[BUG] MultiIndex loc expects an iterable when passed Timestamp
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bug
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Description
**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](https://gist.github.com/pbruneau/689242cf5c79ce9185aa7fa3bb1f2e89) holds a self-contained example. The last line of the code fails with error: `TypeError: 'Timestamp' object is not iterable`
**Expected behavior**
I would expect the pandas and cuDF snippets to behave similarly.
**Environment overview (please complete the following information)**
- Environment location: Docker
- Method of cuDF install: Docker
- docker pull rapidsai/rapidsai:0.18-cuda10.1-runtime-ubuntu18.04-py3.7
- docker run -d -p 10000:8888 -p 10001:8787 -p 10002:8786 --privileged=true --gpus all --name test -t test
**Environment details**
Click here to see environment details
**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
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L2 cache: 256K
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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***
/opt/conda/envs/rapids/bin/python
Python 3.7.10
***Environment Variables***
PATH : /opt/conda/envs/rapids/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
LD_LIBRARY_PATH : /usr/local/nvidia/lib:/usr/local/nvidia/lib64
NUMBAPRO_NVVM :
NUMBAPRO_LIBDEVICE :
CONDA_PREFIX : /opt/conda/envs/rapids
PYTHON_PATH :
***conda packages***
/opt/conda/condabin/conda
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python_abi 3.7 1_cp37m conda-forge
pytz 2021.1 pyhd8ed1ab_0 conda-forge
pyviz_comms 2.0.1 pyhd3deb0d_0 conda-forge
pyyaml 5.4.1 py37h5e8e339_0 conda-forge
pyzmq 22.0.3 py37h336d617_1 conda-forge
rapids 0.18.0a210302 cuda10.1_py37_g58c5d18_220 rapidsai-nightly
rapids-blazing 0.18.0a210302 cuda10.1_py37_g58c5d18_220 rapidsai-nightly
rapids-xgboost 0.18.0a210302 cuda10.1_py37_g58c5d18_220 rapidsai-nightly
re2 2020.10.01 he1b5a44_0 conda-forge
readline 8.0 he28a2e2_2 conda-forge
requests 2.25.1 pyhd3deb0d_0 conda-forge
rmm 0.18.0 cuda_10.1_py37_ga4ee6b7_0 rapidsai
rtree 0.9.7 py37h0b55af0_1 conda-forge
s2n 1.0.0 h9b69904_0 conda-forge
s3fs 0.5.2 pyhd8ed1ab_0 conda-forge
sasl 0.2.1 py37h3340039_1002 conda-forge
scikit-learn 0.23.1 py37h8a51577_0 conda-forge
scipy 1.5.3 py37h8911b10_0 conda-forge
seaborn 0.11.1 hd8ed1ab_1 conda-forge
seaborn-base 0.11.1 pyhd8ed1ab_1 conda-forge
send2trash 1.5.0 py_0 conda-forge
setuptools 49.6.0 py37h89c1867_3 conda-forge
shapely 1.7.1 py37hba0730f_1 conda-forge
simpervisor 0.4 pyhd8ed1ab_0 conda-forge
six 1.15.0 pyh9f0ad1d_0 conda-forge
snappy 1.1.8 he1b5a44_3 conda-forge
sortedcontainers 2.3.0 pyhd8ed1ab_0 conda-forge
spdlog 1.7.0 hc9558a2_2 conda-forge
sqlalchemy 1.4.3 py37h5e8e339_0 conda-forge
sqlite 3.34.0 h74cdb3f_0 conda-forge
statsmodels 0.12.2 py37h902c9e0_0 conda-forge
streamz 0.6.2 pyh44b312d_0 conda-forge
tbb 2020.2 h4bd325d_3 conda-forge
tblib 1.6.0 py_0 conda-forge
terminado 0.9.2 py37h89c1867_0 conda-forge
testpath 0.4.4 py_0 conda-forge
threadpoolctl 2.1.0 pyh5ca1d4c_0 conda-forge
thrift 0.13.0 py37hcd2ae1e_2 conda-forge
thrift_sasl 0.4.2 py37h8f50634_0 conda-forge
tiledb 2.1.6 h1022b9d_0 conda-forge
tk 8.6.10 h21135ba_1 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
toolz 0.11.1 py_0 conda-forge
tornado 6.1 py37h5e8e339_1 conda-forge
tqdm 4.58.0 pyhd8ed1ab_0 conda-forge
traitlets 5.0.5 py_0 conda-forge
treelite 1.0.0 py37hc731546_0 conda-forge
treelite-runtime 1.0.0 pypi_0 pypi
typing-extensions 3.7.4.3 0 conda-forge
typing_extensions 3.7.4.3 py_0 conda-forge
tzcode 2021a h7f98852_1 conda-forge
ucx 1.9.0+gcd9efd3 cuda10.1_0 rapidsai-nightly
ucx-proc 1.0.0 gpu rapidsai-nightly
ucx-py 0.18.0a210323 py37_gcd9efd3_19 rapidsai-nightly
umap-learn 0.5.1 py37h89c1867_0 conda-forge
urllib3 1.26.3 pyhd8ed1ab_0 conda-forge
virtualenv 20.4.7 pypi_0 pypi
virtualenv-clone 0.5.4 pypi_0 pypi
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
websockets 8.1 py37h5e8e339_3 conda-forge
werkzeug 2.0.1 pypi_0 pypi
wheel 0.36.2 pyhd3deb0d_0 conda-forge
widgetsnbextension 3.5.1 py37h89c1867_4 conda-forge
wrapt 1.12.1 py37h5e8e339_3 conda-forge
wtforms 2.3.3 pypi_0 pypi
xarray 0.17.0 pyhd8ed1ab_0 conda-forge
xerces-c 3.2.3 h9d8b166_2 conda-forge
xgboost 1.3.3dev.rapidsai0.18 cuda10.1py37_0 rapidsai-nightly
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.0.10 h7f98852_0 conda-forge
xorg-libsm 1.2.3 hd9c2040_1000 conda-forge
xorg-libx11 1.7.0 h7f98852_0 conda-forge
xorg-libxau 1.0.9 h7f98852_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xorg-libxext 1.3.4 h7f98852_1 conda-forge
xorg-libxrender 0.9.10 h7f98852_1003 conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 conda-forge
xorg-xextproto 7.3.0 h7f98852_1002 conda-forge
xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xz 5.2.5 h516909a_1 conda-forge
yaml 0.2.5 h516909a_0 conda-forge
yarl 1.6.3 py37h5e8e339_1 conda-forge
zeromq 4.3.4 h9c3ff4c_0 conda-forge
zict 2.0.0 py_0 conda-forge
zipp 3.4.0 py_0 conda-forge
zlib 1.2.11 h516909a_1010 conda-forge
zstd 1.4.8 hdf46e1d_0 conda-forge
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