``````from scipy.optimize import minimize
import numpy as np
def fun():
v=lambda x:abs((x(1)+0*x(2)+0*x(3)+0*x(4)+0*x(5)+0*x(6)+0*x(7)+0*x(8)+0*x(9)+0*x(10)+0*x(11)+0*x(12)+0*x(13)+0*x(14)))
return v
def cons():

# d,e=args
con=({'type':'eq','fun':lambda x: x(1)-(2171.4/0.85*x(2))},
{'type': 'eq', 'fun': lambda x: (x(5)*x(6)*89.496/6.28)-x(7)-x(8)},
{'type': 'eq', 'fun': lambda x: x(9)*x(10)-x(10)*x(11)-x(8)*x(11)},
{'type': 'eq', 'fun': lambda x: x(12) - x(13)+x(11)},
{'type': 'eq', 'fun': lambda x: x(10) - 12500*3.1415},
{'type': 'ineq', 'fun': lambda x: x(6) - x(14)},
{'type': 'ineq', 'fun': lambda x: x(3) - x(4)-2.45},
{'type': 'eq', 'fun': lambda x: x(14) - 12.14*3.1415},
{'type': 'ineq', 'fun': lambda x: x(4) - 2.45},
{'type': 'ineq', 'fun': lambda x: 97.55 - x(4)},
{'type': 'ineq', 'fun': lambda x: x(3) },
{'type': 'ineq', 'fun': lambda x: 95.1 - x(3)},
{'type': 'ineq', 'fun': lambda x: x(5)-2.45-x(4)},
{'type': 'ineq', 'fun': lambda x: 100-x(5)}
)
return con
a=fun()
b=cons()
# print(b)
x0=np.asarray([3,4,3,2,3,4,3,2,3,4,3,2,3,2])
bounds=((0,None),(0,None),(0,None),(0,None),(0,None),(0,None),(0,None),(0,None),(0,None),(0,None),(0,None),(0,None),(0,None),(0,None))
res=minimize(a,x0,method='SLSQP',constraints=b,bounds=bounds)
print(res)
print(b)

``````

1个回答

numpy.ndarray' object has no attribute 'show'

python中，opencv图片对象如何转化为f.read()这种类型的bytes

keras中model.evaluate()报错：'numpy.float64' object is not iterable
``` x_train, x_test, y_train, y_test = train_test_split(x_data, y_data, test_size=0.25) mean = x_train.mean(axis=0) std = x_train.std(axis=0) train_data = (x_train - mean) / std test_data = (x_test - mean) / std model = Sequential([Dense(64, input_shape=(6,)), Activation('relu'), Dense(32), Activation('relu'), Dense(1)]) sgd = keras.optimizers.SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True) model.compile(loss='mean_squared_error', optimizer=sgd) k = model.fit [loss, sgd] = model.evaluate(test_data, y_test, verbose=1) ``` 最后一步不知道哪出了问题。。test_data, y_test都是dataframe啊 TypeError Traceback (most recent call last) <ipython-input-29-3b0767a3c446> in <module> ----> 1 [loss, mse] = model.evaluate(test_data, y_test, verbose=1) TypeError: 'numpy.float64' object is not iterable
python出现 'numpy.dtype' object has no attribute 'is_floating'

Python用tar.gz文件安装时出现错误：No module named 'numpy.distutils._msvccompiler' in numpy.distutils及Unable to find vcvarsall.bat

fatal error: boost/python/numpy.hpp: No such file or directory

Windows下 sklearn：numpy.ufunc has the wrong size

numpy.core.multiarray failed to import
# 问题: 使用cmd执行有import cv2 和 numpy的脚本会出现numpy.core.multiarray failed to import ![图片说明](https://img-ask.csdn.net/upload/201708/09/1502268358_642984.jpg) # 一些情况: **环境:** windows 10 python : 3.5.3 opencv-python: 3.3.0 numpy: 1.13.1 在**cmd**运行python,然后import 也会报错 ![图片说明](https://img-ask.csdn.net/upload/201708/09/1502268427_523346.jpg) numpy也是 ![图片说明](https://img-ask.csdn.net/upload/201708/09/1502268454_158067.jpg) **但是** 直接在cp里面是可以import cv2 和 numpy的, IDLE也可以跑程序(cmd里Python fliename.py失败的 ,用IDLE是可以运行的) # 采取过的措施 1. 重装numpy,opencv,乃至换过32位的Python(因为当时用64位的cmd进Python成功import过,但是并不能跑程序,后来还不行了) 2. pip install -U numpy (网上很多这个答案,其实没有用) 请问各路大神这个是什么原因,是环境变量的问题还是什么?
