39+ results for 'import pandas' (963 ms)
18from spyderlib.utils import programs
19from spyderlib import dependencies
20from spyderlib.baseconfig import _
30 from numpy import ndarray
31 from numpy import array, matrix #@UnusedImport (object eval)
32 from numpy.ma import MaskedArray
56
57#----Pandas support
58PANDAS_REQVER = '>=0.13.1'
58PANDAS_REQVER = '>=0.13.1'
59dependencies.add('pandas', _("View and edit DataFrames and Series in the "
60 "Variable Explorer"),
62if programs.is_module_installed('pandas', PANDAS_REQVER):
63 from pandas import DataFrame, TimeSeries
64else:
association.php http://logisticsouth.googlecode.com/svn/trunk/ | PHP | 106 lines
21
22 More importantly, when performing <b>QCubed Queries</b> across association tables, we can <b>Expand</b> on the many-to-many
23 relationship, which would use a special virtual attribute to help describe the individual object, itself, which was involved for the join.
26
27 And finally, on a similar note, you could instead use <b>ExpandAsArray</b> which would do a similar expansion
28 on the associated object, but store it as an array. See below for the differences of each.
76 <br/>
77 <h3>Same as above, but this time, use ExpandAsArray()</h3>
78 <i>Notice how each person is only listed once... but each person has an internal/virtual <b>_ProjectAsTeamMemberArray</b> which may list more than one project.</i><br/><br/>
83 // Let's ExpandArray on the Association Table, itself
84 QQ::ExpandAsArray(QQN::Person()->ProjectAsTeamMember),
85 // ExpandArray dictates that the PRIMARY sort MUST be on the root object (in this case, QQN::Person())
TransporteGen.class.php http://logisticsouth.googlecode.com/svn/trunk/ | PHP | 1360 lines
24 * @property-read Importacion $_ImportacionAsTRANSPORTEIdTRANSPORTE the value for the private _objImportacionAsTRANSPORTEIdTRANSPORTE (Read-Only) if set due to an expansion on the IMPORTACION.TRANSPORTE_idTRANSPORTE reverse relationship
25 * @property-read Importacion[] $_ImportacionAsTRANSPORTEIdTRANSPORTEArray the value for the private _objImportacionAsTRANSPORTEIdTRANSPORTEArray (Read-Only) if set due to an ExpandAsArray on the IMPORTACION.TRANSPORTE_idTRANSPORTE reverse relationship
26 * @property-read boolean $__Restored whether or not this object was restored from the database (as opposed to created new)
78 * Private member variable that stores a reference to a single ImportacionAsTRANSPORTEIdTRANSPORTE object
79 * (of type Importacion), if this Transporte object was restored with
80 * an expansion on the IMPORTACION association table.
80 * an expansion on the IMPORTACION association table.
81 * @var Importacion _objImportacionAsTRANSPORTEIdTRANSPORTE;
82 */
82 */
83 private $_objImportacionAsTRANSPORTEIdTRANSPORTE;
84
88 * an ExpandAsArray on the IMPORTACION association table.
89 * @var Importacion[] _objImportacionAsTRANSPORTEIdTRANSPORTEArray;
90 */
LicenciaGen.class.php http://logisticsouth.googlecode.com/svn/trunk/ | PHP | 3172 lines
40 * @property-read Importacion $_ImportacionAsLICENCIAIdLICENCIA the value for the private _objImportacionAsLICENCIAIdLICENCIA (Read-Only) if set due to an expansion on the IMPORTACION.LICENCIA_idLICENCIA reverse relationship
41 * @property-read Importacion[] $_ImportacionAsLICENCIAIdLICENCIAArray the value for the private _objImportacionAsLICENCIAIdLICENCIAArray (Read-Only) if set due to an ExpandAsArray on the IMPORTACION.LICENCIA_idLICENCIA reverse relationship
42 * @property-read ListaProducto $_ListaProductoAsLICENCIAIdLICENCIA the value for the private _objListaProductoAsLICENCIAIdLICENCIA (Read-Only) if set due to an expansion on the LISTA_PRODUCTO.LICENCIA_idLICENCIA reverse relationship
215 * Private member variable that stores a reference to a single ImportacionAsLICENCIAIdLICENCIA object
216 * (of type Importacion), if this Licencia object was restored with
217 * an expansion on the IMPORTACION association table.
217 * an expansion on the IMPORTACION association table.
218 * @var Importacion _objImportacionAsLICENCIAIdLICENCIA;
219 */
222 /**
223 * Private member variable that stores a reference to an array of ImportacionAsLICENCIAIdLICENCIA objects
224 * (of type Importacion[]), if this Licencia object was restored with
225 * an ExpandAsArray on the IMPORTACION association table.
