100+ results results for 'import pandas repo:TomAugspurger/pymaclab' (1474 ms)
4"""
5from __future__ import division
6
6
7from functools import wraps
8
12from pandas.core.api import DataFrame, Series, notnull
13import pandas._tseries as _tseries
14
14
15from pandas.util.decorators import Substitution, Appender
16
183 """
184 from pandas import Panel
185 from collections import defaultdict
test_moments.py https://github.com/MLnick/pandas.git | Python | 273 lines
1import unittest
2import nose
3
4from datetime import datetime
5from numpy.random import randn
5from numpy.random import randn
6import numpy as np
7
7
8from pandas.core.api import Series, DataFrame, DateRange
9from pandas.util.testing import assert_almost_equal
9from pandas.util.testing import assert_almost_equal
10import pandas.core.datetools as datetools
11import pandas.stats.moments as moments
11import pandas.stats.moments as moments
12import pandas.util.testing as tm
13
util.py https://github.com/burakbayramli/classnotes.git | Python | 400 lines
1from scipy.optimize import minimize
2import pandas as pd, random
3import numpy as np, datetime
3import numpy as np, datetime
4import scipy.stats
5
run_inversion_gridded2.py https://gitlab.com/flomertens/sph_img | Python | 252 lines
1import os
2import sys
2import sys
3import time
4import shutil
5
6import matplotlib as mpl
7mpl.use('Agg')
9from libwise import scriptshelper as sh
10from libwise import profileutils
11
11
12import sphimg
13import util
15import numpy as np
16import pandas as pd
17
convo_net.py https://gitlab.com/Mounphuix/MNIST | Python | 251 lines
1from __future__ import print_function
2import os
2import os
3import sys
4import timeit
5import numpy as np
6import pandas as pd
7import theano
7import theano
8import theano.tensor as T
9import six.moves.cPickle as pickle
9import six.moves.cPickle as pickle
10from network_layers import LogisticRegression
11from network_layers import HiddenLayer
11from network_layers import HiddenLayer
12from network_layers import LeNetConvPoolLayer
13from utility_functions import load_data
multilinear.py https://gitlab.com/pooja043/Globus_Docker_1 | Python | 329 lines
14from patsy import dmatrix
15import pandas as pd
16from statsmodels.api import OLS
16from statsmodels.api import OLS
17from statsmodels.api import stats
18import numpy as np
56 formula description of the model
57 dataframe : pandas.dataframe
58 dataframe where the model will be evaluated
87 -------
88 summary : pandas.DataFrame
89 a dataframe containing an extract from the summary of the model
119
120 >>> import statsmodels.api as sm
121 >>> data = sm.datasets.longley.load_pandas()
wide_n_deep_tutorial.py https://gitlab.com/github-cloud-corporation/tensorflow | Python | 212 lines
15"""Example code for TensorFlow Wide & Deep Tutorial using TF.Learn API."""
16from __future__ import absolute_import
17from __future__ import division
17from __future__ import division
18from __future__ import print_function
19
19
20import tempfile
21import urllib
22
23import pandas as pd
24import tensorflow as tf
test_indexing.py https://github.com/jseabold/pandas.git | Python | 289 lines
1import numpy as np
2import pytest
3
4import pandas as pd
5from pandas import Categorical, CategoricalIndex, Index, PeriodIndex, Series
5from pandas import Categorical, CategoricalIndex, Index, PeriodIndex, Series
6import pandas._testing as tm
7import pandas.core.common as com
7import pandas.core.common as com
8from pandas.tests.arrays.categorical.common import TestCategorical
9
252def test_mask_with_boolean_na_treated_as_false(index):
253 # https://github.com/pandas-dev/pandas/issues/31503
254 s = Series(range(3))
zmethods.py https://gitlab.com/solstag/abstractology | Python | 253 lines
19
20import pandas
21from pathlib import Path
24
25from ..ioio import ioio
26
34
35and should return a pandas.Series of a scalar dtype and indexed by 'index'.
36"""
123 x_groups = xblocks[xlevel].groupby(xblocks[xlevel])
124 count0 = pandas.Series(index=xblocks[xlevel].unique())
125 count1 = pandas.Series(index=xblocks[xlevel].unique())
239
240 values = pandas.Series(vals, index=pandas.MultiIndex.from_tuples(keys))
241
data_utils.py https://gitlab.com/lwd17/enhanced_examplar_ae | Python | 309 lines
7import csv
8import os
9import os.path as op
9import os.path as op
10import zipfile
11from functools import reduce
11from functools import reduce
12from glob import glob
13from multiprocessing import cpu_count
13from multiprocessing import cpu_count
14from typing import Any, Dict, List
15
16import numpy as np
17import pandas as pd
18import sentencepiece as sp
test_categorical.py https://github.com/jreback/pandas.git | Python | 294 lines
4"""
5from io import StringIO
6import os
7
8import numpy as np
9import pytest
10
11from pandas.core.dtypes.dtypes import CategoricalDtype
12
12
13import pandas as pd
14from pandas import Categorical, DataFrame, Timestamp
14from pandas import Categorical, DataFrame, Timestamp
15import pandas._testing as tm
16
test_inference.py https://github.com/pydata/pandas.git | Python | 524 lines
8
9from pandas._libs.tslibs.ccalendar import (
10 DAYS,
12)
13from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
14from pandas.compat import is_platform_windows
15
16from pandas import (
17 DatetimeIndex,
23)
24import pandas._testing as tm
25from pandas.core.arrays import (
30
31import pandas.tseries.frequencies as frequencies
32import pandas.tseries.offsets as offsets
preprocessing.ipynb https://gitlab.com/aakansh9/SPHERE-Challenge | Jupyter | 188 lines
10 "source": [
11 "import pandas as pd\n",
12 "import numpy as np"
128 "source": [
129 "import xgboost"
130 ]
146 "\u001b[1;32m<ipython-input-54-4c763af0299c>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mxgboost\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDMatrix\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfeats\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabel\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtargets\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
147 "\u001b[1;32m/opt/conda/lib/python3.5/site-packages/xgboost-0.4-py3.5.egg/xgboost/core.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, data, label, missing, weight, silent, feature_names, feature_types)\u001b[0m\n\u001b[0;32m 220\u001b[0m \u001b[0mfeature_names\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 221\u001b[0m feature_types)\n\u001b[1;32m--> 222\u001b[1;33m \u001b[0mlabel\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_maybe_pandas_label\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 223\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 224\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mSTRING_TYPES\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
148 "\u001b[1;32m/opt/conda/lib/python3.5/site-packages/xgboost-0.4-py3.5.egg/xgboost/core.py\u001b[0m in \u001b[0;36m_maybe_pandas_label\u001b[1;34m(label)\u001b[0m\n\u001b[0;32m 164\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mDataFrame\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 165\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 166\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'DataFrame for label cannot have multiple columns'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 167\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 168\u001b[0m \u001b[0mlabel_dtypes\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlabel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdtypes\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
google_image_scraper.py https://gitlab.com/Quantza/DeepClassificationBot | Python | 245 lines
5
6from __future__ import absolute_import
7from __future__ import print_function
7from __future__ import print_function
8import os
9import time
9import time
10import re
11import socket
12
13from selenium import webdriver
14from pattern.web import URL, DOM
95 def retrieve_source_fr_html(self, driver):
96 """ Make use of selenium. Retrieve from html table using pandas table.
97
demo.py https://gitlab.com/yaojian/RenjuAI | Python | 177 lines
1# -*- coding: utf-8 -*-
2import os
3import sys
3import sys
4from datetime import datetime
5import numpy as np
5import numpy as np
6import pandas as pd
7
7
8import mail
9
38def prepare_basic_model(date_zone, file_format='pkl'):
39 from mail_preprocess import parallel_preprocess_v2
40 path_prefix = global_dir + "/2015-12-%s_token." + file_format
prep_mtedx_data.py https://gitlab.com/lwd17/enhanced_examplar_ae | Python | 271 lines
6
7import argparse
8import logging
8import logging
9import os
10from pathlib import Path
10from pathlib import Path
11import shutil
12from itertools import groupby
13from tempfile import NamedTemporaryFile
14from typing import Tuple
15
15
16import pandas as pd
17import soundfile as sf
tile.py https://gitlab.com/pooja043/Globus_Docker_1 | Python | 297 lines
4
5from pandas.core.api import DataFrame, Series
6from pandas.core.categorical import Categorical
7from pandas.core.index import _ensure_index
8import pandas.core.algorithms as algos
9import pandas.core.common as com
9import pandas.core.common as com
10import pandas.core.nanops as nanops
11from pandas.compat import zip
12
13import numpy as np
14
fix.py https://gitlab.com/pooja043/Globus_Docker_4 | Python | 229 lines
1"""Supporting functions for the 'fix' command."""
2from __future__ import absolute_import, division, print_function
3
3
4import logging
5
6import numpy as np
7import pandas as pd
8
8
9from . import params, smoothing
10
prep_covost_data.py https://gitlab.com/lwd17/enhanced_examplar_ae | Python | 294 lines
7import argparse
8import csv
9import logging
9import logging
10import os
11import os.path as op
12import shutil
13from tempfile import NamedTemporaryFile
14from typing import Optional, Tuple
15
16import pandas as pd
17import torchaudio
17import torchaudio
18from examples.speech_to_text.data_utils import (
19 create_zip,
ioio.py https://gitlab.com/solstag/abstractology | Python | 310 lines
21import pickle
22import json
23import gzip
24import lzma
25import pandas
26from pathlib import Path
26from pathlib import Path
27from itertools import chain
28from tempfile import NamedTemporaryFile
55 "module": lzma,
56 "pandas_arg": "xz",
57 },
272 @classmethod
273 def store_pandas(cls, obj, fpath, fmt=None, formatter_args={}):
274 """
example_enhanced_boxplots.py https://gitlab.com/pooja043/Globus_Docker_4 | Python | 98 lines
1import numpy as np
2import matplotlib.pyplot as plt
3
4import statsmodels.api as sm
5
9
10data = sm.datasets.anes96.load_pandas()
11party_ID = np.arange(7)
generate_baseline03.py https://gitlab.com/tianzhou2011/talkingdata | Python | 397 lines
8import keras
9import pandas as pd
10import os
10import os
11import sys
12import gc
12import gc
13from random import shuffle
14from scipy import sparse
16from sklearn.cross_validation import train_test_split
17from sklearn.metrics import log_loss
18
380 ##################
381 from sklearn.datasets import dump_svmlight_file
382 # Metric
regression.py https://gitlab.com/SplatoonModdingHub/PTVS | Python | 303 lines
44
45from pandas import read_table
46import numpy as np
46import numpy as np
47import matplotlib.pyplot as plt
48
50 # [OPTIONAL] Seaborn makes plots nicer
51 import seaborn
52except ImportError:
63 # pandas.read_excel instead of read_table
64 #from pandas import read_excel
65 #frame = read_excel(URL)
131 # Normalize the entire data set
132 from sklearn.preprocessing import StandardScaler, MinMaxScaler
133 arr = MinMaxScaler().fit_transform(arr)
ReverseTrainSecondLayer.py https://gitlab.com/hyeonjik420/deep_learning_transcriptomics | Python | 86 lines
1from keras.layers import Input, Dense, Activation
2import numpy as np
3from keras.models import Model, load_model
4from keras import optimizers, activations
5import math
6from numpy import *
7import pandas as pd
8from keras.callbacks import ModelCheckpoint
8from keras.callbacks import ModelCheckpoint
9from keras.callbacks import CSVLogger
10from keras import optimizers
10from keras import optimizers
11import tensorflow as tf
12from keras.backend import tensorflow_backend as K
12from keras.backend import tensorflow_backend as K
13import glob
14def sigmo(x):
test_ufunc.py https://github.com/jreback/pandas.git | Python | 304 lines
1from collections import deque
2import string
3
4import numpy as np
5import pytest
6
7import pandas as pd
8import pandas._testing as tm
8import pandas._testing as tm
9from pandas.arrays import SparseArray
10
181 a1, a2 = arrays_for_binary_ufunc
182 # work around https://github.com/pandas-dev/pandas/issues/26987
183 a1[a1 == 0] = 1
298def test_outer():
299 # https://github.com/pandas-dev/pandas/issues/27186
300 s = pd.Series([1, 2, 3])
goes.py https://github.com/ayshih/sunpy.git | Python | 317 lines
8import matplotlib.dates as mdates
9import matplotlib.ticker as mticker
10import numpy as np
10import numpy as np
11import packaging.version
12from matplotlib import pyplot as plt
12from matplotlib import pyplot as plt
13from pandas import DataFrame
14
18import sunpy.io
19from sunpy import log
20from sunpy.extern import parse
159 import sunpy.timeseries
160 import sunpy.data.sample
161 ts_goes = sunpy.timeseries.TimeSeries(sunpy.data.sample.GOES_XRS_TIMESERIES, source='XRS')
FastFourierTransform.py https://gitlab.com/debasishk/PerformanceTest-Monitoring | Python | 328 lines
5import numpy as np
6import pandas as pd
7import matplotlib.pyplot as plt
8import datetime
9# from utils.mkdir import mkdir
10import os
41 out_path (str): The output path where results are stored
42 data (Pandas Dataframe): The input data where Outliers are to be found out
43 test_data (bool): Defaults to False. If model to be used for Unit Tests, explicitely specify this variable as True to bypass get_data() method.
