row_id int64 0 48.4k | init_message stringlengths 1 342k | conversation_hash stringlengths 32 32 | scores dict |
|---|---|---|---|
17,983 | все ли верно ? это метод из homefragment : fun placeHolder(adapterPosition: Int) {
Toast.makeText(requireContext(), adapterPosition, Toast.LENGTH_SHORT).show()
}
код адаптера : package com.example.cinema_provider_app.main_Fragments.Home_Fragment.Adapters
import android.view.LayoutInflater
import android.... | 291db081ab38a4b2fac4810f81624675 | {
"intermediate": 0.4370880126953125,
"beginner": 0.30660179257392883,
"expert": 0.2563101351261139
} |
17,984 | properly endoded url with ut8 in in c# | a45702544d8f4baa172a2a2ca1a430cd | {
"intermediate": 0.3629428744316101,
"beginner": 0.2629595100879669,
"expert": 0.37409767508506775
} |
17,985 | How does working this code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth... | b726db5c3514c407a58e2515cafaa569 | {
"intermediate": 0.6042636036872864,
"beginner": 0.17898505926132202,
"expert": 0.2167513221502304
} |
17,986 | I used this code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | bf813536bf0441a474e399fd9fb15cff | {
"intermediate": 0.43210774660110474,
"beginner": 0.19994939863681793,
"expert": 0.36794283986091614
} |
17,987 | I used this code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | 0a588549bfbb10da1cc2e6f2686887b9 | {
"intermediate": 0.38447320461273193,
"beginner": 0.3491296172142029,
"expert": 0.2663972079753876
} |
17,988 | Is it possible to write VBA code to an excel sheet using VBA.
What I am trying to do is as follows.
When a sheet is activated, VBA is copied from a template into the activated excel sheets VBA page. | 4d58f49f0846fe11a906e58c3397c2a6 | {
"intermediate": 0.26998835802078247,
"beginner": 0.4947652518749237,
"expert": 0.23524634540081024
} |
17,989 | how to create a Zabbix data item for counting the number of added lines to a log file in the last 5 minutes | 73a93a8163958679939454ce8de03a64 | {
"intermediate": 0.5213379859924316,
"beginner": 0.16549135744571686,
"expert": 0.3131706416606903
} |
17,990 | как думаешь, стоит ли использовать такой код для бэкенда сайта?
const projects = await Project.findAll({
include: {
model: Contributor,
include: {
model: User
}
}
})
const data = projects.map(project => ({
... | 2ea627b9fadeb971874c6e9406064dc7 | {
"intermediate": 0.4152921438217163,
"beginner": 0.36179718375205994,
"expert": 0.22291065752506256
} |
17,991 | explain different ways to get instance from a class in java | 18175c8b6389239df317bc109fa8667a | {
"intermediate": 0.4351738691329956,
"beginner": 0.44180360436439514,
"expert": 0.12302253395318985
} |
17,992 | You've dropped your (12-Hour) digital alarm clock; somehow the minutes were added to the hours! Since you do not know the current time, you need to figure out all the possible times that could have been on the clock before you dropped it (In ascending order).
Input
Line 1: An integer t that represents the total value d... | bfd741da76659246f463db2ae99fc5e8 | {
"intermediate": 0.4364151060581207,
"beginner": 0.3385533094406128,
"expert": 0.2250315546989441
} |
17,993 | I moved the code below from the Sheet VBA into a Module. Now I am getting an error on the line 'Target.Offset(0, -5).Value = "Serviced"' : Public Sub ServiceCreation()
MsgBox "A New Service row will now be created"
Target.Offset(0, -5).Value = "Serviced"
Target.Offset(0, 1).Value = ""
Dim newRow As Lon... | eb26705f1f311da3ca50ce64b1c084e0 | {
"intermediate": 0.3309125006198883,
"beginner": 0.4265485107898712,
"expert": 0.24253901839256287
} |
17,994 | generate a simple string in java for me | bfba64371261890fe7355b9c5d422d3c | {
"intermediate": 0.5592747330665588,
"beginner": 0.18490341305732727,
"expert": 0.2558218240737915
} |
17,995 | I used this code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | d60316c457ba94c5a0063c905bb62046 | {
"intermediate": 0.39727842807769775,
"beginner": 0.3169536590576172,
"expert": 0.28576788306236267
} |
17,996 | I used this code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | d74e760e74c9a521cd0cae82c140f146 | {
"intermediate": 0.4098619222640991,
"beginner": 0.26969289779663086,
"expert": 0.3204452097415924
} |
17,997 | I used this code:def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if ... | 5ebe04d59d47cbc22a78ef9e5a3e4172 | {
"intermediate": 0.45324599742889404,
"beginner": 0.17825151979923248,
"expert": 0.3685024678707123
} |
17,998 | How do I fix a Snapraid error that says data error in parity position diff bits | 549949607b4f7d84680944242aa97875 | {
"intermediate": 0.5952531695365906,
"beginner": 0.08097656071186066,
"expert": 0.3237702548503876
} |
17,999 | Is it possible to double click on a cell in the range J5:J100 and cause a text document to open with the values of column L of the same row displayed in the text document.