226 * @var Importacion[] _objImportacionAsLICENCIAIdLICENCIAArray;
227 */
PaisGen.class.php http://logisticsouth.googlecode.com/svn/trunk/ | PHP | 1772 lines
20 * @property-read Importacion $_ImportacionAsPAISOrigen the value for the private _objImportacionAsPAISOrigen (Read-Only) if set due to an expansion on the IMPORTACION.PAIS_Origen reverse relationship
21 * @property-read Importacion[] $_ImportacionAsPAISOrigenArray the value for the private _objImportacionAsPAISOrigenArray (Read-Only) if set due to an ExpandAsArray on the IMPORTACION.PAIS_Origen reverse relationship
22 * @property-read Importacion $_ImportacionAsPAISDestino the value for the private _objImportacionAsPAISDestino (Read-Only) if set due to an expansion on the IMPORTACION.PAIS_Destino reverse relationship
22 * @property-read Importacion $_ImportacionAsPAISDestino the value for the private _objImportacionAsPAISDestino (Read-Only) if set due to an expansion on the IMPORTACION.PAIS_Destino reverse relationship
23 * @property-read Importacion[] $_ImportacionAsPAISDestinoArray the value for the private _objImportacionAsPAISDestinoArray (Read-Only) if set due to an ExpandAsArray on the IMPORTACION.PAIS_Destino reverse relationship
24 * @property-read Proveedor $_ProveedorAsPAISIdPAIS the value for the private _objProveedorAsPAISIdPAIS (Read-Only) if set due to an expansion on the PROVEEDOR.PAIS_idPAIS reverse relationship
63 * (of type Importacion[]), if this Pais object was restored with
64 * an ExpandAsArray on the IMPORTACION association table.
65 * @var Importacion[] _objImportacionAsPAISOrigenArray;
72 * an expansion on the IMPORTACION association table.
73 * @var Importacion _objImportacionAsPAISDestino;
74 */
80 * an ExpandAsArray on the IMPORTACION association table.
81 * @var Importacion[] _objImportacionAsPAISDestinoArray;
82 */
timeseries.py git://github.com/pydata/pandas.git | Python | 336 lines
3
4common_setup = """from pandas_vb_common import *
5from datetime import timedelta
162setup = common_setup + """
163from pandas.tseries.frequencies import infer_freq
164rng = date_range('1/1/1700', freq='D', periods=100000)
190setup = common_setup + """
191from pandas.tseries.offsets import Second
192s1 = date_range('1/1/2000', periods=100, freq='S')
276setup = common_setup + """
277from pandas.tseries.converter import DatetimeConverter
278"""
286import datetime as dt
287import pandas as pd
288import numpy as np
diagnostics.py git://github.com/jseabold/pymc.git | Python | 178 lines
2
3import numpy as np
4from .stats import autocorr, autocov, statfunc
4from .stats import autocorr, autocov, statfunc
5from copy import copy
6
172def trace_to_dataframe(trace):
173 """Convert a PyMC trace consisting of 1-D variables to a pandas DataFrame
174 """
174 """
175 import pandas as pd
176 return pd.DataFrame(
comparison_with_r.rst git://github.com/pydata/pandas.git | ReStructuredText | 480 lines
6
7 import pandas as pd
8 import numpy as np
90
91 from pandas import DataFrame
92 df = DataFrame({
161
162In ``pandas`` we may use :meth:`~pandas.pivot_table` method to handle this:
163
166 import random
167 import string
168
193
194In ``pandas``, there are a few ways to perform subsetting. You can use
195:meth:`~pandas.DataFrame.query` or pass an expression as if it were an
misc.py git://github.com/wesm/pandas.git | Python | 390 lines
1from numpy import NaN
2from pandas import compat
3import numpy as np
4
5from pandas.core.api import Series, DataFrame
6from pandas.core.series import remove_na
7from pandas.compat import zip, lrange
8import pandas.core.common as com
9
JSRewriter.scala git://github.com/jankroken/jsengine.git | Scala | 172 lines
2
3import jsengine.ast._
4
18 case AssignmentExpression(operator, leftHand, rightHand) => {
19 def expandAssignment(operator: Operator, leftHand: JSBaseExpression, rightHand: JSBaseExpression): Assign = {
20 Assign(rewriteExpression(leftHand),
24 case Operator("=") => Assign(rewriteExpression(leftHand), rewriteExpression(rightHand))
25 case Operator("*=") => expandAssignment(Operator("*"),leftHand, rightHand)
26 case Operator("/=") => expandAssignment(Operator("/"),leftHand, rightHand)
26 case Operator("/=") => expandAssignment(Operator("/"),leftHand, rightHand)
27 case Operator("%=") => expandAssignment(Operator("%"),leftHand, rightHand)
28 case Operator("+=") => expandAssignment(Operator("+"),leftHand, rightHand)
28 case Operator("+=") => expandAssignment(Operator("+"),leftHand, rightHand)
29 case Operator("-=") => expandAssignment(Operator("_"),leftHand, rightHand)
30 case Operator("<<=") => expandAssignment(Operator("<<"),leftHand, rightHand)
variant.d http://dotmars.googlecode.com/svn/trunk/ | D | 232 lines
11
12import dotmars.base.tuple;
13import dotmars.base.stdexcept;
218 T opModAssign(T)( T rhs ) { return (*this = get!(T) % rhs); }
219 T opAndAssign(T)( T rhs ) { return (*this = get!(T) & rhs); }
220 T opOrAssign(T)( T rhs ) { return (*this = get!(T) | rhs); }
glm.py git://github.com/jseabold/pymc.git | Python | 206 lines
2from ..core import *
3from ..distributions import *
4from ..tuning.starting import find_MAP
4from ..tuning.starting import find_MAP
5import patsy
6import theano
6import theano
7import pandas as pd
8from collections import defaultdict
8from collections import defaultdict
9from statsmodels.formula.api import glm as glm_sm
10import statsmodels.api as sm
10import statsmodels.api as sm
11from pandas.tools.plotting import scatter_matrix
12
autocomplete.d http://poseidonide.googlecode.com/svn/trunk/ | D | 1372 lines
141{
142 private import poseidon.globals;
143 private import dwt.all;
154 MRUComplete mruParser;
155 ImportComplete importParser;
156
160 mruParser = new MRUComplete;
161 importParser = new ImportComplete;
162 }
561 CAnalyzerTreeNode[] importModules;
562 //if( getImport( "dummy", D_ALL, headNode, importModules, true ) !is null )
563 //{
563 //{
564 getImport( "dummy", D_ALL, headNode, importModules, true );
565 int DType = D_UDTS | D_FUNCTION | D_ALIAS | D_TYPEDEF | D_VARIABLE | D_IMPORT;
misc.py git://github.com/pydata/pandas.git | Python | 387 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
importwizard.py https://code.google.com/p/spyderlib/ | Python | 636 lines
20 Slot)
21from spyderlib.qt.compat import to_qvariant
22
22
23from functools import partial as ft_partial
24
25try:
26 import pandas as pd
27except ImportError:
33from spyderlib.utils.qthelpers import get_icon, add_actions, create_action
34from spyderlib.py3compat import (TEXT_TYPES, INT_TYPES, to_text_string, u,
35 zip_longest, io)
378 if programs.is_module_installed('numpy'):
379 from numpy import nan
380 out = list(zip_longest(*out, fillvalue=nan))
iofuncs.py https://code.google.com/p/spyderlib/ | Python | 570 lines
17import os
18import tarfile
19import os.path as osp
19import os.path as osp
20import shutil
21import warnings
25try:
26 import pandas as pd
27except ImportError:
29
30# Local imports
31from spyderlib.py3compat import pickle, to_text_string, getcwd, PY2
201try:
202 from spyderlib.pil_patch import Image
203 if sys.byteorder == 'little':
plot_epochs_as_data_frame.py git://github.com/mne-tools/mne-python.git | Python | 231 lines
18It knows about linear algebra and element-wise operations but is size mutable
19and allows for labeled access to its data. In addition, the pandas data frame
20class provides many useful methods for restructuring, reshaping and visualizing
48designs. To take control of this feature, on export, you can specify which
49of the three dimensions 'condition', 'epoch' and 'time' is passed to the Pandas
50index using the index parameter. Note that this decision is revertible any
85More information and additional introductory materials can be found at the
86pandas doc sites: http://pandas.pydata.org/pandas-docs/stable/
87"""
94import mne
95import pylab as pl
96import numpy as np
227#
228# import pandas as pd
229# group = pd.concat([df_1, df_2])
JarBuilder.java git://github.com/apache/hadoop-common.git | Java | 208 lines
20
21import java.io.*;
22import java.util.*;
22import java.util.*;
23import java.util.jar.*;
24import java.util.zip.ZipException;
187 String ext = jarFiles.fileExtension(f);
188 boolean expandAsJar = ext.equals("jar") || ext.equals("zip");
189 if (expandAsJar) {
reshaping.rst git://github.com/pydata/pandas.git | ReStructuredText | 459 lines
8 np.random.seed(123456)
9 from pandas import *
10 options.display.max_rows=15
11 from pandas.core.reshape import *
12 import pandas.util.testing as tm
13 randn = np.random.randn
15 from pandas.tools.tile import *
16 from pandas.compat import zip
17
27
28 In [1]: import pandas.util.testing as tm; tm.N = 3
29
52
53 import pandas.util.testing as tm; tm.N = 3
54 def unpivot(frame):
faq.rst git://github.com/scikit-learn/scikit-learn.git | ReStructuredText | 413 lines
48The problem should be reproducible by simply copy-pasting your code snippet in a Python
49shell with scikit-learn installed. Do not forget to include the import statements.
