reshape drops

# Linear regression least squaresFrom Sklearn import Linear_modelImport SysImport Tushare as TSImport Matplotlib.pyplot as PltImport Pandas as PDImport Sklearn.metrics as SMSh=ts.get_hist_data (' sh '). Sort_index () #获取上证指数每日数据 and sorted by time indexPf=ts.get_hist_data (' 600000 '). Sort_index () #获取浦发银行数据 and sorted by time indexsh[' re ']=np.log (sh[' close ']/sh[' Close '].shift (1)) #计算上证指数收益率pf[' re ']=np.log (pf[' close ']/pf[' Close '].shift (1)) #计算浦发银行收益率Sh=sh.dropna () #删除缺失值Pf=pf.d

;Print(a) -[10 12 14 16 18] Wu - #use reshape to change the shape of the data About>>> a = Np.arange (a). Reshape ((3,4))#3 Rows, 4 columns, 0 to one $>>>Print(a) -[0 1 2 3] -[4 5 6 7] -[8 9 10 11]] A + #To create a segment type data with Linspace: the>>> a = Np.linspace (1,10,20)#start end 1, end 10, and split into 20 data to generate a segment ->>>Print(a) $[1.1.47368421 1.94736842 2.42105263 2.89473684

The slice index of the array:　　The tile index of the array is very similar to the list, and the following code is a simple explanation 1A = Np.random.rand (+). Reshape (4, 4)2 Print("Array a:\n", a)3 Print(A[-1][1:4])4 out[1]: 5 Array A:6[0.04175379 0.43013992 0.5398909 0.40638248]7[0.3305902 0.11958799 0.48680358 0.30755734]8[0.00893887 0.3848716 0.21018253 0.88170218]9[0.80198391 0.4922656 0.67535542 0.64647139]]Ten[0.4922656 0.67535542

read_image (file_name): #Read the files in binary mode first File_handle = open (file_name, "RB") #Open the document in binary File_content = file_handle.read () #Read into the buffer Offset = 0 Head = Struct.unpack_from ('> iiii', file_content, offset) # takes the first 4 integers, returns a tuple Offset + = struct.calcsize (' GT; IIII') Imgnum = head [1] #Number of pictures rows = head [2] #width cols = head [3] #height # Print (Imgnum) # print (rows) # Print (cols) #Test whether to read an

) results = Np.array ( Results) for I in range (m): L1, = Plt.plot (Results[i].reshape (1), ' co ', LW = 0.1, alpha = 0.05, label = ' n Oisy training Data ') L2 = Plt.plot (true_signal (x), ' m ', label = ' hidden True signal ') plt.legend (handles = [L1, l 2], loc = ' lower left ') plt.show () 2. Establish a basic RNN model2.1 Parameter Settings # # Parameters learning_rate = 0.01 Lambda_l2_reg = 0.003 # network Parameters # Length of inpu

*10*3 Batch_size = display_ste p = Ten # Network Parameters n_input = 784 # MNIST Data input (img shape:28*28) n_classes = ten # MNIST total classes (0-9 digits) dropout = 0.75 # dropout, probability to keep units # tf Graph input x = Tf.placeholder (Tf.float32, [None, N_INP UT]) y = Tf.placeholder (Tf.float32, [None, n_classes]) Keep_prob = Tf.placeholder (tf.float32) #dropout (keep probability) # Create Some wrappers for simplicity Def conv2d (x, W, B, Strides=1): # conv2d wrapper, with bi

very good, the RTT is longer and often drops packets. TCP protocol is also lost packets, lost packets; TCP is designed to solve the problem of reliable transmission on unreliable lines, that is, in order to solve the loss of packets, but packet loss makes the TCP transmission speed greatly decreased. The HTTP protocol uses the TCP protocol at the transport layer, so the speed of the page download depends on the speed of the TCP single-threaded downlo

The story of BrineTime limit:2000/1000 MS (java/others) Memory limit:65536/32768 K (java/others)Total submission (s): 14657 Accepted Submission (s): 3555Problem description Hang brine when, if drip up to have regular, first drop a drop, stop, then drop two drops, stop for a moment, drop three drops, stop ..., now there is a problem: this bottle of salt water has a total of Vul ml, each drop is a D ml, The