If the text document is edited, when closed the edited text is then saved to the cell in column L, overwriting the original value. | dcc886d0dadcbf86f782f04dbc9702e2 | {
"intermediate": 0.44007930159568787,
"beginner": 0.2071419209241867,
"expert": 0.35277873277664185
} |
18,000 | why i get this error :
/root/Env/imdb/lib/python3.8/site-packages/scipy/stats/_continuous_distns.py:411: RuntimeWarning: Mean of empty slice.
loc = data.mean()
/root/Env/imdb/lib/python3.8/site-packages/numpy/core/_methods.py:192: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rco... | 896b1b05b31b4265b6e1b6675f388c4c | {
"intermediate": 0.37049761414527893,
"beginner": 0.5006582140922546,
"expert": 0.12884415686130524
} |
18,001 | Давай напишем пример программы на arduino для esp32. К пину 0 подключена матрица светодиодов ws2812. Подключен микрофон inmp441 к пинам I2S_WS 33, I2S_SD 32, I2S_SCK 27. Нужно использовать библиотек FFT library и нарисовать спектр, при этом использовать минимальное количество памяти для переменных | 1344e75bdb26ba5b42a97be9b04bfc27 | {
"intermediate": 0.554765522480011,
"beginner": 0.2165064513683319,
"expert": 0.2287280261516571
} |
18,002 | create table t1 (id int, name char(1))
insert into t1 values(1, 'a'), (2, 'b'), (3,'c'), (7,'d'), (9,'f')
select id, name from t1
--Q: expected result:
--id name result
--1 a f
--2 b d
--3 c c
--7 d b
--9 f a | 9f916634c7f821186f82b4da93e54ebd | {
"intermediate": 0.4288957715034485,
"beginner": 0.26380571722984314,
"expert": 0.3072985112667084
} |
18,003 | delete injured players from players table | f2363a51d4d5115a606375a7a1e5552e | {
"intermediate": 0.36206144094467163,
"beginner": 0.27692529559135437,
"expert": 0.3610133230686188
} |
18,004 | use numbers as pixels,make 80x80 symbols picture.sarah silverman face.do not use ASCII,just make it as if you wrote a text lines | 918a5e40795457d547928c9d78f35d8d | {
"intermediate": 0.3793371915817261,
"beginner": 0.2804296612739563,
"expert": 0.34023311734199524
} |
18,005 | vnx,mnvc | 89ad49acadd3f125c70a52b481b11eaa | {
"intermediate": 0.3147883713245392,
"beginner": 0.32181671261787415,
"expert": 0.3633948564529419
} |
18,006 | Write a SQL query to get the SCD - TYPE 2 Dimension achieve using SQL query.
ENO & ENAME are business key, here any change happen to SAL or Dept has to maintain SCD-TYPE2
EMP_DIM (Target Table) ENO ENAME SAL DEPT Active_flag
100 ABC 1000 CSE 0
102 XYZ 2000
CSE 1 104 PQR 500
IT 1 100 ABC 3000
CSE 1
Source R... | eb74b7181a3309ccaaa0d56a28545aa2 | {
"intermediate": 0.3610984683036804,
"beginner": 0.34196504950523376,
"expert": 0.2969364821910858
} |
18,007 | 写一段代码，若给出一组点可以根据点使用拉格朗日插值形成一条曲线，并且用pyqt开窗口绘制出来 | 813824a8134bcc116d8b00adb2251dfa | {
"intermediate": 0.3129587471485138,
"beginner": 0.33783090114593506,
"expert": 0.34921035170555115
} |
18,008 | style my material react component to be in middle of screen | 1519f6bceb709cdbbbed2bf47baffbbd | {
"intermediate": 0.3290807902812958,
"beginner": 0.3366887867450714,
"expert": 0.3342303931713104
} |
18,009 | what is data entry | e01ba2d16811e740ee90974270b8125d | {
"intermediate": 0.30710741877555847,
"beginner": 0.4481332004070282,
"expert": 0.24475935101509094
} |
18,011 | give me simple code | f0bc4cb1db3cf34a91394df01cd8a8d0 | {
"intermediate": 0.11996177583932877,
"beginner": 0.6123875975608826,
"expert": 0.26765063405036926
} |
18,012 | Within Mininet, create the following topology. Here h1 is a remote server (ie google.com) on
the Internet that has a fast connection (1Gb/s) to your home router with a slow downlink
connection (10Mb/s). The round-trip propagation delay, or the minimum RTT between h1
and h2 is 6ms. The router buffer size can hold 100 fu... | 497f6b466effd1f7032f0e5a13b80c09 | {
"intermediate": 0.45659321546554565,
"beginner": 0.18975581228733063,
"expert": 0.3536509573459625
} |
18,013 | I used your code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | 57a2920bb749a5337b1575e75b5fd54c | {
"intermediate": 0.3983486592769623,
"beginner": 0.21376821398735046,
"expert": 0.38788312673568726
} |
18,014 | how can i make my requests use TLS?