79 Returns:
80 scores (Pandas DataFrame): FFT based outlier scores for each point stored in Pandas DataFrame indexed by tinestamp.
81 """
113 Returns:
114 test_output (Pandas DataFrame): Pandas Dataframe object containing 1 column which holds scores for each point
115 """
test_multiclass.py https://gitlab.com/github-cloud-corporation/scikit-learn | Python | 347 lines
1
2from __future__ import division
3import numpy as np
3import numpy as np
4import scipy.sparse as sp
5from itertools import product
6
7from sklearn.externals.six.moves import xrange
8from sklearn.externals.six import iteritems
9
10from scipy.sparse import issparse
11from scipy.sparse import csc_matrix
11from scipy.sparse import csc_matrix
12from scipy.sparse import csr_matrix
13from scipy.sparse import coo_matrix
TextAnalyzer.py https://gitlab.com/vicidroiddev/SouthParkMachineLearning | Python | 302 lines
6import logging
7import pandas
8import numpy as np
8import numpy as np
9import time
10import os
10import os
11import multiprocessing
12import matplotlib.pyplot as plt
19import sknn.mlp
20from sknn.backend import lasagne
21from sklearn.feature_extraction import DictVectorizer
248
249 output = pandas.DataFrame(
250 data={
test_buyback_auth.py https://gitlab.com/lbennett/zipline | Python | 227 lines
3"""
4import blaze as bz
5from blaze.compute.core import swap_resources_into_scope
5from blaze.compute.core import swap_resources_into_scope
6import pandas as pd
7from six import iteritems
8
9from zipline.pipeline.common import(
10 BUYBACK_ANNOUNCEMENT_FIELD_NAME,
19)
20from zipline.pipeline.data import (
21 CashBuybackAuthorizations,
23)
24from zipline.pipeline.factors.events import (
25 BusinessDaysSinceCashBuybackAuth,
KalmanFilters.py https://gitlab.com/debasishk/PerformanceTest-Monitoring | Python | 310 lines
6import numpy as np
7from externals.pykalman import KalmanFilter
8import matplotlib.pyplot as plt
8import matplotlib.pyplot as plt
9import pandas as pd
10import datetime, platform, os
11from numpy.random import random
12from utils.mkdir import mkdir
13
23 out_path (str): The output path, to which specific path to be appended to save results
24 data (Pandas Dataframe): The data which needs to be fitted with ARIMA model. Defaults to Empty Dataframe
25 test_data (bool, Optional [Default False]): Defaults to False. If model to be used for Unit Tests, explicitely specify this variable as True to bypass get_data() method.
80 Args:
81 data (Pandas DataFrame): Input Dataset which needs to be smoothed out, and predicted values to be found
82
vectorology.py https://gitlab.com/solstag/abstractology | Python | 259 lines
21 import gensim
22except ImportError:
23 print("Warning: Failed to import `gensim`, some functions may not be available")
24
25import multiprocessing, numpy, os, pandas
26from os import path
26from os import path
27from pathlib import Path
28from collections import OrderedDict
29from itertools import combinations
30from copy import deepcopy
31from matplotlib import pyplot as plt, colors as colors
32
33from .ioio import ioio
34from .corporalogy import Corporalogy
pivot.py https://github.com/smc77/pandas.git | Python | 291 lines
2
3from pandas import Series, DataFrame
4from pandas.tools.merge import concat
4from pandas.tools.merge import concat
5import pandas.core.common as com
6import numpy as np
6import numpy as np
7import types
8
nanops.py https://github.com/smc77/pandas.git | Python | 382 lines
1import sys
2
2
3import numpy as np
4
5from pandas.core.common import isnull, notnull
6import pandas.core.common as com
7import pandas._tseries as lib
9try:
10 import bottleneck as bn
11 _USE_BOTTLENECK = True
11 _USE_BOTTLENECK = True
12except ImportError: # pragma: no cover
13 _USE_BOTTLENECK = False
128 and sys.version_info[0] >= 3): # pragma: no cover
129 import __builtin__
130 if values.ndim > 1:
test_sorting.py https://github.com/jreback/pandas.git | Python | 284 lines
1import random
2
2
3import numpy as np
4import pytest
5
6from pandas.errors import PerformanceWarning, UnsortedIndexError
7
8from pandas import CategoricalIndex, DataFrame, Index, MultiIndex, RangeIndex
9import pandas._testing as tm
10from pandas.core.indexes.frozen import FrozenList
74 # these are the only two types that perform
75 # pandas compatibility input validation - the
76 # rest already perform separate (or no) such
121def test_unsortedindex_doc_examples():
122 # https://pandas.pydata.org/pandas-docs/stable/advanced.html#sorting-a-multiindex
123 dfm = DataFrame(
AUC_plot.py https://gitlab.com/BudzikFUW/budzik_analiza | Python | 228 lines
1
2import pandas as pd
3import numpy as np
4
5import scipy.stats as st
6import sys
6import sys
7import matplotlib.pyplot as plt
8import os
8import os
9import seaborn as sns
10from itertools import product
10from itertools import product
11from collections import defaultdict
12
misc.py https://gitlab.com/pschuprikov/lpm | Python | 430 lines
1#!/usr/bin/env python3
2from textwrap import dedent
3import math
3import math
4from typing import List, Optional, Tuple, Union, Sequence, NamedTuple
5from sys import stderr
5from sys import stderr
6import os
7import os.path as path
9import click
10import pandas as pd
11import numpy as np
RemoveUnnecessaryCastCodeFixProvider.vb https://gitlab.com/sharadag/TestProject2 | Visual Basic | 194 lines
2
3Imports System.Collections.Immutable
4Imports System.Composition
4Imports System.Composition
5Imports System.Threading
6Imports Microsoft.CodeAnalysis.CodeActions
6Imports Microsoft.CodeAnalysis.CodeActions
7Imports Microsoft.CodeAnalysis.CodeFixes
8Imports Microsoft.CodeAnalysis.Diagnostics
8Imports Microsoft.CodeAnalysis.Diagnostics
9Imports Microsoft.CodeAnalysis.Formatting
10Imports Microsoft.CodeAnalysis.Simplification
10Imports Microsoft.CodeAnalysis.Simplification
11Imports Microsoft.CodeAnalysis.Text
12Imports Microsoft.CodeAnalysis.VisualBasic.Syntax
factorplots.py https://gitlab.com/pooja043/Globus_Docker_4 | Python | 211 lines
26 x : array-like
27 The `x` factor levels constitute the x-axis. If a `pandas.Series` is
28 given its name will be used in `xlabel` if `xlabel` is None.
43 xlabel : str, optional
44 Label to use for `x`. Default is 'X'. If `x` is a `pandas.Series` it
45 will use the series names.
47 Label to use for `response`. Default is 'func of response'. If
48 `response` is a `pandas.Series` it will use the series names.
49 colors : list, optional
89
90 from pandas import DataFrame
91 fig, ax = utils.create_mpl_ax(ax)
183 """
184 from pandas import Series
185 name = None
sampler.py https://gitlab.com/nexemjail/mir | Python | 223 lines
1import numpy as np
2import librosa
2import librosa
3import scipy
4import scipy.signal
4import scipy.signal
5from math import sqrt
6from math import log
6from math import log
7import scipy.signal.spectral
8
220 #t = time.time()
221 #df = pandas.DataFrame(convert_with_processes(path))
222 #print time.time() - t
answer_key.py https://gitlab.com/lbennett/zipline | Python | 341 lines
14# limitations under the License.
15import datetime
16import hashlib
16import hashlib
17import os
18
19import numpy as np
20import pandas as pd
21import pytz
21import pytz
22import xlrd
23import requests
24
25from six.moves import map
26
controller.py https://gitlab.com/shpeely/game-stats | Python | 197 lines
1import logging
2import pandas as pd
3
3
4from game_stats.config import config
5from game_stats.store import StoreFactory
12
13from game_stats.statistics.ultimate_score import UltimateScore
14from game_stats.statistics.game_result_stats import GameResultStats
14from game_stats.statistics.game_result_stats import GameResultStats
15from game_stats.statistics.game_stats import GameStats
16from game_stats.statistics.player_stats import PlayerStats
16from game_stats.statistics.player_stats import PlayerStats
17from game_stats.constants import *
18
test_form.py https://gitlab.com/braintech/psychopy-brain | Python | 194 lines
3
4from __future__ import division
5
5
6import os
7import pytest
7import pytest
8from pandas import DataFrame
9from psychopy.visual.window import Window
9from psychopy.visual.window import Window
10from psychopy.visual.form import Form
11from psychopy.visual.text import TextStim
11from psychopy.visual.text import TextStim
12from psychopy.visual.slider import Slider
13from psychopy import constants
plot_partial_dependence.py https://github.com/NelleV/scikit-learn.git | Python | 287 lines
45
46import pandas as pd
47from sklearn.datasets import fetch_california_housing
47from sklearn.datasets import fetch_california_housing
48from sklearn.model_selection import train_test_split
49
73
74from time import time
75from sklearn.pipeline import make_pipeline
95#
96# Importantly, this tabular dataset has very different dynamic ranges for its
97# features. Neural networks tend to be very sensitive to features with varying
103#
104# Note that it is important to check that the model is accurate enough on a
105# test set before plotting the partial dependence since there would be little
__init__.py https://github.com/mblondel/scikit-learn.git | Python | 475 lines
3"""
4from collections import Sequence
5
5
6import numpy as np
7from scipy.sparse import issparse
7from scipy.sparse import issparse
8import warnings
9
9
10from .murmurhash import murmurhash3_32
11from .validation import (as_float_array,
15 check_symmetric)
16from .class_weight import compute_class_weight, compute_sample_weight
17from ..externals.joblib import cpu_count
__init__.py https://gitlab.com/pooja043/Globus_Docker_4 | Python | 107 lines
1from __future__ import (absolute_import, division, print_function,
2 unicode_literals)
3
4import warnings
5from contextlib import contextmanager
6
7from matplotlib.cbook import is_string_like, iterable
8from matplotlib import rcParams, rcdefaults, use
15
16# stolen from pandas
17@contextmanager
26
27 >>> import warnings
28 >>> with assert_produces_warning():
78 # it during all of the tests.
79 import locale
80 import warnings
interface.py https://github.com/smc77/pandas.git | Python | 134 lines
1from pandas.core.api import Series, DataFrame, Panel, MultiIndex
2from pandas.stats.ols import OLS, MovingOLS
3from pandas.stats.plm import PanelOLS, MovingPanelOLS, NonPooledPanelOLS
4import pandas.stats.common as common
5
Exercises.ipynb https://gitlab.com/santosh.sivapurapu-ab/pandas_exercises | Jupyter | 179 lines
19 "\n",
20 "### Step 1. Import the necessary libraries"
21 ]
35 "source": [
36 "### Step 2. Import the dataset from this [address](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/04_Apply/US_Crime_Rates/US_Crime_Rates_1960_2014.csv). "
37 ]
74 "source": [
75 "##### Have you noticed that the type of Year is int64. But pandas has a different type to work with Time Series. Let's see it now.\n",
76 "\n",
plot_and_correct_humidity095b.py https://gitlab.com/pkormos/phase_python | Python | 188 lines
9
10import netCDF4 as nc
11import numpy as np
12import matplotlib.pyplot as plt
13from pandas import Series, date_range
14
29p_list = [p_st.getncattr(tt_list[k]) for k in range(np.shape(pvar)[1])] # sorted rh station list
30ppt = Series(np.ma.filled(pvar[:,p_list.index(stn0)],np.nan).ravel(),index=date_range('1962-1-1', '2014-12-31 23:00', freq='H')) # make pandas dataset
31pn.close()
39r_list = [rh_st.getncattr(tt_list[k]) for k in range(np.shape(rvar)[1])] # sorted rh station list
40rh = Series(np.ma.filled(rvar[:,r_list.index(stn0)],np.nan).ravel(),index=date_range('18-Jun-1981 11:00:00', '01-Oct-2014', freq='H')) # make pandas dataset
41rn.close()
Exercises.ipynb https://gitlab.com/santosh.sivapurapu-ab/pandas_exercises | Jupyter | 156 lines
17 "\n",
18 "### Step 1. Import the necessary libraries"
19 ]
33 "source": [
34 "### Step 2. Import the first dataset [cars1](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/05_Merge/Auto_MPG/cars1.csv) and [cars2](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/05_Merge/Auto_MPG/cars2.csv). "
35 ]
ConcurrentTransactionAwareProxyTests.java https://github.com/iboyko/spring-batch.git | Java | 279 lines
18
19import static org.junit.Assert.assertEquals;
20import static org.junit.Assert.assertFalse;