Recently made a project, which has the need to achieve the rain snow animation effects, so this made a drop component to show this canvas common drop object effect. Before you introduce the text, first show you the effect of the picture: Show Effect Chart: It rains and snows. It looks good, and it's easier to use canvas than to create a multiple-object displacement animation with a DOM element, and better performance Calling code Okay, so here's the simple implementation pr

limitation, viewing the loopback MTU value:[Email protected] ~]# CAT/SYS/CLASS/NET/LO/MTU65536The effect of IP packet UDP packet lengthAs mentioned above, due to network interface card constraints, the length of the MTU is limited to 1500 bytes, this length refers to the data area of the link layer. Packets larger than this value may be fragmented, otherwise they cannot be sent, while packet-switched networks are unreliable and there are drops. The s

There is a recent project need to have a rain and snow animation effects, here made a drop of the component, to show this canvas common drop object effect. So, =. = Let's see the effect first. # #效果展示 Calling code It rains and snows. It looks good, and it's easier to use canvas than to create a multiple-object displacement animation with a DOM element, and better performance# #源码讲解Okay, so here's the simple implementation principle first, define some of the global variables we'll use,

the water droplets to appear. You can also use the Eraser tool to edit or remove existing water droplets. 　　8. Add a text layer to the document.Press the (T) keyboard key to activate the type tool.In the upper option bar, click the Palette button to open the character palette.In the character palette, select the font you want. Sets the color to black. Then click the Paragraph tab and click the Center Text button on the upper left portion of the palette.Now click the Document Center and enter Ra

, drops vertically below the 5ˊ point between 6 and 7, continues down the stream, and drops vertically from 7 to the opposite of the peak 10, because 10 points have a corrected maximum value than 4 points. The half loop 4-5-7 is obtained. The fifth flow starts at 5 o'clock, flows to 6 points, drops vertically, and ends at 7 points, since 7 points have a more nega

Balls Time Limit: 1000MS Memory Limit: 65536K Total Submissions: 664 Accepted: 463 DescriptionThe classic Glass Balls Brain-teaser is often posed as:"Given-identical glass spheres, you would as-determine the lowest floor in a 100-story building from which they w Ill break when dropped. Assume the spheres is undamaged when dropped below this point. What's the strategy that would minimize the worst-case scenario for number of

are using? 3.4 does not seem to have an appropriate veIf it is 3.3, I can follow the following method (you can search for it online ): Eclipse tool project mainly uses Graphical Editor framework (GEF) project, EMF, VE. I have suffered a lot ...... of course, you want to use eclipse's visual edit project plug-in. I downloaded ve1.2.3 because ve can only work with the corresponding versions of GEF, EMF, and eclipse sdks. The names of the downloaded files are: Eclipse-SDK-3.3-win32 Emf-sdo-runtime

of as being connected by virtual or logical links, each of which corresponds to a path,Perhaps through many physical links, in the underlying network. For example,Distributed Systemssuch asPeer-to-peerNetworks andClient-serverapplications is overlay networks because their nodes run on top of theInternet. The Internet is originally built as an overlay upon theTelephone Network, while today (through the Advent ofVoIP), the telephone network is increasingly turning to a overlay network built on to

stages.Slow start phase, in the absence of packet loss each received an ACK will be the congestion window size plus one (unit is MSS, the maximum single message length), each round of the sending window increases by one times, exponential growth, if the packet drops, the congestion window is halved, into the congestion avoidance phase; When the window reaches the slow boot threshold or drops, Into the cong

I. Physical Layer 1, function: 2, twisted pair wires: The network cable exceeds 100 meters, and the signal will be weakened. It can be solved through a switch. The switch can not only forward data frames, but also reshape the signal, it can extend the connection distance of the network cable. 3. The optical fiber transmission distance is long, and the signal attenuation is small. The unit is kilometers. 4. Wired medium (twisted pair wire, optical fibe

) write_file.close () In this way, an olivettifaces. pkl file is obtained under the/home/wepon/directory. This file stores a 400*2679 vector and a 400*1 vector, representing the sample and sample category. Read a single image from olivettifaces. pkl: To view a single image, you must first reshape the vector representing the 2679 dimension of the image, for example, faces [1]. reshape (57,47 ). Call pylab t

Python Study Notes (2) -- NumPy Python can use List as an array, but since the List element can be any object, saving a List requires saving all pointers and elements. Memory consumption. This article is a blog Study: Using Python for scientific computing to sort out notes for future use. First, import the NumPy function library importnumpy as np Create an array Array Use array to create multi-dimensional arrays a = np.array([[1, 2, 3, 4],[4, 5, 6, 7], [7, 8, 9,10]]) Shape Use shape to obt