package main
import (
"encoding/json"
"net/http"
"math/rand"
"strconv"
"time"
"fmt"
)
type UAResponse struct {
UserAgents []string `json:"user_agents"`
}
func getUserAgents() []string {
url := "http://127.0.0.1:5000/api/get_ua";
req, _ := http.NewRequest("GET", url, ... | 033ebe37403c47eecb8a240d6739f1a9 | {
"intermediate": 0.292242169380188,
"beginner": 0.34879228472709656,
"expert": 0.35896557569503784
} |
18,015 | explain trading bots | 74e854768f8bc8a9d0349a52c96dcfc5 | {
"intermediate": 0.28117504715919495,
"beginner": 0.33469951152801514,
"expert": 0.3841255009174347
} |
18,016 | I used this code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | 7f9fc5f4d1db58c0d314fdb367b226ca | {
"intermediate": 0.39434459805488586,
"beginner": 0.2455860674381256,
"expert": 0.36006927490234375
} |
18,017 | I used this code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | 75afb5dae6a12af71b3e338716b9235e | {
"intermediate": 0.4209422469139099,
"beginner": 0.23945021629333496,
"expert": 0.3396076261997223
} |
18,018 | java testing using stub how to deal with comparison of objects ? | b439ff9600fa168f3c6cfdc911c2e372 | {
"intermediate": 0.7055811882019043,
"beginner": 0.08588086813688278,
"expert": 0.2085379809141159
} |
18,019 | When I double click on a cell and it calls the event - Private Sub Worksheet_BeforeDoubleClick(ByVal Target As Range, Cancel As Boolean)
depending on the vba action
It sometime calls the event Private Sub Worksheet_Change(ByVal Target As Range)
How can I prevent this | 52be082df76fe185d645987a43b2efe1 | {
"intermediate": 0.6663116216659546,
"beginner": 0.15794304013252258,
"expert": 0.17574529349803925
} |
18,020 | Physical design.
The physical design phase in various methodologies is called "Design at the storage level" or "Design implementation". This is the implementation stage in a specific software environment (in a specific DBMS). The fulfillment of such requirements as productivity, efficiency and reliability of functionin... | bc49e67715f1e9419cb042e54c82126d | {
"intermediate": 0.23051588237285614,
"beginner": 0.45262616872787476,
"expert": 0.3168579638004303
} |
18,021 | from openpyxl import load_workbook
import pandas as pd
# 打开Excel文件
wb = load_workbook(filename=r'C:\Users\LIQI\Documents\民生基金\行业打分\钢铁数据跟踪汇总.xlsx', read_only=True, data_only=True)
# 选择指定的sheet
sheet = wb['产销数据'] # 这里的Sheet3是你要读取的sheet名称，可以根据实际情况修改
# 选择指定的列
columns = [0, 11, 12, 13, 14, 15]
# 读取数据
data = []
for row ... | a0a4574f68fd6e2a6395b151bc6cbbec | {
"intermediate": 0.38120245933532715,
"beginner": 0.3119480013847351,
"expert": 0.3068494498729706
} |
18,022 | Act as a Chrome Extension developer. Generate code for chrome extension to scrap google maps places data with proper files and folder structure. | cfe18b96238c6a9032579a361ad863f3 | {
"intermediate": 0.4905896484851837,
"beginner": 0.20573550462722778,
"expert": 0.3036748170852661
} |
18,023 | I used your code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | 0af71e1b17423b4d600ed54952ddee2e | {
"intermediate": 0.37353649735450745,
"beginner": 0.28985893726348877,
"expert": 0.3366045355796814
} |
18,024 | class News(models.Model):
id = models.AutoField(primary_key=True, verbose_name='id')
writer = models.CharField(max_length=200, verbose_name='writer')
title = models.CharField(max_length=200, blank=True, verbose_name='title')
text = models.TextField(blank=True)
url = models.URLField(blank=True)
python
Copy
def __str__(... | 173986e51b8bb090aaf340ad352f23ea | {
"intermediate": 0.2606687843799591,
"beginner": 0.5387904644012451,
"expert": 0.2005407065153122
} |
18,025 | I used your code : def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) i... | e16df5b7c25d3404de3660210dd295f0 | {
"intermediate": 0.479497492313385,
"beginner": 0.23644982278347015,
"expert": 0.28405264019966125
} |
18,026 | from openpyxl import load_workbook
import pandas as pd
import datetime
# 打开Excel文件
wb = load_workbook(filename=r'C:\Users\LIQI\Documents\民生基金\行业打分\钢铁数据跟踪汇总.xlsx', read_only=True, data_only=True)
# 选择指定的sheet
sheet = wb['产销数据'] # 这里的Sheet3是你要读取的sheet名称，可以根据实际情况修改
