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Add tqdm package to environment.yaml

pull/167/head
JulioV 2021-08-16 11:04:03 -04:00
parent 3ac12e7dad
commit 2e553dc9e7
2 changed files with 9 additions and 9 deletions
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15
environment.yml
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@ -1,4 +1,4 @@
name: rapids202012 name: rapids202108
channels: channels:
- conda-forge - conda-forge
- defaults - defaults
@ -7,14 +7,14 @@ dependencies:
- appdirs=1.4.4 - appdirs=1.4.4
- arrow=0.16.0 - arrow=0.16.0
- asn1crypto=1.4.0 - asn1crypto=1.4.0
- astropy=4.2 - astropy=4.2.1
- attrs=20.3.0 - attrs=20.3.0
- binaryornot=0.4.4 - binaryornot=0.4.4
- blas=1.0 - blas=1.0
- brotlipy=0.7.0 - brotlipy=0.7.0
- bzip2=1.0.8 - bzip2=1.0.8
- ca-certificates=2020.12.8 - ca-certificates=2021.7.5
- certifi=2020.12.5 - certifi=2021.5.30
- cffi=1.14.4 - cffi=1.14.4
- chardet=3.0.4 - chardet=3.0.4
- click=7.1.2 - click=7.1.2
@ -42,6 +42,7 @@ dependencies:
- libffi=3.3 - libffi=3.3
- libgfortran - libgfortran
- liblapack=3.8.0 - liblapack=3.8.0
- libopenblas=0.3.10
- libxgboost=0.90 - libxgboost=0.90
- lightgbm=3.1.1 - lightgbm=3.1.1
- llvm-openmp=10.0.0 - llvm-openmp=10.0.0
@ -54,7 +55,8 @@ dependencies:
- ncurses=6.2 - ncurses=6.2
- numpy=1.19.2 - numpy=1.19.2
- numpy-base=1.19.2 - numpy-base=1.19.2
- openssl=1.1.1i - openblas=0.3.4
- openssl=1.1.1k
- pandas=1.1.5 - pandas=1.1.5
- pbr=5.5.1 - pbr=5.5.1
- pip=20.3.3 - pip=20.3.3
@ -83,6 +85,7 @@ dependencies:
- sqlite=3.33.0 - sqlite=3.33.0
- threadpoolctl=2.1.0 - threadpoolctl=2.1.0
- tk=8.6.10 - tk=8.6.10
- tqdm=4.62.0
- urllib3=1.25.11 - urllib3=1.25.11
- wheel=0.36.2 - wheel=0.36.2
- whichcraft=0.6.1 - whichcraft=0.6.1
@ -106,4 +109,4 @@ dependencies:
- snakemake==5.30.2 - snakemake==5.30.2
- toposort==1.5 - toposort==1.5
- traitlets==4.3.3 - traitlets==4.3.3
prefix: /usr/local/Caskroom/miniconda/base/envs/rapids202012 prefix: /usr/local/Caskroom/miniconda/base/envs/rapids202108

3
src/features/phone_locations/barnett/daily_features.py
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@ -24,9 +24,6 @@ def barnett_daily_features(snakemake):
warnings.warn("Barnett's location features cannot be computed because there are no rows with an accuracy value lower than ACCURACY_LIMIT: {}".format(accuracy_limit)) warnings.warn("Barnett's location features cannot be computed because there are no rows with an accuracy value lower than ACCURACY_LIMIT: {}".format(accuracy_limit))
location_features = pd.DataFrame(columns=features_to_compute) location_features = pd.DataFrame(columns=features_to_compute)
else: else:
print(location_data)
print(nrows)
print(loc_daily_data_len)
location_minutes_used = location_data.groupby(["local_date", "local_hour"])[["local_minute"]].nunique().reset_index().groupby("local_date").sum()[["local_minute"]].rename(columns={"local_minute": "minutes_data_used"}) location_minutes_used = location_data.groupby(["local_date", "local_hour"])[["local_minute"]].nunique().reset_index().groupby("local_date").sum()[["local_minute"]].rename(columns={"local_minute": "minutes_data_used"})
timezone = mode(location_data["local_timezone"].values) timezone = mode(location_data["local_timezone"].values)
location_df = location_data[["timestamp", "double_latitude", "double_longitude", "double_altitude", "accuracy"]] location_df = location_data[["timestamp", "double_latitude", "double_longitude", "double_altitude", "accuracy"]]