20import static org.junit.Assert.assertFalse;
21import static org.junit.Assert.assertTrue;
22import static org.junit.Assert.fail;
23
24import java.util.ArrayList;
25import java.util.HashMap;
25import java.util.HashMap;
26import java.util.List;
27import java.util.Map;
27import java.util.Map;
28import java.util.Set;
29import java.util.concurrent.Callable;
test_indexing.py https://github.com/pydata/pandas.git | Python | 360 lines
1from datetime import (
2 datetime,
4)
5import re
6
6
7import numpy as np
8import pytest
9
10from pandas import (
11 Index,
20)
21import pandas._testing as tm
22
retrieve_features.py https://gitlab.com/genehack-2/15a.ozerov.team_untitled | Python | 288 lines
1import cv2
2import numpy as np
3from matplotlib import pyplot as plt
4import pandas as pd
5import seaborn as sns
5import seaborn as sns
6import sys
7HOME_DIR = '/Users/agalicina/Term10/genehack/' ##change for your machine
8sys.path.append(HOME_DIR+'genehack2016')
9from process import *
10from sklearn.metrics import roc_curve, auc
10from sklearn.metrics import roc_curve, auc
11import math
12
DynamicPricingAlgo .ipynb https://gitlab.com/thiagarajan.saravanan/dynamic-pricer | Jupyter | 496 lines
23 "import numpy as np\n",
24 "import pandas as pd\n",
25 "data = pd.ExcelFile(\"Breakfast.xlsx\")\n",
171 "Method 1\n",
172 "import pandas as pd\n",
173 "from pymongo import MongoClient\n",
210 "import pymongo\n",
211 "import pandas as pd\n",
212 "from pymongo import Connection\n",
220 "import numpy as np\n",
221 "import pandas as pd\n",
222 "\n",
242 "import pymongo\n",
243 "import pandas as pd\n",
244 "#from pymongo import Connection\n",
Multithreaded_server.py https://gitlab.com/Angiolillo/SOKE | Python | 348 lines
1from server import Clustering_dirichlet
2from sklearn.naive_bayes import MultinomialNB
3import numpy as np
4import pandas as pd
5import pickle
5import pickle
6from server import Preprocessing
7import threading
7import threading
8import socket
9
test_period.py https://github.com/jreback/pandas.git | Python | 449 lines
5from pandas._libs.tslibs.period import IncompatibleFrequency
6import pandas.util._test_decorators as td
7
7
8from pandas.core.dtypes.base import registry
9from pandas.core.dtypes.dtypes import PeriodDtype
11import pandas as pd
12import pandas._testing as tm
13from pandas.core.arrays import PeriodArray, period_array
50def test_period_array_readonly_object():
51 # https://github.com/pandas-dev/pandas/issues/25403
52 pa = period_array([pd.Period("2019-01-01")])
399
400 from pandas.core.arrays._arrow_utils import ArrowPeriodType
401
dedup_columns.py https://gitlab.com/mbay/bosch | Python | 97 lines
1from subprocess import Popen, PIPE
2import pandas as pd
3import numpy as np
3import numpy as np
4import argparse
5import time
5import time
6from scipy.sparse import csr_matrix
7from sklearn import preprocessing
cell.py https://gitlab.com/abhi1tb/build | Python | 330 lines
12
13# Python stdlib imports
14from copy import copy
14from copy import copy
15import datetime
16import re
18
19from openpyxl.compat import (
20 NUMERIC_TYPES,
23
24from openpyxl.utils.exceptions import IllegalCharacterError
25
40try:
41 from pandas import Timestamp
42 TIME_TYPES = TIME_TYPES + (Timestamp,)
2015_10_26_Distance_effects.ipynb https://gitlab.com/jdebelius/Absloute-Power | Jupyter | 527 lines
19 "source": [
20 "import numpy as np\n",
21 "import matplotlib.pyplot as plt\n",
22 "import scipy\n",
23 "import pandas as pd\n",
24 "import skbio\n",
25 "\n",
26 "import absloute_power.distance as dist"
27 ]
PathData.java https://github.com/rbodkin/hadoop-common.git | Java | 241 lines
20
21import java.io.File;
22import java.io.FileNotFoundException;
22import java.io.FileNotFoundException;
23import java.io.IOException;
24
24
25import org.apache.hadoop.classification.InterfaceAudience;
26import org.apache.hadoop.classification.InterfaceStability;
26import org.apache.hadoop.classification.InterfaceStability;
27import org.apache.hadoop.conf.Configuration;
28import org.apache.hadoop.fs.FileStatus;
28import org.apache.hadoop.fs.FileStatus;
29import org.apache.hadoop.fs.FileSystem;
30import org.apache.hadoop.fs.Path;
misc.py https://gitlab.com/pooja043/Globus_Docker_4 | Python | 386 lines
1from numpy import NaN
2from pandas import compat
3import numpy as np
4
5from pandas.core.api import Series, DataFrame, isnull, notnull
6from pandas.core.series import remove_na
6from pandas.core.series import remove_na
7from pandas.compat import zip
8
engine.py https://gitlab.com/debasishk/PerformanceTest-Monitoring | Python | 274 lines
1from dataprep import DataPreparation
2from model_aggregators import ModelAggregation
3from modify_scores import ModifyScores
4import pandas as pd
5from config import *
5from config import *
6from multiprocessing import Process, Manager
7import warnings
7import warnings
8from utils.dbCon import connect_db
9
11
12# import sys
13# out_file = open("output.txt", "a+")
test_index.py https://github.com/pydata/pandas.git | Python | 389 lines
1import numpy as np
2import pytest
3
4from pandas.errors import PerformanceWarning
5
5
6import pandas as pd
7from pandas import (
13)
14import pandas._testing as tm
15
242 # GH 9967
243 from copy import deepcopy
244
test_foreign.py https://gitlab.com/pooja043/Globus_Docker_4 | Python | 199 lines
4import os
5import warnings
6from datetime import datetime
10from pandas import DataFrame, isnull
11import pandas.util.testing as ptesting
12
19
20import pandas
21pandas_old = int(pandas.__version__.split('.')[1]) < 9
43def test_genfromdta_pandas():
44 from pandas.util.testing import assert_frame_equal
45 dta = macrodata.load_pandas().data
196if __name__ == "__main__":
197 import nose
198 nose.runmodule(argv=[__file__,'-vvs','-x','--pdb'],
homework2_correction.ipynb https://gitlab.com/gvallverdu/cours-python | Jupyter | 341 lines
21 "* Read the file by yourself by browsing it line by line\n",
22 "* Use the read_csv() function of the pandas module to read the table.\n",
