._validate_indexer(indexer.stop)
958 else:
--> 959 for i in indexer:
960 self._validate_indexer(i)
961
TypeError: 'Timestamp' object is not iterableIt looks like we go down a codepath that expects an iterable, which explains why wrapping with a tuple works (and may resolve your problem in the short term):
print(df_gpu.loc[(stamp,)]) # SUCCEEDS
value
label
A 1.184793
B -0.253166
C -0.790236
pbruneau
github-actions[bot]
wence-
Describe the bug cuDF DataFrames indexed by a Timestamp range can be accessed using
.loc[]without any problem. However, if the cuDF DataFrame is indexed with a MultiIndex with timestamps as the first key,.loc[]fails, when doing so causes no issue with pandas.Steps/Code to reproduce bug The following gist holds a self-contained example. The last line of the code fails with error:
TypeError: 'Timestamp' object is not iterableExpected behavior I would expect the pandas and cuDF snippets to behave similarly.
Environment overview (please complete the following information)
Environment details
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**git*** commit 2cda39b34197c60614186ec51106d8254e5f7b05 (grafted, HEAD, origin/branch-0.16) Author: Ray Douglass <3107146+raydouglass@users.noreply.github.com> Date: Wed Oct 21 10:31:49 2020 -0400 Update CHANGELOG.md **git submodules*** ***OS Information*** DISTRIB_ID=Ubuntu DISTRIB_RELEASE=18.04 DISTRIB_CODENAME=bionic DISTRIB_DESCRIPTION="Ubuntu 18.04.5 LTS" NAME="Ubuntu" VERSION="18.04.5 LTS (Bionic Beaver)" ID=ubuntu ID_LIKE=debian PRETTY_NAME="Ubuntu 18.04.5 LTS" VERSION_ID="18.04" HOME_URL="https://www.ubuntu.com/" SUPPORT_URL="https://help.ubuntu.com/" BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/" PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy" VERSION_CODENAME=bionic UBUNTU_CODENAME=bionic Linux fe1b5c84b917 4.15.0-143-generic #147-Ubuntu SMP Wed Apr 14 16:10:11 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux ***GPU Information*** Tue Jun 22 15:01:51 2021 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 455.23.05 Driver Version: 455.23.05 CUDA Version: 11.1 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 GeForce GTX 1080 On | 00000000:05:00.0 Off | N/A | | 28% 43C P8 7W / 180W | 1504MiB / 8114MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| +-----------------------------------------------------------------------------+ ***CPU*** Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 12 On-line CPU(s) list: 0-11 Thread(s) per core: 2 Core(s) per socket: 6 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 79 Model name: Intel(R) Core(TM) i7-6800K CPU @ 3.40GHz Stepping: 1 CPU MHz: 1200.861 CPU max MHz: 3800.0000 CPU min MHz: 1200.0000 BogoMIPS: 6800.53 Virtualization: VT-x L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 15360K NUMA node0 CPU(s): 0-11 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a rdseed adx smap intel_pt xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts md_clear flush_l1d ***CMake*** ***g++*** ***nvcc*** ***Python*** 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