scipy解非线性方程组报错TypeError: 'int' object is not callable
scipy解非线性方程组报错TypeError: 'int' object is not callable。网上说是参数和函数重名的缘故，但貌似我的并没有重名，代码如下： ``` from scipy.integrate import odeint import numpy as np import matplotlib.pyplot as plt from scipy.optimize import root,fsolve def fun(x): for i in range(0,len(x)): x[i] = float(x[i]) fy = np.array([(x[0]*2010**x[1])*np.exp(-1/2(39.9612**2/(x[2]*2010**x[3])+(-75.2303)**2/(x[4]*2010**x[5])-6259)),(x[0]*2011**x[1])*np.exp(-1/2(39.9612**2/(x[2]*2011**x[3])+(-75.2303)**2/(x[4]*2011**x[5])-5958)),(x[0]*2012**x[1])*np.exp(-1/2(41.3866**2/(x[2]*2012**x[3])+(-81.4421)**2/(x[4]*2012**x[5])-2624)),(x[0]*2014**x[1])*np.exp(-1/2(39.9612**2/(x[2]*2014**x[3])+(-75.2303)**2/(x[4]*2014**x[5])-4809)),(x[0]*2015**x[1])*np.exp(-1/2(39.701**2/(x[2]*2015**x[3])+(-84.2187)**2/(x[4]*2015**x[5])-3877)),(x[0]*2017**x[1])*np.exp(-1/2(41.3866**2/(x[2]*2017**x[3])+(-81.4421)**2/(x[4]*2017**x[5])-7381))]) return fy res_fsolve = fsolve(fun,[1,1,1,1,1,1]) print(res_fsolve) ``` 报错内容如下： > TypeError Traceback (most recent call last) > <ipython-input-18-0f6b923ff468> in <module> > 9 fy = np.array([(x[0]*2010**x[1])*np.exp(-1/2(39.9612**2/(x[2]*2010**x[3])+(-75.2303)**2/(x[4]*2010**x[5])-6259)),(x[0]*2011**x[1])*np.exp(-1/2(39.9612**2/(x[2]*2011**x[3])+(-75.2303)**2/(x[4]*2011**x[5])-5958)),(x[0]*2012**x[1])*np.exp(-1/2(41.3866**2/(x[2]*2012**x[3])+(-81.4421)**2/(x[4]*2012**x[5])-2624)),(x[0]*2014**x[1])*np.exp(-1/2(39.9612**2/(x[2]*2014**x[3])+(-75.2303)**2/(x[4]*2014**x[5])-4809)),(x[0]*2015**x[1])*np.exp(-1/2(39.701**2/(x[2]*2015**x[3])+(-84.2187)**2/(x[4]*2015**x[5])-3877)),(x[0]*2017**x[1])*np.exp(-1/2(41.3866**2/(x[2]*2017**x[3])+(-81.4421)**2/(x[4]*2017**x[5])-7381))]) > 10 return fy > ---> 11 res_fsolve = fsolve(fun,[1,1,1,1,1,1]) > 12 print(res_fsolve) > > c:\users\anton\appdata\local\programs\python\python36\lib\site-packages\scipy\optimize\minpack.py in fsolve(func, x0, args, fprime, full_output, col_deriv, xtol, maxfev, band, epsfcn, factor, diag) > 145 'diag': diag} > 146 > --> 147 res = _root_hybr(func, x0, args, jac=fprime, **options) > 148 if full_output: > 149 x = res['x'] > > c:\users\anton\appdata\local\programs\python\python36\lib\site-packages\scipy\optimize\minpack.py in _root_hybr(func, x0, args, jac, col_deriv, xtol, maxfev, band, eps, factor, diag, **unknown_options) > 211 if not isinstance(args, tuple): > 212 args = (args,) > --> 213 shape, dtype = _check_func('fsolve', 'func', func, x0, args, n, (n,)) > 214 if epsfcn is None: > 215 epsfcn = finfo(dtype).eps > > c:\users\anton\appdata\local\programs\python\python36\lib\site-packages\scipy\optimize\minpack.py in _check_func(checker, argname, thefunc, x0, args, numinputs, output_shape) > 24 def _check_func(checker, argname, thefunc, x0, args, numinputs, > 25 output_shape=None): > ---> 26 res = atleast_1d(thefunc(*((x0[:numinputs],) + args))) > 27 if (output_shape is not None) and (shape(res) != output_shape): > 28 if (output_shape[0] != 1): > > <ipython-input-18-0f6b923ff468> in fun(x) > 7 for i in range(0,len(x)): > 8 x[i] = float(x[i]) > ----> 9 fy = np.array([(x[0]*2010**x[1])*np.exp(-1/2(39.9612**2/(x[2]*2010**x[3])+(-75.2303)**2/(x[4]*2010**x[5])-6259)),(x[0]*2011**x[1])*np.exp(-1/2(39.9612**2/(x[2]*2011**x[3])+(-75.2303)**2/(x[4]*2011**x[5])-5958)),(x[0]*2012**x[1])*np.exp(-1/2(41.3866**2/(x[2]*2012**x[3])+(-81.4421)**2/(x[4]*2012**x[5])-2624)),(x[0]*2014**x[1])*np.exp(-1/2(39.9612**2/(x[2]*2014**x[3])+(-75.2303)**2/(x[4]*2014**x[5])-4809)),(x[0]*2015**x[1])*np.exp(-1/2(39.701**2/(x[2]*2015**x[3])+(-84.2187)**2/(x[4]*2015**x[5])-3877)),(x[0]*2017**x[1])*np.exp(-1/2(41.3866**2/(x[2]*2017**x[3])+(-81.4421)**2/(x[4]*2017**x[5])-7381))]) > 10 return fy > 11 res_fsolve = fsolve(fun,[1,1,1,1,1,1]) > > TypeError: 'int' object is not callable
TypeError: 'FileWriter' object is not callable
import tensorflow as tf import tensorlayer as tl import numpy as np class CNNEnv: def __init__(self): # The data, shuffled and split between train and test sets self.x_train, self.y_train, self.x_test, self.y_test = tl.files.load_cifar10_dataset(shape=(-1, 32, 32, 3), plotable=False) # Reorder dimensions for tensorflow self.mean = np.mean(self.x_train, axis=0, keepdims=True) self.std = np.std(self.x_train) self.x_train = (self.x_train - self.mean) / self.std self.x_test = (self.x_test - self.mean) / self.std print('x_train shape:', self.x_train.shape) print('x_test shape:', self.x_test.shape) print('y_train shape:', self.y_train.shape) print('y_test shape:', self.y_test.shape) # For generator self.num_examples = self.x_train.shape[0] self.index_in_epoch = 0 self.epochs_completed = 0 # For wide resnets self.blocks_per_group = 4 self.widening_factor = 4 # Basic info self.batch_num = 64 self.img_row = 32 self.img_col = 32 self.img_channels = 3 self.nb_classes = 10 def next_batch(self, batch_size): """Return the next `batch_size` examples from this data set.""" self.batch_size = batch_size start = self.index_in_epoch self.index_in_epoch += self.batch_size if self.index_in_epoch > self.num_examples: # Finished epoch self.epochs_completed += 1 # Shuffle the data perm = np.arange(self.num_examples) np.random.shuffle(perm) self.x_train = self.x_train[perm] self.y_train = self.y_train[perm] # Start next epoch start = 0 self.index_in_epoch = self.batch_size assert self.batch_size <= self.num_examples end = self.index_in_epoch return self.x_train[start:end], self.y_train[start:end] def reset(self, first): self.first = first if self.first is True: self.sess.close() config = tf.ConfigProto() config.gpu_options.allow_growth = True self.sess = tf.InteractiveSession(config=config) def step(self): def zero_pad_channels(x, pad=0): """ Function for Lambda layer """ pattern = [[0, 0], [0, 0], [0, 0], [pad - pad // 2, pad // 2]] return tf.pad(x, pattern) def residual_block(x, count, nb_filters=16, subsample_factor=1): prev_nb_channels = x.outputs.get_shape().as_list()[3] if subsample_factor > 1: subsample = [1, subsample_factor, subsample_factor, 1] # shortcut: subsample + zero-pad channel dim name_pool = 'pool_layer' + str(count) shortcut = tl.layers.PoolLayer(x, ksize=subsample, strides=subsample, padding='VALID', pool=tf.nn.avg_pool, name=name_pool) else: subsample = [1, 1, 1, 1] # shortcut: identity shortcut = x if nb_filters > prev_nb_channels: name_lambda = 'lambda_layer' + str(count) shortcut = tl.layers.LambdaLayer( shortcut, zero_pad_channels, fn_args={'pad': nb_filters - prev_nb_channels}, name=name_lambda) name_norm = 'norm' + str(count) y = tl.layers.BatchNormLayer(x, decay=0.999, epsilon=1e-05, is_train=True, name=name_norm) name_conv = 'conv_layer' + str(count) y = tl.layers.Conv2dLayer(y, act=tf.nn.relu, shape=[3, 3, prev_nb_channels, nb_filters], strides=subsample, padding='SAME', name=name_conv) name_norm_2 = 'norm_second' + str(count) y = tl.layers.BatchNormLayer(y, decay=0.999, epsilon=1e-05, is_train=True, name=name_norm_2) prev_input_channels = y.outputs.get_shape().as_list()[3] name_conv_2 = 'conv_layer_second' + str(count) y = tl.layers.Conv2dLayer(y, act=tf.nn.relu, shape=[3, 3, prev_input_channels, nb_filters], strides=[1, 1, 1, 1], padding='SAME', name=name_conv_2) name_merge = 'merge' + str(count) out = tl.layers.ElementwiseLayer([y, shortcut], combine_fn=tf.add, name=name_merge) return out # Placeholders learning_rate = tf.placeholder(tf.float32) img = tf.placeholder(tf.float32, shape=[self.batch_num, 32, 32, 3]) labels = tf.placeholder(tf.int32, shape=[self.batch_num, ]) x = tl.layers.InputLayer(img, name='input_layer') x = tl.layers.Conv2dLayer(x, act=tf.nn.relu, shape=[3, 3, 3, 16], strides=[1, 1, 1, 1], padding='SAME', name='cnn_layer_first') for i in range(0, self.blocks_per_group): nb_filters = 16 * self.widening_factor count = i x = residual_block(x, count, nb_filters=nb_filters, subsample_factor=1) for i in range(0, self.blocks_per_group): nb_filters = 32 * self.widening_factor if i == 0: subsample_factor = 2 else: subsample_factor = 1 count = i + self.blocks_per_group x = residual_block(x, count, nb_filters=nb_filters, subsample_factor=subsample_factor) for i in range(0, self.blocks_per_group): nb_filters = 64 * self.widening_factor if i == 0: subsample_factor = 2 else: subsample_factor = 1 count = i + 2*self.blocks_per_group x = residual_block(x, count, nb_filters=nb_filters, subsample_factor=subsample_factor) x = tl.layers.BatchNormLayer(x, decay=0.999, epsilon=1e-05, is_train=True, name='norm_last') x = tl.layers.PoolLayer(x, ksize=[1, 8, 8, 1], strides=[1, 8, 8, 1], padding='VALID', pool=tf.nn.avg_pool, name='pool_last') x = tl.layers.FlattenLayer(x, name='flatten') x = tl.layers.DenseLayer(x, n_units=self.nb_classes, act=tf.identity, name='fc') output = x.outputs ce = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(output, labels)) cost = ce tf.summary.histogram('cost',cost) correct_prediction = tf.equal(tf.cast(tf.argmax(output, 1), tf.int32), labels) acc = tf.reduce_mean(tf.cast(correct_prediction, tf.float32)) tf.summary.histogram('acc',acc) train_params = x.all_params train_op = tf.train.GradientDescentOptimizer( learning_rate, use_locking=False).minimize(cost, var_list=train_params) merged = tf.summary.merge_all() writer1 = tf.summary.FileWriter('train/',self.sess.graph) #先执行 self.sess.run(tf.global_variables_initializer()) tf.global_variables_initializer() for i in range(10): batch = self.next_batch(self.batch_num) feed_dict = {img: batch[0], labels: batch[1], learning_rate: 0.01} feed_dict.update(x.all_drop) tp, l, ac,me1 = self.sess.run([train_op, cost, acc,merged], feed_dict=feed_dict) writer1(me1,i) print('loss', l) print('acc', ac) writer1.close() a = CNNEnv() a.reset(first=False) a.step()

numpy.array()打开图片时像素点表示问题

pyinstaller打包处理的程序用不了
