Question

以下是错误消息：

import numpy as np
import pandas as pd

import time

current_milli_time = lambda: int(round(time.time() * 1000))

def mark(s):
    print("[{}] {}".format(current_milli_time()/1000, s))

# sample data
speed = np.random.uniform(0,25,150000)
next_speed = speed[1:]

# create a dataframe
data_dict = {'speed': speed[:-1],
            'next_speed': next_speed}

df = pd.DataFrame(data_dict)

mark("Got DataFrame")

# calculate difference between the current speed and the next speed
list_of_differences = []

#for i in df.index:
    #difference = df.next_speed[i]-df.speed[i]
    #list_of_differences.append(difference)

#df['difference'] = list_of_differences
#mark("difference 1")

df['difference'] = df['next_speed'] - df['speed']
mark('difference 2')

df['difference2'] = df['next_speed'] - df['speed']

# add 'nan' to data in form of a string.

#for i in range(len(df.difference)):
    ## arbitrary condition
    #if df.difference[i] < -2:
        #df.difference[i] = 'nan'

df.difference[df.difference < -2] = np.nan
mark('nanify')

df.difference2[df.difference2 < -2] = np.nan
mark('nanify 2')

missing = df.difference2.isnull()
df['is_nan'] = missing
df['before_nan'] = np.append(missing[1:].values, False)
df['after_nan'] = np.insert(missing[:-1].values, 0, False)
df['around_nan'] = df.is_nan | df.before_nan | df.after_nan
mark('looped')

#########################################
# THE TIME-INEFFICIENT LOOP

# remove wrong values before and after 'nan'.
for i in  range(len(df)):

    # check if the value is a number to skip computations of the following "if" cases
    if not(isinstance(df.difference[i], str)):
        continue

    # case 1: where there's only one 'nan' surrounded by values.
    # Without this case the algo will miss some wrong values because 'nan' will be removed
    # Example of a series: /1/,nan,/2/,3,4,nan,nan,nan,8,9
    # A number surrounded by slashes e.g. /1/ is a value to be removed
    if df.difference[i] == 'nan' and df.difference[i-1] != 'nan' and df.difference[i+1] != 'nan':
        df.difference[i-1]= 'wrong'
        df.difference[i+1]= 'wrong'

    # case 2: where the following values are 'nan': /1/, nan, nan, 4
    # E.g.: /1/, nan,/2/,3,/4/,nan,nan,nan,8,9
    elif df.difference[i] == 'nan' and df.difference[i+1] == 'nan':
        df.difference[i-1]= 'wrong'

    # case 3: where next value is NOT 'nan'  wrong, nan,nan,4
        # E.g.: /1/, nan,/2/,3,/4/,nan,nan,nan,/8/,9
    elif df.difference[i] == 'nan' and df.difference[i+1] != 'nan':
        df.difference[i+1]= 'wrong'

mark('time-inefficient loop done')

Answer 1

<xsl:template match="/">
  <xsl:for-each select="machine/events"> 
    <xsl:text>;</xsl:text>
    <xsl:value-of select="message/@code"/>
    <xsl:text>;</xsl:text>
    <xsl:value-of select="message/string[@name='id']"  />
    <xsl:text>;</xsl:text>
    <xsl:value-of select="message/string[@name='serialNr']"  />
  </xsl:for-each>
</xsl:template>

这意味着bean工厂找不到AccountService的bean定义。

org.springframework.beans.factory.NoSuchBeanDefinitionException:org.edu.banking.service.AccountService

您在控制器中提到了accountService并自动启动了它。像这样的东西

private org.edu.banking.service.AccountService org.edu.banking.controller.AccountController.accountService

因此，请创建AccountService类，如果它存在，则添加@Service注释，如此

@Autowired
AccountService  accountService;

还要确保在组件扫描中提供了包名AccountService类。

由于以下错误，我的SpringMVC项目未运行

1 个答案: