我有一个EOD股票数据的熊猫数据框，如下所示：
Date High Low Open Close Volume Adj Close Symbol Pct_Change
0 1999-11-18 35.765381 28.612303 32.546494 31.473534 62546300.0 27.369196 A 0
1 1999-11-19 30.758226 28.478184 30.713520 28.880543 15234100.0 25.114351 A 0
2 1999-11-22 31.473534 28.657009 29.551144 31.473534 6577800.0 27.369196 A 0
3 1999-11-23 31.205294 28.612303 30.400572 28.612303 5975600.0 24.881086 A 0
4 1999-11-24 29.998211 28.612303 28.701717 29.372318 4843200.0 25.541994 A 0
我想添加一个Pct_Change列，该列计算Adj Close列中每个收盘价的变化百分比。我可以做这样的事情：
df.Pct_Change = df['Adj Close'].pct_change()
这个解决方案将会很接近，但是在股票之间会有一些重叠，这是我不希望的。
这是我正在尝试的解决方案，但未在原始df中设置数据，因此我最终在Pct_Change列中的所有内容仍为0。
# first set everything equal to 0
df['Pct_Change'] = 0
for stock in all_data.Symbol.unique():
subset = df.loc[all_data.Symbol == stock]
subset.Pct_Change = subset['Adj Close'].pct_change()
编辑：我无法使这些解决方案正常工作，因此下面我将一个最小的数据集用于工作，这可能有助于测试。
pd.DataFrame({'Date': {0: Timestamp('1988-01-04 00:00:00'),
1: Timestamp('1988-01-05 00:00:00'),
2: Timestamp('1988-01-06 00:00:00'),
3: Timestamp('1988-01-07 00:00:00'),
4: Timestamp('1988-01-08 00:00:00'),
5: Timestamp('1988-01-04 00:00:00'),
6: Timestamp('1988-01-05 00:00:00'),
7: Timestamp('1988-01-06 00:00:00'),
8: Timestamp('1988-01-07 00:00:00'),
9: Timestamp('1988-01-08 00:00:00')},
'High': {0: 1.5982142686843872,
1: 1.6517857313156128,
2: 1.6071428060531616,
3: 1.5982142686843872,
4: 1.6160714626312256,
5: 10.15625,
6: 10.34375,
7: 10.25,
8: 10.375,
9: 10.28125},
'Low': {0: 1.5089285373687744,
1: 1.5803571939468384,
2: 1.5625,
3: 1.5178571939468384,
4: 1.4107142686843872,
5: 9.6875,
6: 10.09375,
7: 10.09375,
8: 10.0,
9: 9.15625},
'Open': {0: 1.5267857313156128,
1: 1.6428571939468384,
2: 1.6071428060531616,
3: 1.5535714626312256,
4: 1.5892857313156128,
5: 9.71875,
6: 10.1875,
7: 10.21875,
8: 10.0625,
9: 10.21875},
'Close': {0: 1.5982142686843872,
1: 1.59375,
2: 1.5625,
3: 1.5892857313156128,
4: 1.4285714626312256,
5: 10.125,
6: 10.1875,
7: 10.09375,
8: 10.28125,
9: 9.5},
'Volume': {0: 82600000.0,
1: 77280000.0,
2: 67200000.0,
3: 53200000.0,
4: 121520000.0,
5: 5674400.0,
6: 8926800.0,
7: 4974800.0,
8: 7011200.0,
9: 7753200.0},
'Adj Close': {0: 0.08685751259326935,
1: 0.08661489188671112,
2: 0.08491652458906174,
3: 0.0863722488284111,
4: 0.07763802260160446,
5: 0.9220728874206543,
6: 0.9277651309967041,
7: 0.9192269444465637,
8: 0.9363031387329102,
9: 0.8651551008224487},
'Symbol': {0: 'AAPL',
1: 'AAPL',
2: 'AAPL',
3: 'AAPL',
4: 'AAPL',
5: 'XOM',
6: 'XOM',
7: 'XOM',
8: 'XOM',
9: 'XOM'}})
答案 0 :(得分：3)
df['Pct_Change'] = df.groupby('Symbol', sort=False)['Adj_Close'].pct_change()
print(df)
Date High Low Open Close Volume \
0 1999-11-18 35.765381 28.612303 32.546494 31.473534 62546300.0
1 1999-11-19 30.758226 28.478184 30.713520 28.880543 15234100.0
2 1999-11-22 31.473534 28.657009 29.551144 31.473534 6577800.0
3 1999-11-23 31.205294 28.612303 30.400572 28.612303 5975600.0
4 1999-11-24 29.998211 28.612303 28.701717 29.372318 4843200.0
Adj_Close Symbol Pct_Change
0 27.369196 A NaN
1 25.114351 A -0.082386
2 27.369196 A 0.089783
3 24.881086 A -0.090909
4 25.541994 A 0.026563
答案 1 :(得分：1)
这可以使用groupby来完成，如@Sandeep指出的那样。但是，使用您的解决方案：
// Top-level build file where you can add configuration options common to all sub-projects/modules.