# 选择指定的列
columns = [0, 11, 12, 13, 14, 15]
# 读取数据
da... | d412f2bb7a13d307eac5efda9e78616a | {
"intermediate": 0.36316946148872375,
"beginner": 0.39141619205474854,
"expert": 0.2454143762588501
} |
18,027 | Write a matlab function for making a step-down counter from 10 to 1 | 3a83f3d759e6070920a1ed0693abcb6b | {
"intermediate": 0.15968920290470123,
"beginner": 0.2344236820936203,
"expert": 0.6058870553970337
} |
18,028 | could you post the past scripts | acc9bcb46c65399c65b0542b7327f51f | {
"intermediate": 0.3199043273925781,
"beginner": 0.3908480703830719,
"expert": 0.28924763202667236
} |
18,029 | def zdres(nav, obs, rs, dts, svh, rr, rtype=1):
""" non-differencial residual """
_c = gn.rCST.CLIGHT
nf = nav.nf
n = len(obs.P)
y = np.zeros((n, nf*2))
el = np.zeros(n)
e = np.zeros((n, 3))
rr_ = rr.copy()
if nav.tidecorr:
pos = gn.ecef2pos(rr_)
disp = tidedisp(gn.gp... | 313c057eb677f092bbd0213886781694 | {
"intermediate": 0.3385579586029053,
"beginner": 0.37007948756217957,
"expert": 0.29136255383491516
} |
18,030 | I have this code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if bid... | 1e067dda8de79aceceef979036670220 | {
"intermediate": 0.47286248207092285,
"beginner": 0.24768295884132385,
"expert": 0.2794545888900757
} |
18,031 | def ddres(nav, x, y, e, sat, el):
""" DD phase/code residual """
_c = gn.rCST.CLIGHT
nf = nav.nf
ns = len(el)
mode = 1 if len(y) == ns else 0 # 0:DD,1:SD
nb = np.zeros(2*len(nav.gnss_t)*nf, dtype=int)
Ri = np.zeros(ns*nf*2)
Rj = np.zeros(ns*nf*2)
nv = 0
b = 0
H = np.zeros((... | 624695c5667bad8e9d3069ff3e71d8dc | {
"intermediate": 0.3953838348388672,
"beginner": 0.4203895330429077,
"expert": 0.18422666192054749
} |
18,032 | def restamb(nav, bias, nb):
""" restore SD ambiguity """
nv = 0
xa = nav.x.copy()
xa[0:nav.na] = nav.xa[0:nav.na]
for m in range(gn.uGNSS.GNSSMAX):
for f in range(nav.nf):
n = 0
index = []
for i in range(gn.uGNSS.MAXSAT):
sys, _ = gn.sat2p... | df77a3dd3299ceed2c4c848176783263 | {
"intermediate": 0.29090386629104614,
"beginner": 0.44955071806907654,
"expert": 0.2595454454421997
} |
18,033 | I used your code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | 2f53278b48d0315cbe8ba72725139483 | {
"intermediate": 0.43996462225914,
"beginner": 0.21528491377830505,
"expert": 0.34475043416023254
} |
18,034 | def holdamb(nav, xa):
""" hold integer ambiguity """
nb = nav.nx-nav.na
v = np.zeros(nb)
H = np.zeros((nb, nav.nx))
nv = 0
for m in range(gn.uGNSS.GNSSMAX):
for f in range(nav.nf):
n = 0
index = []
for i in range(gn.uGNSS.MAXSAT):
sys, ... | 6ae9a327b469ef721e35e4179f61d0ba | {
"intermediate": 0.27358514070510864,
"beginner": 0.49894627928733826,
"expert": 0.2274685949087143
} |
18,035 | def resamb_lambda(nav, sat):
""" resolve integer ambiguity using LAMBDA method """
nx = nav.nx
na = nav.na
xa = np.zeros(na)
ix = ddidx(nav, sat)
nb = len(ix)
if nb <= 0:
print("no valid DD")
return -1, -1
# y=D*xc, Qb=D*Qc*D', Qab=Qac*D'
y = nav.x[ix[:, 0]]-nav.x[ix... | df36cf8f7fd6d75e30fa31fcbb30d513 | {
"intermediate": 0.4436250627040863,
"beginner": 0.24616596102714539,
"expert": 0.3102090060710907
} |
18,036 | Generate a good looking and modern html template for "google maps scraping" chrome extension | 5baffb2d2cd07fb736079133d583e4ed | {
"intermediate": 0.3832271099090576,
"beginner": 0.22757282853126526,
"expert": 0.3892000913619995
} |
18,037 | I have this code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | afc86bfe3a47a8f7ca3c327c1d9d68fd | {
"intermediate": 0.4599379003047943,
"beginner": 0.34426170587539673,
"expert": 0.19580042362213135
} |
18,038 | Generate a good looking and modern html landing page for “google maps scraping” chrome extension | de92ec815044cf819c6e19645750d701 | {
"intermediate": 0.3259631097316742,
"beginner": 0.24711903929710388,
"expert": 0.4269178509712219
} |
18,039 | I used your code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | 03d455a48152219c7cb429a48c3143ad | {
"intermediate": 0.4249280095100403,
"beginner": 0.23336215317249298,
"expert": 0.34170979261398315
} |