50
88or scipy sparse matrices. Other types that are convertible to numeric
89arrays such as pandas DataFrame are also acceptable.
90
109
110The contributor should support the importance of the proposed addition with
111research papers and/or implementations in other similar packages, demonstrate
223
224 >>> from leven import levenshtein # doctest: +SKIP
225 >>> import numpy as np
225 >>> import numpy as np
226 >>> from sklearn.cluster import dbscan
227 >>> data = ["ACCTCCTAGAAG", "ACCTACTAGAAGTT", "GAATATTAGGCCGA"]
test_estimator_checks.py git://github.com/scikit-learn/scikit-learn.git | Python | 633 lines
9
10from sklearn.base import BaseEstimator, ClassifierMixin
11from sklearn.utils import deprecated
29from sklearn.ensemble import RandomForestClassifier
30from sklearn.linear_model import LinearRegression, SGDClassifier
31from sklearn.mixture import GaussianMixture
190 # Function is only called after we verify that pandas is installed
191 from pandas import Series
192 if isinstance(sample_weight, Series):
289 try:
290 from pandas import DataFrame
291 if isinstance(X, DataFrame):
387 try:
388 from pandas import Series # noqa
389 msg = ("Estimator NoSampleWeightPandasSeriesType raises error if "
estimator_checks.py git://github.com/scikit-learn/scikit-learn.git | Python | 3047 lines
1import types
2import warnings
2import warnings
3import sys
4import traceback
4import traceback
5import pickle
6import re
6import re
7from copy import deepcopy
8from functools import partial
8from functools import partial
9from itertools import chain
10from inspect import signature
11
12import numpy as np
13from scipy import sparse
indexing.py git://github.com/wesm/pandas.git | Python | 293 lines
1from vbench.benchmark import Benchmark
2from datetime import datetime
5
6common_setup = """from .pandas_vb_common import *
7"""
143try:
144 import pandas.computation.expressions as expr
145except:
161try:
162 import pandas.computation.expressions as expr
163except:
256n=100000
257mdt = pandas.DataFrame()
258mdt['A'] = np.random.choice(range(10000,45000,1000), n)
__init__.py http://ultra-finance.googlecode.com/svn/trunk/ | Python | 360 lines
5'''
6from pandas import *
7from math import *
test_moments.py git://github.com/wesm/pandas.git | Python | 310 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 mom
11import pandas.stats.moments as mom
12import pandas.util.testing as tm
13
bitarray.d https://bitbucket.org/prokhin_alexey/ldc2/ | D | 0 lines
9
10private import std.intrinsic;
11
682 */
683 BitArray opAndAssign(BitArray e2)
684 in
698 {
699 debug(bitarray) printf("BitArray.opAndAssign unittest\n");
700
test_math.py git://github.com/pydata/pandas.git | Python | 68 lines
1import nose
2
4from numpy.random import randn
5import numpy as np
6
6
7from pandas.core.api import Series, DataFrame, date_range
8from pandas.util.testing import assert_almost_equal
8from pandas.util.testing import assert_almost_equal
9import pandas.core.datetools as datetools
10import pandas.stats.moments as mom
10import pandas.stats.moments as mom
11import pandas.util.testing as tm
12import pandas.stats.math as pmath
12import pandas.stats.math as pmath
13import pandas.tests.test_series as ts
14from pandas import ols
decorators.py git://github.com/wesm/pandas.git | Python | 293 lines
1from pandas.compat import StringIO, callable, signature
2from pandas.lib import cache_readonly # noqa
2from pandas.lib import cache_readonly # noqa
3import sys
4import warnings
4import warnings
5from textwrap import dedent
6from functools import wraps
217 make the decision. This is useful for tests that may require costly
218 imports, to delay the cost until the test suite is actually executed.