23 "\n",
154 "source": [
155 "## Part 2: read in the file with pandas\n",
156 "\n",
156 "\n",
157 "First, you have to import the pandas module:"
158 ]
165 "source": [
166 "import pandas as pd"
167 ]
172 "source": [
173 "We now use pandas' [`read_csv()`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html) function to read the file. Here are the elements we have to control to read the :\n",
174 "\n",
pandas-0.19.1-seqf.patch https://gitlab.com/argent/portage | Patch | 357 lines
44 from dateutil.relativedelta import relativedelta
45 from pandas.compat import range, iteritems
46@@ -4851,6 +4852,7 @@ class TestDST(tm.TestCase):
213 else:
214diff --git a/pandas/tslib.pyx b/pandas/tslib.pyx
215index d4eaaa0b5..685de214c 100644
242@@ -412,17 +413,7 @@ class Timestamp(_Timestamp):
243 from pandas.tseries.frequencies import to_offset
244 freq = to_offset(freq)
296+ # setup components
297+ pandas_datetime_to_datetimestruct(value, PANDAS_FR_ns, &dts)
298+ dts.ps = self.nanosecond * 1000
329+ # reconstruct & check bounds
330+ value = pandas_datetimestruct_to_datetime(PANDAS_FR_ns, &dts)
331+ if value != NPY_NAT:
tabular_comparison.ipynb https://gitlab.com/rldotai/td-variance | Jupyter | 439 lines
10 "source": [
11 "import numpy as np\n",
12 "from numpy.linalg import pinv\n",
13 "\n",
14 "import pandas as pd\n",
15 "\n",
15 "\n",
16 "import networkx as nx\n",
17 "import pydot\n",
17 "import pydot\n",
18 "from IPython.display import Image, display\n",
19 "\n",
19 "\n",
20 "import matplotlib.pyplot as plt\n",
21 "%matplotlib inline\n",
generate_e4.py https://gitlab.com/tianzhou2011/talkingdata | Python | 213 lines
1#!/usr/bin/env python
2from __future__ import division
3from scipy import sparse
3from scipy import sparse
4from sklearn.datasets import dump_svmlight_file
5from sklearn.preprocessing import LabelEncoder, OneHotEncoder
5from sklearn.preprocessing import LabelEncoder, OneHotEncoder
6import argparse
7import logging
7import logging
8import numpy as np
9import os
9import os
10import pandas as pd
11import time
fermi_gbm.py https://github.com/ayshih/sunpy.git | Python | 253 lines
5
6import matplotlib.pyplot as plt
7import numpy as np
7import numpy as np
8import pandas as pd
9
9
10import astropy.units as u
11from astropy.time import TimeDelta
12
13import sunpy.io
14from sunpy.time import parse_time
14from sunpy.time import parse_time
15from sunpy.timeseries.timeseriesbase import GenericTimeSeries
16from sunpy.util.metadata import MetaDict
nlp.py https://gitlab.com/lancezlin/ai | Python | 241 lines
4
5import pandas as pd
6from copy import deepcopy
6from copy import deepcopy
7from sklearn.linear_model import SGDClassifier
8from sklearn.model_selection import GridSearchCV
8from sklearn.model_selection import GridSearchCV
9import re
10import os
10import os
11from sklearn.feature_extraction.text import CountVectorizer
12import nltk
12import nltk
13from nltk.stem.porter import PorterStemmer
14from nltk.corpus import stopwords
prep_covost_data.py https://gitlab.com/lwd17/enhanced_examplar_ae | Python | 279 lines
6
7import argparse
8import logging
9from pathlib import Path
10import shutil
11from tempfile import NamedTemporaryFile
11from tempfile import NamedTemporaryFile
12from typing import Optional, Tuple
13
13
14import pandas as pd
15import torchaudio
15import torchaudio
16from examples.speech_to_text.data_utils import (
17 create_zip,
test_arithmetic.py https://github.com/pydata/pandas.git | Python | 352 lines
1import operator
2
2
3import numpy as np
4import pytest
5
6import pandas as pd
7import pandas._testing as tm
8from pandas.core.arrays import FloatingArray
9import pandas.core.ops as ops
10
55def test_divide_by_zero(zero, negative):
56 # https://github.com/pandas-dev/pandas/issues/27398, GH#22793
57 a = pd.array([0, 1, -1, None], dtype="Int64")
139def test_rpow_one_to_na():
140 # https://github.com/pandas-dev/pandas/issues/22022
141 # https://github.com/pandas-dev/pandas/issues/29997
pandas_sqlite_test.py https://github.com/chromium/chromium.git | Python | 78 lines
8 pass
9import unittest
10
12
13from cli_tools.soundwave import pandas_sqlite
14from core.external_modules import pandas
16
17@unittest.skipIf(pandas is None, 'pandas not available')
18class TestPandasSQLite(unittest.TestCase):
30 def testCreateTableIfNotExists_alreadyExists(self):
31 df = pandas_sqlite.DataFrame(
32 [('bug_id', int), ('summary', str), ('status', str)], index='bug_id')
35 self.assertFalse(pandas.io.sql.has_table('bugs', con))
36 pandas_sqlite.CreateTableIfNotExists(con, 'bugs', df)
37 self.assertTrue(pandas.io.sql.has_table('bugs', con))
adapterbokeh.py https://gitlab.com/oytunistrator/pythalesians | Python | 199 lines
23from bokeh.plotting import figure, output_file, show
24import pandas
25
25
26from pythalesians.graphics.graphs.lowleveladapters.adaptertemplate import AdapterTemplate
27from pythalesians.graphics.graphs.graphproperties import GraphProperties
27from pythalesians.graphics.graphs.graphproperties import GraphProperties
28from pythalesians.util.constants import Constants
29
29
30import numpy
31
53
54 if type(data_frame.index) == pandas.tslib.Timestamp:
55 p1 = figure(
analytics-ipynb.html.md.erb https://gitlab.com/ggsaavedra/PredictionIO | Ruby HTML | 98 lines
33```python
34import pandas as pd
35def rows_to_df(rows):
36 return pd.DataFrame(map(lambda e: e.asDict(), rows))
37from pyspark.sql import SQLContext
38sqlc = SQLContext(sc)
69```python
70import matplotlib.pyplot as plt
71count = map(lambda e: e.c, summary)
index.md https://gitlab.com/admin-github-cloud/tensorflow | Markdown | 275 lines
46
473. Install the pandas data analysis library. tf.learn doesn't require pandas, but it does support it, and this tutorial uses pandas. To install pandas:
48 1. Get `pip`:
58
59 2. Use `pip` to install pandas:
60
61 ```shell
62 $ sudo pip install pandas
63 ```
65 If you have trouble installing pandas, consult the [instructions]
66(http://pandas.pydata.org/pandas-docs/stable/install.html) on the pandas site.