buildscript {
repositories {
jcenter()
google()
}
dependencies {
classpath 'com.android.tools.build:gradle:3.2.1'
classpath 'com.github.dcendents:android-maven-gradle-plugin:1.5'
classpath 'com.jfrog.bintray.gradle:gradle-bintray-plugin:1.7.3'
// NOTE: Do not place your application dependencies here; they belong
// in the individual module build.gradle files
}
}
allprojects {
repositories {
jcenter()
google()
}
}
task clean(type: Delete) {
delete rootProject.buildDir
}
请注意，您正在将apply plugin: 'com.android.library'
apply plugin: 'com.github.dcendents.android-maven'
group = 'com.github.technolifestyle'
ext {
bintrayRepo = 'AutoImageFlipper'
bintrayName = 'AutoImageFlipper'
publishedGroupId = 'com.github.technolifestyle'
libraryName = 'AutoImageFlipper'
artifact = 'imageslider'
libraryDescription = 'A carousel like implementation for Android with many functionalities'
siteUrl = 'https://github.com/therealshabi/AutoImageFlipper/'
gitUrl = 'https://github.com/therealshabi/AutoImageFlipper.git'
libraryVersion = '1.5.3-beta.5'
developerId = 'therealshabi'
developerName = 'Shahbaz Hussain'
developerEmail = 'shahbaz.h96@gmail.com'
licenseName = 'The Apache Software License, Version 2.0'
licenseUrl = 'http://www.apache.org/licenses/LICENSE-2.0.txt'
allLicenses = ["Apache-2.0"]
}
android {
compileSdkVersion 28
buildToolsVersion '28.0.3'
defaultConfig {
multiDexEnabled true
minSdkVersion 17
targetSdkVersion 28
versionCode 1
versionName "1.0"
testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner"
}
buildTypes {
release {
minifyEnabled false
proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro'
}
}
}
dependencies {
api fileTree(include: ['*.jar'], dir: 'libs')
implementation 'androidx.appcompat:appcompat:1.1.0-alpha01'
implementation 'com.romandanylyk:pageindicatorview:1.0.3@aar'
implementation 'com.squareup.picasso:picasso:2.71828'
implementation 'androidx.multidex:multidex:2.0.1'
testImplementation 'junit:junit:4.12'
}
apply from: 'https://raw.githubusercontent.com/nuuneoi/JCenter/master/installv1.gradle'
apply from: 'https://raw.githubusercontent.com/nuuneoi/JCenter/master/bintrayv1.gradle'
分配给新的df['Pct_Change'] = 0
for stock in df.Symbol.unique():
subset = df.loc[df.Symbol == stock]
df.Pct_Change = subset['Adj_Close'].pct_change()
数据帧，而不是原始的，因此原始数据帧未更改。
subset['Adj_Close'].pct_change()