219
251 def knownfail_decorator(f):
252 # Local import to avoid a hard nose dependency and only incur the
253 # import time overhead at actual test-time.
253 # import time overhead at actual test-time.
254 import nose
255
list.py git://github.com/wesm/pandas.git | Python | 144 lines
1import numpy as np
2from pandas.core.base import PandasObject
3from pandas.formats.printing import pprint_thing
4
5from pandas.types.common import is_scalar
6from pandas.sparse.array import SparseArray
6from pandas.sparse.array import SparseArray
7import pandas._sparse as splib
8
9
10class SparseList(PandasObject):
11
interface.py git://github.com/pydata/pandas.git | Python | 136 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
tile.py git://github.com/pydata/pandas.git | Python | 267 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
plot_stock_market.py git://github.com/scikit-learn/scikit-learn.git | Python | 261 lines
65
66import sys
67
67
68import numpy as np
69import matplotlib.pyplot as plt
69import matplotlib.pyplot as plt
70from matplotlib.collections import LineCollection
71
71
72import pandas as pd
73
73
74from sklearn import cluster, covariance, manifold
75
test_common.py git://github.com/pydata/pandas.git | Python | 189 lines
1import collections
2from functools import partial
2from functools import partial
3import string
4
4
5import numpy as np
6import pytest
7
8import pandas as pd
9from pandas import Series
9from pandas import Series
10import pandas._testing as tm
11from pandas.core import ops
11from pandas.core import ops
12import pandas.core.common as com
13from pandas.util.version import Version
reindex.py git://github.com/wesm/pandas.git | Python | 226 lines
1from vbench.benchmark import Benchmark
2from datetime import datetime
3
4common_setup = """from .pandas_vb_common import *
5"""
204#----------------------------------------------------------------------
205# blog "pandas escaped the zoo"
206
211def sample(values, k):
212 from random import shuffle
213 sampler = np.arange(len(values))
bigint.d https://dnet.svn.codeplex.com/svn | D | 2274 lines
49
50import std.string : format;
51import std.stdio : writef, writefln;
51import std.stdio : writef, writefln;
52import std.algorithm : min, max, swap, reverse;
53import std.traits : isIntegral;
53import std.traits : isIntegral;
54import std.contracts : assumeUnique;
55
417 ///
418 void opAndAssign(T:uint)(T n)
419 {
424 ///
425 void opAndAssign(T)(T n)
426 {
sdo.py git://github.com/sunpy/sunpy.git | Python | 105 lines
2"""Provides programs to process and analyze EVE data."""
3from __future__ import absolute_import
4
4
5from sunpy.lightcurve import LightCurve
6
7import os
8from pandas.io.parsers import read_csv
9from datetime import datetime
15 --------
16 >>> import sunpy
17 >>> eve = sunpy.lightcurve.EVELightCurve()
43 #LightCurve.show(kwargs)
44 from matplotlib import pyplot as plt
45 self.data.plot(**kwargs)
binary_ops.py git://github.com/wesm/pandas.git | Python | 200 lines
23setup = common_setup + """
24import pandas.computation.expressions as expr
25df = DataFrame(np.random.randn(20000, 100))
34setup = common_setup + """
35import pandas.computation.expressions as expr
36df = DataFrame(np.random.randn(20000, 100))
55setup = common_setup + """
56import pandas.computation.expressions as expr
57df = DataFrame(np.random.randn(20000, 100))
65setup = common_setup + """
66import pandas.computation.expressions as expr
67df = DataFrame(np.random.randn(20000, 100))
131setup = common_setup + """
132import pandas.computation.expressions as expr
133df = DataFrame(np.random.randn(20000, 100))
pivot.py git://github.com/pydata/pandas.git | Python | 410 lines
4
5from pandas import Series, DataFrame
6from pandas.core.index import MultiIndex
6from pandas.core.index import MultiIndex
7from pandas.core.groupby import Grouper
8from pandas.tools.merge import concat
8from pandas.tools.merge import concat
9from pandas.tools.util import cartesian_product
10from pandas.compat import range, lrange, zip
10from pandas.compat import range, lrange, zip
11from pandas.util.decorators import deprecate_kwarg
12from pandas import compat
12from pandas import compat
13import pandas.core.common as com
14import numpy as np
common.py git://github.com/wesm/pandas.git | Python | 163 lines
3
4from datetime import datetime
5import string
5import string
6import nose
7
7
8import numpy as np
9
9
10from pandas import DataFrame, bdate_range
11from pandas.util.testing import assert_almost_equal # imported in other tests
11from pandas.util.testing import assert_almost_equal # imported in other tests
12import pandas.util.testing as tm
13