67
201```python
202import pandas as pd
203import urllib
_sobol.pyx https://github.com/matthew-brett/scipy.git | Cython | 363 lines
1from __future__ import division, absolute_import
2
2
3cimport cython
4cimport numpy as cnp
5
6import os
7import numpy as np
8
9cnp.import_array()
10
61
62 import pandas as pd
63 import numpy as np
Devoir2_correction.ipynb https://gitlab.com/gvallverdu/cours-python | Jupyter | 340 lines
21 "* Lire le fichier par vous même en le parcourant ligne par ligne\n",
22 "* Utiliser la fonction read_csv() du module pandas pour lire le tableau.\n",
23 "\n",
155 "source": [
156 "## Partie 2 : lecture du fichier avec pandas\n",
157 "\n",
157 "\n",
158 "Il faut commencer par importer le module pandas :"
159 ]
168 "source": [
169 "import pandas as pd"
170 ]
175 "source": [
176 "On utilise maintenant la fonction [`read_csv()`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html) de pandas pour lire le fichier. Voici les éléments que l'on indique pour lire le fichier :\n",
177 "\n",
test_rplot.py https://gitlab.com/pooja043/Globus_Docker_1 | Python | 299 lines
2from pandas.compat import range
3import pandas.util.testing as tm
4from pandas import read_csv
4from pandas import read_csv
5import os
6import nose
8with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
9 import pandas.tools.rplot as rplot
10
251 def test_rplot1(self):
252 import matplotlib.pyplot as plt
253 path = os.path.join(curpath(), 'data/tips.csv')
262 def test_rplot2(self):
263 import matplotlib.pyplot as plt
264 path = os.path.join(curpath(), 'data/tips.csv')
conf.py https://gitlab.com/vectorci/pandas-td | Python | 285 lines
3#
4# Pandas-TD documentation build configuration file, created by
5# sphinx-quickstart on Tue Nov 17 04:30:03 2015.
15
16import sys
17import os
225latex_documents = [
226 (master_doc, 'Pandas-TD.tex', 'Pandas-TD Documentation',
227 'Keisuke Nishida', 'manual'),
255man_pages = [
256 (master_doc, 'pandas-td', 'Pandas-TD Documentation',
257 [author], 1)
269texinfo_documents = [
270 (master_doc, 'Pandas-TD', 'Pandas-TD Documentation',
271 author, 'Pandas-TD', 'One line description of project.',
test_clean_functions.ipynb https://gitlab.com/ReturnDensityEstimation/LongMemoryModel | Jupyter | 393 lines
25 "import data_cleaning as clean\n",
26 "import pandas as pd\n",
27 "import numpy as np\n",
27 "import numpy as np\n",
28 "from BayesianKalman import kalmanfilter as kf"
29 ]
vary.py https://gitlab.com/pooja043/Globus_Docker_4 | Python | 339 lines
1"""An array of genomic intervals, treated as variant loci."""
2from __future__ import absolute_import, division, print_function
3
3
4import logging
5
6import numpy as np
7import pandas as pd
8import vcf
9
10from . import gary
11
lyra.py https://github.com/ayshih/sunpy.git | Python | 225 lines
4import sys
5from collections import OrderedDict
6
7import matplotlib.dates as mdates
8import matplotlib.pyplot as plt
9import numpy as np
9import numpy as np
10import pandas
11
16from sunpy import config
17from sunpy.time import parse_time
18from sunpy.timeseries.timeseriesbase import GenericTimeSeries
136 Additional plot keyword arguments that are handed to
137 :meth:`pandas.DataFrame.plot`.
138 """
CalmeToi.py https://gitlab.com/tianzhou2011/talkingdata | Python | 361 lines
7
8import pandas as pd
9import sys
9import sys
10import numpy as np
11import scipy as sp
11import scipy as sp
12import matplotlib.pyplot as plt
13from sklearn.cross_validation import StratifiedKFold, KFold
13from sklearn.cross_validation import StratifiedKFold, KFold
14from sklearn.metrics import log_loss
15from sklearn.cluster import DBSCAN
15from sklearn.cluster import DBSCAN
16from sklearn import metrics as skmetrics
17from sklearn.preprocessing import StandardScaler
test_pytables.py https://github.com/MLnick/pandas.git | Python | 400 lines
1import nose
2import unittest
2import unittest
3import os
4import sys
5
6import numpy as np
7
7
8from pandas import (Series, DataFrame, Panel, LongPanel, DateRange,
9 MultiIndex)
10from pandas.io.pytables import HDFStore
11import pandas.util.testing as tm
12
13try:
14 import tables
15except ImportError:
test_misc.py https://github.com/pydata/pandas.git | Python | 308 lines
1import calendar
2from datetime import datetime
2from datetime import datetime
3import locale
4import unicodedata
5
6import numpy as np
7import pytest
8
9import pandas as pd
10from pandas import (
17)
18import pandas._testing as tm
19from pandas.core.arrays import DatetimeArray
258 # work around different normalization schemes
259 # https://github.com/pandas-dev/pandas/issues/22342
260 result = result.str.normalize("NFD")
synthetic_data.py https://gitlab.com/razhangwei/news-bullying | Python | 489 lines
4import os.path as osp
5import sys
6import time
6import time
7from copy import deepcopy
8
10import numpy as np
11import pandas as pd
12import seaborn.apionly as sns
12import seaborn.apionly as sns
13from numpy.linalg import norm
14from scipy import sparse
24from lib.model.kernels import ExponentialKernel
25from lib.model.mark_density import TextualMarkDensity
26from lib.model.source_identify_model import SourceIdentifyModel
print_version.py https://gitlab.com/pooja043/Globus_Docker_4 | Python | 146 lines
28 import statsmodels
29 from statsmodels import version
30 has_sm = True
30 has_sm = True
31 except ImportError:
32 has_sm = False
63 try:
64 import pandas
65 print("pandas: %s (%s)" % (safe_version(pandas, ['version',
74 dirname(dateutil.__file__)))
75 except ImportError:
76 print(" dateutil: not installed")
78 try:
79 import patsy
80 print("patsy: %s (%s)" % (safe_version(patsy),
data.py https://github.com/josef-pkt/statsmodels.git | Python | 87 lines
55
56import numpy as np
57from statsmodels.datasets import utils as du
