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plt.plot(df['tenkan_sen'], label='Tenkan sen', color='cornflowerblue', linewidth = 0.5)
plt.plot(df['kijun_sen'], label='Kijun sen', color='salmon', linewidth = 0.5)
plt.plot(df['senkou_span_a'], label='Senkou span A', color='lightgreen', linewidth = 0.5)
plt.plot(df['senkou_span_b'], label='Senkou span B', color='lightcoral', linewidth = 0.5)
plt.plot(df['chikou_span'], label='Chikou span', color='green', linewidth = 1)

plt.fill_between(df.index, df['senkou_span_a'], df['senkou_span_b'], where = df['senkou_span_a'] >= df['senkou_span_b'], color = 'honeydew')
plt.fill_between(df.index, df['senkou_span_a'], df['senkou_span_b'], where = df['senkou_span_a'] < df['senkou_span_b'], color = 'mistyrose')

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import mplfinance as mpf

ichimoku_cloud = [
  mpf.make_addplot(df['tenkan_sen'], color = 'blue', width = 1),
  mpf.make_addplot(df['kijun_sen'], color = 'red', width = 1),
  mpf.make_addplot(df['senkou_span_a'], color = 'lightgreen', width = 0.5),
  mpf.make_addplot(df['senkou_span_b'], color = 'lightcoral', width = 0.5),
  mpf.make_addplot(df['chikou_span'], color = 'green', width = 1)
]

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protected $moduleMapping = [
    "Mage_Sendfriend" => "Magento_SendFriend",
    "Mage_AdminNotification" => "Magento_AdminNotification",
    "Mage_Authorizenet" => "Magento_Authorizenet",
    "Mage_Bundle" => "Magento_Bundle",
    "Mage_Captcha" => "Magento_Captcha",
    "Mage_Catalog" => "Magento_Catalog",
    "Mage_CatalogInventory" => "Magento_CatalogInventory",
    "Mage_CatalogRule" => "Magento_CatalogRule",
    "Mage_CatalogSearch" => "Magento_CatalogSearch",

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# use `amplify add <feature>`
$ amplify add analytics
$ amplify push

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$ npm install aws-amplify
$ npm install aws-amplify-angular

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# set endpoint variable
$export ApiGatewayEndpoint="$AppId.execute-api.us-east-1.amazonaws.com/v1"

# add a new user
curl -vvv -X POST -d '{"email": "your@mail.com", "phone": "0123456789"}' -H "Content-Type: application/json" https://$ApiGatewayEndpoint/user

# list users
curl -vvv -X GET https://$ApiGatewayEndpoint/user

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# import your swagger to apigateway
$ aws apigateway import-rest-api --fail-on-warnings --body file://swagger.json

# update cloudformation template
$ aws cloudformation update-stack --stack-name $your-stack-name --template-body file://template.json --capabilities CAPABILITY_IAM --parameters ParameterKey=S3Bucket,UsePreviousValue=true ParameterKey=S3Key,UsePreviousValue=true ParameterKey=ApiId,ParameterValue=$ApiId

# deploy to stage v1
$ aws apigateway create-deployment --rest-api-id $ApiId --stage-name v1

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# replace all nine occurrences of $AWSRegion in swagger.json with the region that you are creating your API and Lamdba in
$ sed -i '.bak' 's/$AWSRegion/us-east-1/g' swagger.json

# get the LambdaArn
$ aws cloudformation describe-stacks --stack-name apigateway --query Stacks[0].Outputs

# replace all nine occurrences of $LambdaArn in swagger.json with the ARN from the stack output above (e.g. arn:aws:lambda:us-east-1:YYY:function:apigateway-Lambda-XXX)
$ LambdaArn/arn:aws:lambda:us-east-1:YYY:function:apigateway-Lambda-XXX/g' swagger.json

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$ aws cloudformation create-stack --stack-name $your-stack-name --template-body file://template.json --capabilities CAPABILITY_IAM --parameters ParameterKey=S3Bucket,ParameterValue=$your-bucket-name
$ aws cloudformation describe-stacks --stack-name $your-stack-name --query Stacks[0].Outputs
$ aws cloudformation wait stack-create-complete

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$ aws s3api create-bucket - bucket $your-bucket-name - region us-east-1
$ aws s3 cp lambda.zip s3://$your-bucket-name/lambda.zip