warn-xxx.txt文件的信息如下，求大佬处理 This file lists modules PyInstaller was not able to find. This does not necessarily mean this module is required for running you program. Python and Python 3rd-party packages include a lot of conditional or optional module. For example the module 'ntpath' only exists on Windows, whereas the module 'posixpath' only exists on Posix systems. Types if import: * top-level: imported at the top-level - look at these first * conditional: imported within an if-statement * delayed: imported from within a function * optional: imported within a try-except-statement IMPORTANT: Do NOT post this list to the issue-tracker. Use it as a basis for yourself tracking down the missing module. Thanks! missing module named pyimod03_importers - imported by PyInstaller.loader.pyimod02_archive (delayed, conditional), c:\program files\python37\lib\site-packages\PyInstaller\loader\rthooks\pyi_rth_pkgres.py (top-level) missing module named 'pkg_resources.extern.pyparsing' - imported by pkg_resources._vendor.packaging.requirements (top-level), pkg_resources._vendor.packaging.markers (top-level) missing module named 'com.sun' - imported by pkg_resources._vendor.appdirs (delayed, conditional, optional) missing module named com - imported by pkg_resources._vendor.appdirs (delayed) missing module named win32api - imported by distutils.msvccompiler (optional), pkg_resources._vendor.appdirs (delayed, conditional, optional) missing module named win32com.shell - imported by pkg_resources._vendor.appdirs (delayed, conditional, optional) missing module named _uuid - imported by uuid (optional) missing module named netbios - imported by uuid (delayed) missing module named win32wnet - imported by uuid (delayed) missing module named __builtin__ - imported by numpy.core.numerictypes (conditional), numpy.core.numeric (conditional), numpy.lib.function_base (conditional), numpy.lib._iotools (conditional), numpy.ma.core (conditional), numpy.distutils.misc_util (delayed, conditional), numpy (conditional), pymysql._compat (conditional), pkg_resources._vendor.pyparsing (conditional), setuptools._vendor.pyparsing (conditional) missing module named ordereddict - imported by pkg_resources._vendor.pyparsing (optional), setuptools._vendor.pyparsing (optional) missing module named StringIO - imported by PyInstaller.lib.modulegraph._compat (conditional), PyInstaller.lib.modulegraph.zipio (conditional), setuptools._vendor.six (conditional), numpy.lib.utils (delayed, conditional), numpy.lib.format (delayed, conditional), numpy.testing._private.utils (conditional), six (conditional), urllib3.packages.six (conditional), requests.compat (conditional), selenium.webdriver.remote.webelement (optional), pkg_resources._vendor.six (conditional) missing module named _scproxy - imported by urllib.request (conditional) missing module named 'macholib.MachO' - imported by PyInstaller.depend.dylib (delayed), PyInstaller.depend.bindepend (delayed), PyInstaller.utils.osx (top-level) missing module named macholib - imported by PyInstaller.depend.dylib (delayed, conditional) missing module named _pkgutil - imported by PyInstaller.lib.modulegraph.modulegraph (delayed, optional) missing module named dis3 - imported by PyInstaller.lib.modulegraph._compat (conditional) missing module named urllib.pathname2url - imported by urllib (conditional), PyInstaller.lib.modulegraph._compat (conditional) missing module named pyimod00_crypto_key - imported by PyInstaller.loader.pyimod02_archive (delayed, optional) missing module named thread - imported by numpy.core.arrayprint (conditional, optional), PyInstaller.loader.pyimod02_archive (conditional) missing module named 'macholib.dyld' - imported by PyInstaller.depend.bindepend (delayed) missing module named 'macholib.mach_o' - imported by PyInstaller.depend.bindepend (delayed) missing module named Crypto - imported by PyInstaller.building.makespec (delayed, conditional, optional) missing module named win32ctypes.core._time - imported by win32ctypes.core (top-level), win32ctypes.pywin32.win32api (top-level) missing module named win32ctypes.core._system_information - imported by win32ctypes.core (top-level), win32ctypes.pywin32.win32api (top-level) missing module named win32ctypes.core._resource - imported by win32ctypes.core (top-level), win32ctypes.pywin32.win32api (top-level) missing module named win32ctypes.core._dll - imported by win32ctypes.core (top-level), win32ctypes.pywin32.win32api (top-level) missing module named win32ctypes.core._common - imported by win32ctypes.core (top-level), win32ctypes.pywin32.win32api (top-level), win32ctypes.pywin32.win32cred (top-level) missing module named win32ctypes.core._authentication - imported by win32ctypes.core (top-level), win32ctypes.pywin32.win32cred (top-level) missing module named cffi - imported by win32ctypes.core (optional) missing module named UserDict - imported by PyInstaller.compat (conditional), pytz.lazy (optional) missing module named multiprocessing.set_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level) missing module named multiprocessing.get_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level) missing module named multiprocessing.TimeoutError - imported by multiprocessing (top-level), multiprocessing.pool (top-level) missing module named multiprocessing.get_context - imported by multiprocessing (top-level), multiprocessing.pool (top-level), multiprocessing.managers (top-level), multiprocessing.sharedctypes (top-level) missing module named multiprocessing.BufferTooShort - imported by multiprocessing (top-level), multiprocessing.connection (top-level) missing module named multiprocessing.AuthenticationError - imported by multiprocessing (top-level), multiprocessing.connection (top-level) missing module named pkg_resources.extern.packaging - imported by pkg_resources.extern (top-level), pkg_resources (top-level) missing module named pkg_resources.extern.appdirs - imported by pkg_resources.extern (top-level), pkg_resources (top-level) missing module named 'pkg_resources.extern.six.moves' - imported by pkg_resources (top-level), pkg_resources._vendor.packaging.requirements (top-level) missing module named pkg_resources.extern.six - imported by pkg_resources.extern (top-level), pkg_resources (top-level) missing module named 'multiprocessing.forking' - imported by c:\program files\python37\lib\site-packages\PyInstaller\loader\rthooks\pyi_rth_multiprocessing.py (optional) missing module named resource - imported by posix (top-level), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named posix - imported by os (conditional, optional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named _posixsubprocess - imported by subprocess (conditional), multiprocessing.util (delayed), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named readline - imported by cmd (delayed, conditional, optional), code (delayed, conditional, optional), pdb (delayed, optional), E:\yxrj\dingzhi\cj\231.py (top-level) excluded module named _frozen_importlib - imported by importlib (optional), importlib.abc (optional), PyInstaller.loader.pyimod02_archive (delayed, conditional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named _frozen_importlib_external - imported by importlib._bootstrap (delayed), importlib (optional), importlib.abc (optional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named _winreg - imported by platform (delayed, optional), numpy.distutils.cpuinfo (delayed, conditional, optional), requests.utils (delayed, conditional, optional), selenium.webdriver.firefox.firefox_binary (delayed, optional), E:\yxrj\dingzhi\cj\231.py (top-level), pkg_resources._vendor.appdirs (delayed) missing module named java - imported by platform (delayed), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named 'java.lang' - imported by platform (delayed, optional), xml.sax._exceptions (conditional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named vms_lib - imported by platform (delayed, conditional, optional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named termios - imported by tty (top-level), getpass (optional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named urllib.getproxies_environment - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.proxy_bypass_environment - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.proxy_bypass - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.getproxies - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.unquote_plus - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.quote_plus - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.unquote - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.urlencode - imported by urllib (optional), urllib3.packages.rfc3986.compat (optional), requests.compat (conditional) missing module named urllib.quote - imported by urllib (optional), urllib3.packages.rfc3986.compat (optional), requests.compat (conditional) missing module named grp - imported by shutil (optional), tarfile (optional), pathlib (delayed), distutils.archive_util (optional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named 'org.python' - imported by pickle (optional), xml.sax (delayed, conditional), setuptools.sandbox (conditional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named org - imported by copy (optional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named pwd - imported by posixpath (delayed, conditional), shutil (optional), tarfile (optional), http.server (delayed, optional), webbrowser (delayed), pathlib (delayed, conditional, optional), distutils.util (delayed, conditional), distutils.archive_util (optional), netrc (delayed, conditional), getpass (delayed), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named urllib2 - imported by numpy.lib._datasource (delayed, conditional), requests.compat (conditional), selenium.webdriver.common.utils (delayed, optional), selenium.webdriver.common.service (delayed, optional) missing module named urlparse - imported by numpy.lib._datasource (delayed, conditional), requests.compat (conditional), selenium.webdriver.remote.remote_connection (optional) runtime module named urllib3.packages.six.moves - imported by http.client (top-level), urllib3.connectionpool (top-level), urllib3.util.response (top-level), 'urllib3.packages.six.moves.urllib' (top-level), urllib3.response (top-level), urllib3.util.queue (top-level) missing module named 'OpenSSL.crypto' - imported by urllib3.contrib.pyopenssl (delayed) missing module named 'cryptography.x509' - imported by urllib3.contrib.pyopenssl (delayed, optional) missing module named 'cryptography.hazmat' - imported by pymysql._auth (optional), urllib3.contrib.pyopenssl (top-level) missing module named cryptography - imported by pymysql._auth (optional), urllib3.contrib.pyopenssl (top-level), requests (optional) missing module named OpenSSL - imported by urllib3.contrib.pyopenssl (top-level) missing module named 'backports.ssl_match_hostname' - imported by setuptools.ssl_support (optional), urllib3.packages.ssl_match_hostname (optional) missing module named brotli - imported by urllib3.util.request (optional), urllib3.response (optional) missing module named "'urllib3.packages.six.moves.urllib'.parse" - imported by urllib3.request (top-level), urllib3.poolmanager (top-level) missing module named Queue - imported by urllib3.util.queue (conditional) missing module named httplib - imported by selenium.webdriver.safari.webdriver (optional), selenium.webdriver.blackberry.webdriver (optional), selenium.webdriver.webkitgtk.webdriver (optional) missing module named cStringIO - imported by selenium.webdriver.firefox.firefox_profile (optional) missing module named copy_reg - imported by numpy.core (conditional), soupsieve.util (conditional), cStringIO (top-level) missing module named 'backports.functools_lru_cache' - imported by soupsieve.util (conditional) missing module named iconv_codec - imported by bs4.dammit (optional) missing module named cchardet - imported by bs4.dammit (optional) missing module named lxml - imported by bs4.builder._lxml (top-level) missing module named 'html5lib.treebuilders' - imported by bs4.builder._html5lib (optional) missing module named 'html5lib.constants' - imported by bs4.builder._html5lib (top-level) missing module named html5lib - imported by bs4.builder._html5lib (top-level) missing module named Cookie - imported by requests.compat (conditional) missing module named cookielib - imported by requests.compat (conditional) missing module named simplejson - imported by pandas.util._print_versions (delayed, conditional, optional), requests.compat (optional) missing module named socks - imported by urllib3.contrib.socks (optional) missing module named _dummy_threading - imported by dummy_threading (optional) missing module named ConfigParser - imported by numpy.distutils.system_info (conditional), numpy.distutils.npy_pkg_config (conditional), pymysql.optionfile (conditional) missing module named scipy - imported by numpy.testing._private.nosetester (delayed, conditional), pandas.core.missing (delayed) missing module named numexpr - imported by pandas.core.computation.expressions (conditional), pandas.core.computation.engines (delayed) missing module named 'scipy.stats' - imported by pandas.plotting._matplotlib.hist (delayed), pandas.plotting._matplotlib.misc (delayed, conditional), pandas.core.nanops (delayed, conditional) missing module named 'scipy.signal' - imported by pandas.core.window (delayed, conditional) missing module named commands - imported by numpy.distutils.cpuinfo (conditional) missing module named setuptools.extern.packaging - imported by setuptools.extern (top-level), setuptools.dist (top-level), setuptools.command.egg_info (top-level) missing module named 'setuptools.extern.six' - imported by setuptools (top-level), setuptools.extension (top-level) missing module named setuptools.extern.six.moves.filterfalse - imported by setuptools.extern.six.moves (top-level), setuptools.dist (top-level), setuptools.msvc (top-level) missing module named setuptools.extern.six.moves.filter - imported by setuptools.extern.six.moves (top-level), setuptools.dist (top-level), setuptools.ssl_support (top-level), setuptools.command.py36compat (top-level) missing module named _manylinux - imported by setuptools.pep425tags (delayed, optional) missing module named wincertstore - imported by setuptools.ssl_support (delayed, optional) missing module named backports - imported by setuptools.ssl_support (optional) missing module named 'setuptools._vendor.six.moves' - imported by 'setuptools._vendor.six.moves' (top-level) missing module named 'setuptools.extern.pyparsing' - imported by setuptools._vendor.packaging.requirements (top-level), setuptools._vendor.packaging.markers (top-level) missing module named 'setuptools.extern.packaging.version' - imported by setuptools.msvc (top-level) missing module named setuptools.extern.six.moves.map - imported by setuptools.extern.six.moves (top-level), setuptools.dist (top-level), setuptools.command.easy_install (top-level), setuptools.sandbox (top-level), setuptools.package_index (top-level), setuptools.ssl_support (top-level), setuptools.command.egg_info (top-level), setuptools.namespaces (top-level) runtime module named setuptools.extern.six.moves - imported by setuptools.dist (top-level), setuptools.py33compat (top-level), setuptools.command.easy_install (top-level), setuptools.sandbox (top-level), setuptools.command.setopt (top-level), setuptools.package_index (top-level), setuptools.ssl_support (top-level), setuptools.command.egg_info (top-level), setuptools.command.py36compat (top-level), setuptools.namespaces (top-level), setuptools.msvc (top-level), 'setuptools._vendor.six.moves' (top-level) missing module named setuptools.extern.six - imported by setuptools.extern (top-level), setuptools.monkey (top-level), setuptools.dist (top-level), setuptools.extern.six.moves (top-level), setuptools.py33compat (top-level), setuptools.config (top-level), setuptools.command.easy_install (top-level), setuptools.sandbox (top-level), setuptools.py27compat (top-level), setuptools.package_index (top-level), setuptools.wheel (top-level), setuptools.command.egg_info (top-level), setuptools.command.sdist (top-level), setuptools.command.bdist_egg (top-level), setuptools.unicode_utils (top-level), setuptools.glob (top-level), setuptools.command.develop (top-level) missing module named 'numpy_distutils.cpuinfo' - imported by numpy.f2py.diagnose (delayed, conditional, optional) missing module named 'numpy_distutils.fcompiler' - imported by numpy.f2py.diagnose (delayed, conditional, optional) missing module named 'numpy_distutils.command' - imported by numpy.f2py.diagnose (delayed, conditional, optional) missing module named numpy_distutils - imported by numpy.f2py.diagnose (delayed, optional) missing module named 'nose.plugins' - imported by numpy.testing._private.noseclasses (top-level), numpy.testing._private.nosetester (delayed) missing module named numpy.core.number - imported by numpy.core (delayed), numpy.testing._private.utils (delayed) missing module named numpy.core.signbit - imported by numpy.core (delayed), numpy.testing._private.utils (delayed) missing module named numpy.core.float64 - imported by numpy.core (delayed), numpy.testing._private.utils (delayed) missing module named numpy.core.integer - imported by numpy.core (top-level), numpy.fft.helper (top-level) missing module named numpy.core.conjugate - imported by numpy.core (top-level), numpy.fft.pocketfft (top-level) missing module named numpy.core.sign - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.divide - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.object_ - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.geterrobj - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.sqrt - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.fft.pocketfft (top-level) missing module named numpy.core.add - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.complexfloating - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.inexact - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.cdouble - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.csingle - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.double - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.single - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.float32 - imported by numpy.core (top-level), numpy.testing._private.utils (top-level) missing module named numpy.core.intp - imported by numpy.core (top-level), numpy.testing._private.utils (top-level), numpy.linalg.linalg (top-level) missing module named numpy.eye - imported by numpy (delayed), numpy.core.numeric (delayed) missing module named dummy_thread - imported by numpy.core.arrayprint (conditional, optional) missing module named 'nose.util' - imported by numpy.testing._private.noseclasses (top-level) missing module named nose - imported by numpy.testing._private.utils (delayed, optional), numpy.testing._private.decorators (delayed), numpy.testing._private.noseclasses (top-level) missing module named win32pdh - imported by numpy.testing._private.utils (delayed, conditional) missing module named __svn_version__ - imported by numpy.f2py.__version__ (optional) missing module named numarray - imported by numpy.distutils.system_info (delayed, conditional, optional) missing module named Numeric - imported by numpy.distutils.system_info (delayed, conditional, optional) missing module named win32con - imported by distutils.msvccompiler (optional) missing module named _curses - imported by curses (top-level), curses.has_key (top-level) missing module named pytest - imported by numpy._pytesttester (delayed), pandas.util._tester (delayed, optional), pandas.util.testing (delayed, conditional, optional) missing module named future_builtins - imported by numpy.lib.npyio (conditional) missing module named cpickle - imported by numpy.compat.py3k (conditional) missing module named pickle5 - imported by numpy.compat.py3k (conditional, optional) missing module named numpy.histogramdd - imported by numpy (delayed), numpy.lib.twodim_base (delayed) missing module named numpy.lib.i0 - imported by numpy.lib (top-level), numpy.dual (top-level) missing module named 'scipy.sparse' - imported by pandas.core.sparse.scipy_sparse (delayed), pandas.core.arrays.sparse (delayed), pandas.core.dtypes.common (delayed, conditional, optional) missing module named botocore - imported by pandas.io.s3 (delayed) missing module named 'pyarrow.parquet' - imported by pandas.io.parquet (delayed) missing module named pyarrow - imported by pandas.io.feather_format (delayed) missing module named contextmanager - imported by dateutil.tz.tz (optional) runtime module named six.moves - imported by dateutil.tz.tz (top-level), dateutil.tz.win (top-level), dateutil.rrule (top-level) missing module named six.moves.range - imported by six.moves (top-level), dateutil.rrule (top-level) missing module named dateutil.tz.tzfile - imported by dateutil.tz (top-level), dateutil.zoneinfo (top-level) missing module named dateutil.tz.tzlocal - imported by dateutil.tz (top-level), dateutil.rrule (top-level) missing module named dateutil.tz.tzutc - imported by dateutil.tz (top-level), dateutil.rrule (top-level) missing module named PyQt4 - imported by pandas.io.clipboard.clipboards (delayed, optional), pandas.io.clipboard (delayed, conditional, optional) missing module named PyQt5 - imported by pandas.io.clipboard.clipboards (delayed, optional), pandas.io.clipboard (delayed, conditional, optional) missing module named qtpy - imported by pandas.io.clipboard.clipboards (delayed, optional), pandas.io.clipboard (delayed, conditional, optional) missing module named 'sqlalchemy.types' - imported by pandas.io.sql (delayed, conditional) missing module named 'sqlalchemy.schema' - imported by pandas.io.sql (delayed, conditional) missing module named sqlalchemy - imported by pandas.io.sql (delayed, conditional, optional) missing module named tables - imported by pandas.io.pytables (delayed, conditional) missing module named xlwt - imported by pandas.io.excel._xlwt (delayed) missing module named xlsxwriter - imported by pandas.io.excel._xlsxwriter (delayed) missing module named 'openpyxl.styles' - imported by pandas.io.excel._openpyxl (delayed) missing module named 'openpyxl.style' - imported by pandas.io.excel._openpyxl (delayed) missing module named openpyxl - imported by pandas.io.excel._openpyxl (delayed, conditional) missing module named xlrd - imported by pandas.io.excel._xlrd (delayed) missing module named 'odf.namespaces' - imported by pandas.io.excel._odfreader (delayed) missing module named 'odf.table' - imported by pandas.io.excel._odfreader (delayed) missing module named 'odf.opendocument' - imported by pandas.io.excel._odfreader (delayed) missing module named odf - imported by pandas.io.excel._odfreader (delayed) missing module named matplotlib - imported by pandas.plotting._matplotlib.boxplot (top-level), pandas.plotting._matplotlib.compat (delayed, optional), pandas.plotting._matplotlib.timeseries (delayed), pandas.plotting._matplotlib.core (delayed), pandas.io.formats.style (optional) missing module named 'matplotlib.pyplot' - imported by pandas.plotting._matplotlib.style (delayed), pandas.plotting._matplotlib.tools (delayed), pandas.plotting._matplotlib.core (delayed), pandas.plotting._matplotlib.timeseries (delayed), pandas.plotting._matplotlib.boxplot (delayed), pandas.plotting._matplotlib.hist (delayed), pandas.plotting._matplotlib.misc (delayed), pandas.plotting._matplotlib (delayed), pandas.io.formats.style (optional), pandas.util.testing (delayed) missing module named numpy.array - imported by numpy (top-level), numpy.ma.core (top-level), numpy.ma.extras (top-level), numpy.ma.mrecords (top-level), numpy.ctypeslib (top-level) missing module named numpy.recarray - imported by numpy (top-level), numpy.ma.mrecords (top-level) missing module named numpy.ndarray - imported by numpy (top-level), numpy.ma.core (top-level), numpy.ma.extras (top-level), numpy.ma.mrecords (top-level), numpy.ctypeslib (top-level), pandas.compat.numpy.function (top-level) missing module named numpy.dtype - imported by numpy (top-level), numpy.ma.mrecords (top-level), numpy.ctypeslib (top-level) missing module named numpy.bool_ - imported by numpy (top-level), numpy.ma.core (top-level), numpy.ma.mrecords (top-level) missing module named 'matplotlib.ticker' - imported by pandas.plotting._matplotlib.converter (top-level), pandas.plotting._matplotlib.tools (top-level), pandas.plotting._matplotlib.core (delayed) missing module named 'matplotlib.table' - imported by pandas.plotting._matplotlib.tools (top-level) missing module named 'matplotlib.colors' - imported by pandas.plotting._matplotlib.style (top-level) missing module named 'matplotlib.cm' - imported by pandas.plotting._matplotlib.style (top-level) missing module named 'matplotlib.patches' - imported by pandas.plotting._matplotlib.misc (top-level) missing module named 'matplotlib.lines' - imported by pandas.plotting._matplotlib.misc (top-level) missing module named 'matplotlib.axes' - imported by pandas.plotting._matplotlib.core (delayed) missing module named 'matplotlib.units' - imported by pandas.plotting._matplotlib.converter (top-level) missing module named 'matplotlib.transforms' - imported by pandas.plotting._matplotlib.converter (top-level) missing module named 'matplotlib.dates' - imported by pandas.plotting._matplotlib.converter (top-level) missing module named numpy.expand_dims - imported by numpy (top-level), numpy.ma.core (top-level) missing module named numpy.iscomplexobj - imported by numpy (top-level), numpy.ma.core (top-level) missing module named numpy.amin - imported by numpy (top-level), numpy.ma.core (top-level) missing module named numpy.amax - imported by numpy (top-level), numpy.ma.core (top-level) missing module named 'IPython.core' - imported by pandas.io.formats.printing (delayed, conditional) missing module named IPython - imported by pandas.io.formats.printing (delayed) missing module named s3fs - imported by pandas.io.common (delayed, optional) missing module named sets - imported by pytz.tzinfo (optional) missing module named numpy.random.randn - imported by numpy.random (top-level), pandas.util.testing (top-level) missing module named numpy.random.rand - imported by numpy.random (top-level), pandas.util.testing (top-level) missing module named hypothesis - imported by pandas.util._tester (delayed, optional) missing module named 'lxml.etree' - imported by pandas.io.html (delayed) missing module named 'lxml.html' - imported by pandas.io.html (delayed)
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