18,040 | #include<iostream>
#include<fstream>
#include<vector>
#include<sstream>
#include<cstring>
using namespace std;
int loc(vector<string> v, string word) {
for (int i = 0; i<v.size();i++) {
if (v[i]==word) {
return i;
}
}
return -1;
}
int main(int count, char** args) {
... | 47b693094b8aa7801a7b9518dc203aeb | {
"intermediate": 0.3010767698287964,
"beginner": 0.47371307015419006,
"expert": 0.22521013021469116
} |
18,041 | Im making a program for linux in go that needs to be auto updated, its just a binary that occasionally needs an update and i was wondering if i should make the auto updater a seperate file in shell or something as i dont want multiple binaries nor know how id do it in the same binary | 3c5d67026a68413a2a51c061951d3fe1 | {
"intermediate": 0.44035136699676514,
"beginner": 0.28229135274887085,
"expert": 0.2773573398590088
} |
18,042 | from openpyxl import load_workbook
import pandas as pd
import datetime
# 打开Excel文件
wb = load_workbook(filename=r'C:\Users\LIQI\Documents\民生基金\行业打分\钢铁数据跟踪汇总.xlsx', read_only=True, data_only=True)
# 选择指定的sheet
sheet = wb['产销数据'] # 这里的Sheet3是你要读取的sheet名称，可以根据实际情况修改
# 选择指定的列
columns = [0, 11, 12, 13, 14, 15]
# 读取数据
da... | 627e45d09b5a13faa478511ea459aa34 | {
"intermediate": 0.3986034095287323,
"beginner": 0.4103924632072449,
"expert": 0.19100405275821686
} |
18,043 | from openpyxl import load_workbook
import pandas as pd
import datetime
# 打开Excel文件
wb = load_workbook(filename=r'C:\Users\LIQI\Documents\民生基金\行业打分\钢铁数据跟踪汇总.xlsx', read_only=True, data_only=True)
# 选择指定的sheet
sheet = wb['产销数据'] # 这里的Sheet3是你要读取的sheet名称，可以根据实际情况修改
# 选择指定的列
columns = [0, 11, 12, 13, 14, 15]
# 读取数据
da... | 418e479317caea88c0a72ef6bf849c79 | {
"intermediate": 0.32341375946998596,
"beginner": 0.4307413399219513,
"expert": 0.24584487080574036
} |
18,044 | make gui window bigger in python | a9f55e1d71f9a35fec02197e61521fba | {
"intermediate": 0.36242932081222534,
"beginner": 0.2580845355987549,
"expert": 0.3794861435890198
} |
18,045 | I have this code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | 04282a904467d6527de4e81ca91cd99e | {
"intermediate": 0.3902249336242676,
"beginner": 0.19710585474967957,
"expert": 0.41266918182373047
} |
18,046 | Create dropdown menu using reactt | 1eaab4938c5e7beb0e659a3f2b6a0164 | {
"intermediate": 0.4128503203392029,
"beginner": 0.21975427865982056,
"expert": 0.36739540100097656
} |
18,047 | how to setup two smart card reader at the same time in python | b59c8d04716d541bc9307c0ca9720437 | {
"intermediate": 0.23389074206352234,
"beginner": 0.18787935376167297,
"expert": 0.5782299041748047
} |
18,048 | how c# check duplicate unity event Action listeners | ba0aa3dbbf70eb8dfaf273a78e5295c0 | {
"intermediate": 0.5365151166915894,
"beginner": 0.21523892879486084,
"expert": 0.24824590981006622
} |
18,049 | where is cookies.pkl file | 33320843a82d209aad203b352b2b8b0a | {
"intermediate": 0.3465932607650757,
"beginner": 0.37897172570228577,
"expert": 0.27443498373031616
} |
18,050 | from openpyxl import load_workbook
import pandas as pd
import datetime
# 打开Excel文件
wb = load_workbook(filename=r'C:\Users\LIQI\Documents\民生基金\行业打分\钢铁数据跟踪汇总.xlsx', read_only=True, data_only=True)
# 选择指定的sheet
sheet = wb['产销数据'] # 这里的Sheet3是你要读取的sheet名称，可以根据实际情况修改
# 选择指定的列
columns = [0, 11, 12, 13, 14, 15]
# 读取数据
da... | f1757c6b45341b07028a7ac588393609 | {
"intermediate": 0.3187708258628845,
"beginner": 0.5555264949798584,
"expert": 0.1257026642560959
} |
18,051 | from openpyxl import load_workbook
import pandas as pd
import datetime
# 打开Excel文件
wb = load_workbook(filename=r'C:\Users\LIQI\Documents\民生基金\行业打分\钢铁数据跟踪汇总.xlsx', read_only=True, data_only=True)
# 选择指定的sheet
sheet = wb['产销数据'] # 这里的Sheet3是你要读取的sheet名称，可以根据实际情况修改
# 选择指定的列
columns = [0, 11, 12, 13, 14, 15]
# 读取数据
da... | 8be4e1042373a07d6cc187d87688a29a | {
"intermediate": 0.46812787652015686,
"beginner": 0.32560455799102783,
"expert": 0.2062675505876541
} |
18,052 | ForEach-Object -Parallel如何使用？ | 98f3ba119c47afae3d5e12a136df3e74 | {
"intermediate": 0.30281272530555725,
"beginner": 0.284791499376297,