57from statsmodels.datasets import utils as du
58from os.path import dirname, abspath
59
74
75def load_pandas():
76 data = _get_data()
78 #NOTE: None for exog_idx is the complement of endog_idx
79 return du.process_recarray_pandas(data, endog_idx=2, exog_idx=[7,4,3,5],
80 dtype=float, index_idx=0)
dataframe_test.py https://gitlab.com/zharfi/GunSafety | Python | 149 lines
17
18from __future__ import absolute_import
19from __future__ import division
19from __future__ import division
20from __future__ import print_function
21
21
22import tensorflow as tf
23
23
24from tensorflow.contrib.learn.python import learn
25from tensorflow.contrib.learn.python.learn.tests.dataframe import mocks
80
81 def test_set_item_pandas(self):
82 # TODO(jamieas)
timeseries_test.py https://github.com/chromium/chromium.git | Python | 247 lines
4
5import datetime
6import unittest
7
8from cli_tools.soundwave import pandas_sqlite
9from cli_tools.soundwave import tables
9from cli_tools.soundwave import tables
10from core.external_modules import pandas
11
70
71@unittest.skipIf(pandas is None, 'pandas not available')
72class TestTimeSeries(unittest.TestCase):
183 with tables.DbSession(':memory:') as con:
184 pandas_sqlite.InsertOrReplaceRecords(con, 'timeseries', timeseries_in)
185 timeseries_out = tables.timeseries.GetTimeSeries(con, test_path)
views.py https://gitlab.com/IPMsim/Virtual-IPM | Python | 368 lines
16
17import os
18import re
19
20import matplotlib.pyplot as plt
21# noinspection PyUnresolvedReferences
21# noinspection PyUnresolvedReferences
22from mpl_toolkits.mplot3d import Axes3D
23import matplotlib.backends.backend_qt5agg
24import numpy as np
25import pandas
26from pandas.errors import ParserError
26from pandas.errors import ParserError
27import PyQt5.QtCore as QtCore
28import PyQt5.QtGui as QtGui
test_setops.py https://github.com/pydata/pandas.git | Python | 204 lines
1import numpy as np
2import pytest
3
4from pandas import (
5 Index,
9)
10import pandas._testing as tm
11
faq.rst https://gitlab.com/0072016/0072016 | ReStructuredText | 277 lines
57
58* `pandas.io <http://pandas.pydata.org/pandas-docs/stable/io.html>`_ to load
59 heterogeneously typed data from various file formats and database protocols
64optimized file format such as HDF5 to reduce data load times. Various libraries
65such as H5Py, PyTables and pandas provides a Python interface for reading and
66writing data in that format.
81
82The contributor should support the importance of the proposed addition with
83research papers and/or implementations in other similar packages, demonstrate
182
183 >>> from leven import levenshtein # doctest: +SKIP
184 >>> import numpy as np
184 >>> import numpy as np
185 >>> from sklearn.cluster import dbscan
186 >>> data = ["ACCTCCTAGAAG", "ACCTACTAGAAGTT", "GAATATTAGGCCGA"]
views.py https://gitlab.com/lidorle/Django-Assignment1 | Python | 109 lines
2from __future__ import unicode_literals
3import pandas as pd
4from django.shortcuts import render
4from django.shortcuts import render
5from .models import Car,Company,PriceList
6from django.http import Http404
6from django.http import Http404
7import json
8from django.core import serializers
8from django.core import serializers
9from django.core.serializers.json import DjangoJSONEncoder
10from django.views.decorators.csrf import csrf_exempt
10from django.views.decorators.csrf import csrf_exempt
11import urlparse
12from django.http import HttpResponse
LibFMFeatures.py https://gitlab.com/xbsd/kaggle-1 | Python | 191 lines
1import string
2from string import lower
3
4import numpy as np
5from sklearn.feature_extraction import DictVectorizer
6from sklearn.feature_extraction.text import TfidfVectorizer
7from sklearn import preprocessing
8from sklearn_pandas import DataFrameMapper
9from sklearn.datasets.svmlight_format import dump_svmlight_file
10from algo.base_mode import BaseModel
11from sklearn_pandas import DataFrameMapper
12from common.utils import FILE_SEPERATOR
12from common.utils import FILE_SEPERATOR
13from sklearn import pipeline
14from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
test_categorical.py https://github.com/jreback/pandas.git | Python | 388 lines
1import numpy as np
2import pytest
3
4from pandas.core.dtypes.dtypes import CategoricalDtype
5
5
6import pandas as pd
7from pandas import Categorical, DataFrame, Index, Series
7from pandas import Categorical, DataFrame, Index, Series
8import pandas._testing as tm
9
timeseriesio.py https://gitlab.com/oytunistrator/pythalesians | Python | 388 lines
21
22import pandas
23import codecs
23import codecs
24import datetime
25from dateutil.parser import parse
25from dateutil.parser import parse
26import shutil
27
27
28from openpyxl import load_workbook
29import os.path
30
31from pythalesians.util.constants import Constants
32from pythalesians.util.loggermanager import LoggerManager
calculate_path.py https://gitlab.com/mdornfe1/busy_cab | Python | 174 lines
1import sqlalchemy as sa
2import psycopg2
2import psycopg2
3import pandas.io.sql as sqlio
4import pandas as pd
4import pandas as pd
5import matplotlib.pyplot as plt
6import numpy as np
6import numpy as np
7import folium
8import json
8import json
9import requests
10from IPython import embed
10from IPython import embed
11import datetime
12from folium import plugins
__init__.py https://github.com/jreback/pandas.git | Python | 286 lines
38
39from pandas._config import (
40 get_option,
48# let init-time option registration happen
49import pandas.core.config_init
50
140
141import pandas.api
142from pandas.util._print_versions import show_versions
175
176from pandas.io.json import _json_normalize as json_normalize
177
179import pandas.testing
180import pandas.arrays
181