Azure Databricks Jupyter Notebook Python & R in 1 Cell
I have some code (mostly not my original code), that I have running on my local PC anaconda juptyer Notebook environment. I need to scale up the processing so I am looking into Azure Databricks. There's 1 section of code that's running a python loop but utilizes an R library (stats), then passes the data through an R model (tbats). So 1 Jupyter notebook cell runs python & R code. Can this be done in Azure Databricks JNB's as well? I only found documentation that lets you change languages from cell to cell.
In a previous cell I have:
%r libarary(stats)
So the library is imported (along with other R libs). However when I run the code below, I get "NameError: name 'stats' is not defined. I am wondering if it's the way databricks wants you to tell the cell the language you're using (%r, %python, etc.)
for customerid, dataForCustomer in original.groupby(by=['customer_id']):
startYear = dataForCustomer.head(1).iloc[0].yr
startMonth = dataForCustomer.head(1).iloc[0].mnth
endYear = dataForCustomer.tail(1).iloc[0].yr
endMonth = dataForCustomer.tail(1).iloc[0].mnth
#Creating a time series object
customerTS = stats.ts(dataForCustomer.usage.astype(int),
start=base.c(startYear,startMonth),
end=base.c(endYear, endMonth),
frequency=12)
r.assign('customerTS', customerTS)
##Here comes the R code piece
try:
seasonal = r('''
fit<-tbats(customerTS, seasonal.periods = 12,
use.parallel = TRUE)
fit$seasonal
''')
except:
seasonal = 1
# APPEND DICTIONARY TO LIST (NOT DATA FRAME)
df_list.append({'customer_id': customerid, 'seasonal': seasonal})
print(f' {customerid} | {seasonal} ')
seasonal_output = pa.DataFrame(df_list)
Thank you
python r
azure jupyter-notebook databricks edited Nov 12 at 6:42
sai saran
344224
asked Nov 11 at 23:24
David Squires
217
add a comment |
I have some code (mostly not my original code), that I have running on my local PC anaconda juptyer Notebook environment. I need to scale up the processing so I am looking into Azure Databricks. There's 1 section of code that's running a python loop but utilizes an R library (stats), then passes the data through an R model (tbats). So 1 Jupyter notebook cell runs python & R code. Can this be done in Azure Databricks JNB's as well? I only found documentation that lets you change languages from cell to cell.
In a previous cell I have:
%r libarary(stats)
So the library is imported (along with other R libs). However when I run the code below, I get "NameError: name 'stats' is not defined. I am wondering if it's the way databricks wants you to tell the cell the language you're using (%r, %python, etc.)
for customerid, dataForCustomer in original.groupby(by=['customer_id']):
startYear = dataForCustomer.head(1).iloc[0].yr
startMonth = dataForCustomer.head(1).iloc[0].mnth
endYear = dataForCustomer.tail(1).iloc[0].yr
endMonth = dataForCustomer.tail(1).iloc[0].mnth
#Creating a time series object
customerTS = stats.ts(dataForCustomer.usage.astype(int),
start=base.c(startYear,startMonth),
end=base.c(endYear, endMonth),
frequency=12)
r.assign('customerTS', customerTS)
##Here comes the R code piece
try:
seasonal = r('''
fit<-tbats(customerTS, seasonal.periods = 12,
use.parallel = TRUE)
fit$seasonal
''')
except:
seasonal = 1
# APPEND DICTIONARY TO LIST (NOT DATA FRAME)
df_list.append({'customer_id': customerid, 'seasonal': seasonal})
print(f' {customerid} | {seasonal} ')
seasonal_output = pa.DataFrame(df_list)
Thank you
python r
azure jupyter-notebook databricks edited Nov 12 at 6:42
sai saran
344224
asked Nov 11 at 23:24
David Squires
217
add a comment |
I have some code (mostly not my original code), that I have running on my local PC anaconda juptyer Notebook environment. I need to scale up the processing so I am looking into Azure Databricks. There's 1 section of code that's running a python loop but utilizes an R library (stats), then passes the data through an R model (tbats). So 1 Jupyter notebook cell runs python & R code. Can this be done in Azure Databricks JNB's as well? I only found documentation that lets you change languages from cell to cell.
In a previous cell I have:
%r libarary(stats)
So the library is imported (along with other R libs). However when I run the code below, I get "NameError: name 'stats' is not defined. I am wondering if it's the way databricks wants you to tell the cell the language you're using (%r, %python, etc.)
for customerid, dataForCustomer in original.groupby(by=['customer_id']):
startYear = dataForCustomer.head(1).iloc[0].yr
startMonth = dataForCustomer.head(1).iloc[0].mnth
endYear = dataForCustomer.tail(1).iloc[0].yr
endMonth = dataForCustomer.tail(1).iloc[0].mnth
#Creating a time series object
customerTS = stats.ts(dataForCustomer.usage.astype(int),
start=base.c(startYear,startMonth),
end=base.c(endYear, endMonth),
frequency=12)
r.assign('customerTS', customerTS)
##Here comes the R code piece
try:
seasonal = r('''
fit<-tbats(customerTS, seasonal.periods = 12,
use.parallel = TRUE)
fit$seasonal
''')
except:
seasonal = 1
# APPEND DICTIONARY TO LIST (NOT DATA FRAME)
df_list.append({'customer_id': customerid, 'seasonal': seasonal})
print(f' {customerid} | {seasonal} ')
seasonal_output = pa.DataFrame(df_list)
Thank you
python r
azure jupyter-notebook databricks edited Nov 12 at 6:42
sai saran
344224
asked Nov 11 at 23:24
David Squires
217
I have some code (mostly not my original code), that I have running on my local PC anaconda juptyer Notebook environment. I need to scale up the processing so I am looking into Azure Databricks. There's 1 section of code that's running a python loop but utilizes an R library (stats), then passes the data through an R model (tbats). So 1 Jupyter notebook cell runs python & R code. Can this be done in Azure Databricks JNB's as well? I only found documentation that lets you change languages from cell to cell.
In a previous cell I have:
%r libarary(stats)
So the library is imported (along with other R libs). However when I run the code below, I get "NameError: name 'stats' is not defined. I am wondering if it's the way databricks wants you to tell the cell the language you're using (%r, %python, etc.)
for customerid, dataForCustomer in original.groupby(by=['customer_id']):
startYear = dataForCustomer.head(1).iloc[0].yr
startMonth = dataForCustomer.head(1).iloc[0].mnth
endYear = dataForCustomer.tail(1).iloc[0].yr
endMonth = dataForCustomer.tail(1).iloc[0].mnth
#Creating a time series object
customerTS = stats.ts(dataForCustomer.usage.astype(int),
start=base.c(startYear,startMonth),
end=base.c(endYear, endMonth),
frequency=12)
r.assign('customerTS', customerTS)
##Here comes the R code piece
try:
seasonal = r('''
fit<-tbats(customerTS, seasonal.periods = 12,
use.parallel = TRUE)
fit$seasonal
''')
except:
seasonal = 1
# APPEND DICTIONARY TO LIST (NOT DATA FRAME)
df_list.append({'customer_id': customerid, 'seasonal': seasonal})
print(f' {customerid} | {seasonal} ')
seasonal_output = pa.DataFrame(df_list)
Thank you
python r
azure jupyter-notebook databricks python r
azure jupyter-notebook databricks edited Nov 12 at 6:42
sai saran
344224
asked Nov 11 at 23:24
David Squires
217
edited Nov 12 at 6:42
sai saran
344224
asked Nov 11 at 23:24
David Squires
217
edited Nov 12 at 6:42
sai saran
344224
edited Nov 12 at 6:42
sai saran
344224
edited Nov 12 at 6:42
sai saran
344224
344224
asked Nov 11 at 23:24
David Squires
217
asked Nov 11 at 23:24
David Squires
217
asked Nov 11 at 23:24
David Squires
217
217
add a comment |
add a comment |
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