"expert": 0.4123958349227905
} |
18,053 | from openpyxl import load_workbook
import pandas as pd
import datetime
# 打开Excel文件
wb = load_workbook(filename=r'C:\Users\LIQI\Documents\民生基金\行业打分\钢铁数据跟踪汇总.xlsx', read_only=True, data_only=True)
# 选择指定的sheet
sheet = wb['产销数据'] # 这里的Sheet3是你要读取的sheet名称，可以根据实际情况修改
# 选择指定的列
columns = [0, 11, 12, 13, 14, 15]
# 读取数据
da... | 2666b27d1defb90e2332c2201f2031ff | {
"intermediate": 0.4194113612174988,
"beginner": 0.3160271942615509,
"expert": 0.2645614743232727
} |
18,054 | I used your code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | 183018f0a639d542b2a14ec1e41e3b2d | {
"intermediate": 0.469550758600235,
"beginner": 0.28180965781211853,
"expert": 0.24863958358764648
} |
18,055 | I have a class A and class B. A has List<B> Items in it and I want use Items.AddRange() input of AddRange is a list of string that can use to new B. how to do it in dotnet | f33f26726140de3f867aed302e95f199 | {
"intermediate": 0.45464006066322327,
"beginner": 0.3179045021533966,
"expert": 0.22745545208454132
} |
18,056 | const publish = () => {
if (!isSubscribed) return;
if (!cameras[pair]) {
cameras[pair] = 0;
}
const zoomedTickSize = priceStep * aggregation;
const startMicroPrice = cameras[pair] + rowsCount / 2 * zoomedTickSize - zoomedTickSize;
const centerCupPosition = parseInt((Math.ceil(bestAskPrice / zoomedTickSize) * zoomedTi... | 9928bdb9d2dbe72ea4c1ea8e5cdc37a4 | {
"intermediate": 0.33061662316322327,
"beginner": 0.5115088820457458,
"expert": 0.1578744798898697
} |
18,057 | Can you please check if the code I have written has any error and if it can still be optimised: Private Sub Worksheet_Change(ByVal Target As Range)
Dim rngI As Range
Dim rngG As Range
Dim cell As Range
Dim innercell As Range
If Target.CountLarge > 1 Then Exit Sub
If Not Intersect(Target, Range("I6:I505")) Is Nothing T... | 83d8ae3f2f55371448fe59eb4c64e5ac | {
"intermediate": 0.32538095116615295,
"beginner": 0.4190847873687744,
"expert": 0.25553426146507263
} |
18,058 | I used your code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | 13c3498742af4a0e06efcbaeaaa70da5 | {
"intermediate": 0.45693156123161316,
"beginner": 0.3412295877933502,
"expert": 0.20183880627155304
} |
18,059 | from openpyxl import load_workbook
import pandas as pd
import datetime
# 打开Excel文件
wb = load_workbook(filename=r'C:\Users\LIQI\Documents\民生基金\行业打分\钢铁数据跟踪汇总.xlsx', read_only=True, data_only=True)
# 选择指定的sheet
sheet = wb['产销数据'] # 这里的Sheet3是你要读取的sheet名称，可以根据实际情况修改
# 选择指定的列
columns = [0, 11, 12, 13, 14, 15]
# 读取数据
da... | 71d2c335776a5d430f6f7253be31f3b5 | {
"intermediate": 0.37348058819770813,
"beginner": 0.35557878017425537,
"expert": 0.2709405720233917
} |
18,060 | import os
import json
import requests
import openpyxl
from concurrent.futures import ThreadPoolExecutor
import traceback
# Function to send push notifications
def send_push_notification(group, payload):
# Create an xlsx file to store the results
wb = openpyxl.Workbook()
sheet = wb.active
sheet['A1'] = ... | 3ba855b69a867915aca82410b34c1637 | {
"intermediate": 0.45483699440956116,
"beginner": 0.3547854721546173,
"expert": 0.19037751853466034
} |
18,061 | How can I write a VBA to make sure that when in column I, when I press enter on my keyboard, the selection does not move down to the next cell but to the next cell right | 1ee415225f000f97fe09c637692c53e5 | {
"intermediate": 0.2846216559410095,
"beginner": 0.08986559510231018,
"expert": 0.6255127191543579
} |
18,062 | write a code in python for the below request:
"take the data.xlsx in drive D. It is a matrix that contains data in 47 columns and 11 rows. the first row is the header that includes the name of columns. Estimate the values for 12th row using a machine learning model. Save the new file with estimated cells in drive D | 79e99db4ddca9fc71710c737fa93519b | {
"intermediate": 0.29743072390556335,
"beginner": 0.1085435152053833,
"expert": 0.5940257906913757
} |
18,063 | i want the code code below only read the secoond line and only value of success in each file :
import pandas as pd
import glob
# Define the path where the Excel files are located
path = r'/root/SendPush/*.xlsx'
# Create an empty list to store the sum of "Success" column in each file
success_sum_list = []
# Loop thro... | 2247f3499b519f1b97ef49fa6dad4a75 | {
"intermediate": 0.4358587861061096,
"beginner": 0.2626824975013733,
"expert": 0.3014586567878723
} |
18,064 | hello | fa48447364869362ff317c171f045143 | {
"intermediate": 0.32064199447631836,
"beginner": 0.28176039457321167,
"expert": 0.39759764075279236
} |
18,065 | How to remove duplicates in excel | 4e2801ae63ce6e3c8ff64723c0894754 | {
"intermediate": 0.3129950165748596,
"beginner": 0.32547497749328613,
"expert": 0.36152997612953186
} |
18,066 | You will see the string S, which is a mathematical expression with mixed alphabets.
Find the formula and output the answer.
Alphabetic characters may also be mixed in between numbers.
Example:
In the case of 12+56,
It may look like abc1Def2ghIjK+L5mOPQ6rS.
So the answer is 38.
In the case of 2**5,
It may look like d... | 955c579500366fda1eb1e5c05ee9740b | {
"intermediate": 0.3886665999889374,
"beginner": 0.2975831925868988,
"expert": 0.31375014781951904
} |
18,067 | Today is Pi Day (March 14th), so let's celebrate it by approximating pi's value using the simplest maths operations !
Although it has a slow converging rate, one of the oldest way to do such approximation is the Madhava–Leibniz series:
pi/4 = 1 - 1/3 + 1/5 - 1/7 + 1/9 - 1/11 + ...
Given an integer n, compute an appro... | 4d7551999632a9a4cdb7fcddf976089e | {
"intermediate": 0.3809644281864166,
"beginner": 0.3171367645263672,
"expert": 0.3018988072872162
} |
18,068 | I used your code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | c1167a310a9b770f067fc93e70ceb5af | {
"intermediate": 0.3997475802898407,
"beginner": 0.2894064486026764,
"expert": 0.31084591150283813
} |
18,069 | I used this code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | 240a9b7f269dc0486a414969f05cb9d9 | {
"intermediate": 0.4782114624977112,
"beginner": 0.2331416755914688,
"expert": 0.2886469066143036
} |
18,070 | Human traffic stadium X stadium built a new stadium, each day many people visit it, write a query to display the records which have 3 or more consecutive rows and the amount of people more than 100(inclusive) using cte and joins | 297b0ca5b5351605b5b0314786956f3b | {
"intermediate": 0.5044923424720764,
"beginner": 0.2627319395542145,
"expert": 0.23277565836906433
} |
18,071 | Human traffic stadium X stadium built a new stadium, each day many people visit it, write a query to display the records which have 3 or more consecutive rows and the amount of people more than 100(inclusive) using cte | b15dd036e72d3f2cd1b06e79ab09bf61 | {
"intermediate": 0.502128005027771,
"beginner": 0.2587488293647766,
"expert": 0.23912313580513
} |
18,072 | <body>
<button id="back" class="mdc-button" onclick="goBack()"> <span class="mdc-button__ripple"></span><i class="material-icons">
keyboard_return
... | fe856fe35d241c6469e48621763ca6e2 | {
"intermediate": 0.45972028374671936,
"beginner": 0.3808985948562622,
"expert": 0.15938116610050201
} |
18,073 | rows[microPrice]?.bid !== undefined && rows[microPrice]?.bid * maxVolume || 0;
Object is possibly 'undefined'.ts(2532)
(property) bid?: number | undefined
как исправить | 665c9d1ff4db69319861b9700b8afc54 | {
"intermediate": 0.32961881160736084,
"beginner": 0.41545942425727844,
"expert": 0.2549217641353607
} |
18,074 | I used this code: def signal_generator(df):
if df is None or len(df) < 2:
return ''
signal = []
# Retrieve depth data
threshold = 0.1
depth_data = client.depth(symbol=symbol)
bid_depth = depth_data['bids']
ask_depth = depth_data['asks']
buy_price = float(bid_depth[0][0]) if... | 9be5ce0d662c5d87061ece3535c6e44b | {
"intermediate": 0.3496032953262329,
"beginner": 0.422478049993515,
"expert": 0.2279186099767685
} |
18,075 | How do i load voice cover ai by downloaded model | 64a44e3974f7ac3e710e87ce6c09bc6b | {
"intermediate": 0.27906715869903564,
"beginner": 0.11392736434936523,
"expert": 0.6070054769515991
} |
18,076 | this my alert widget.
import 'package:audioplayers/audioplayers.dart';
import 'package:flutter/material.dart';
import 'package:flutter_animate/flutter_animate.dart';
import 'package:investment_com/abstract_provider.dart';
import 'package:investment_com/core/Config/Converter.dart';
import 'package:investment_com/core/e... | 5edbac2767dc3f690fdb225a99b0a4c3 | {
"intermediate": 0.2933122515678406,
"beginner": 0.5300467014312744,
"expert": 0.1766410917043686
} |
18,077 | 5 2017-01-05 145
6 2017-01-06 1455
7 2017-01-07 199
8 2017-01-08 188 get these results using cte function on mysql | dd356910b95a0d5b136d8d58aedb8af8 | {
"intermediate": 0.32573744654655457,
"beginner": 0.29776597023010254,
"expert": 0.3764966130256653
} |
18,078 | 5 2017-01-05 145
6 2017-01-06 1455
7 2017-01-07 199
8 2017-01-08 188 get these results using inner join | 7b614d4f3c569870f061ad7ae74a690a | {
"intermediate": 0.24838876724243164,
"beginner": 0.2567768692970276,
"expert": 0.494834303855896
} |
18,079 | create table Players(number int,name varchar(50),age int,starts int,totalGoals int,totalShots int)
create table injuredPlayers(number int,name varchar(50))
insert into Players values
(3,'Eric Bailly',23,8,1,NULL),
(17,'Daley Blind',27,3,NULL,NULL),
(36,'Matteo Darmian',28,2,NULL,NULL),
(4,'Phil Jones',25,17,NULL,NULL),... | b365c88f2bd583e37abbf1ddf79c374e | {
"intermediate": 0.3286128342151642,
"beginner": 0.4434671401977539,
"expert": 0.22792008519172668
} |
18,080 | from openpyxl import load_workbook
import pandas as pd
import datetime
from openpyxl import Workbook
from openpyxl.utils.dataframe import dataframe_to_rows
# 打开Excel文件
wb = load_workbook(filename=r'C:\Users\LIQI\Documents\民生基金\行业打分\钢铁数据跟踪汇总.xlsx', read_only=True, data_only=True)
# 选择指定的sheet
sheet = wb['吨钢毛利'] # 这里的... | d44e1fceced33f70e0058e6b58b49661 | {
"intermediate": 0.48766642808914185,
"beginner": 0.3247459828853607,
"expert": 0.18758758902549744
} |
18,081 | Create stored proc to return only forwards | ad29c9f9318192f8c3f0908c997cc434 | {
"intermediate": 0.33505722880363464,
"beginner": 0.22258330881595612,
"expert": 0.44235947728157043
} |
18,082 | 用Cython优化下列代码: from bs4 import BeautifulSoup
import requests,concurrent.futures,time
def get_proxies(url, session):
try:
response = session.get(url)
response.raise_for_status()
except requests.exceptions.RequestException as e:
print(f"请求失败: {e}")
return None
soup = Beaut... | e9dc032a0e294a1ec2ea94a9ea16d165 | {
"intermediate": 0.4331766366958618,
"beginner": 0.39338719844818115,
"expert": 0.17343619465827942
} |
18,083 | show how to create an ordered list in jupyter notebook. | 6aba19a81b1ce0572195d55d62610d66 | {
"intermediate": 0.5061133503913879,
"beginner": 0.20488609373569489,
"expert": 0.2890004813671112
} |
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