how to select current rows and some rows before it in pandas dataframe?
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-1
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I have the below dataframe with date as index and need to select current row and rows before it
df:
val val1
date
2018-01-12 20 30
2018-01-20 10 50
2018-01-27 30 40
for col in df.columns:
subset_data = <code to write to select df with current row and last 139 rowss>
add_n = seasonal_decompose(subset_data[col], model='additive')
...
what code should i write to pass subset_data as current row and last 139 rows.
pandas dataframe
asked Nov 22 at 8:35
user3222101
289110
add a comment |
up vote
-1
down vote
favorite
I have the below dataframe with date as index and need to select current row and rows before it
df:
val val1
date
2018-01-12 20 30
2018-01-20 10 50
2018-01-27 30 40
for col in df.columns:
subset_data = <code to write to select df with current row and last 139 rowss>
add_n = seasonal_decompose(subset_data[col], model='additive')
...
what code should i write to pass subset_data as current row and last 139 rows.
pandas dataframe
asked Nov 22 at 8:35
user3222101
289110
What is your expected output?
– Mayank Porwal
Nov 22 at 8:42
hi Mayank, there is a lot of code written, but i just need the part where I can select the subset of data and this subset changes everytime with loop so more like rows between current row and 139 rows before it
– user3222101
Nov 22 at 8:47
Assuming your "current row" is given with the variablei, anddfis the name of your dataframe,df.iloc[i-139:i,:]is the subset of the whole dataframe you're looking for. This assumes you've made sure thatiis at least 139 so that no index out of range occurrs
– Lukas Thaler
Nov 22 at 9:28
add a comment |
up vote
-1
down vote
favorite
up vote
-1
down vote
favorite
I have the below dataframe with date as index and need to select current row and rows before it
df:
val val1
date
2018-01-12 20 30
2018-01-20 10 50
2018-01-27 30 40
for col in df.columns:
subset_data = <code to write to select df with current row and last 139 rowss>
add_n = seasonal_decompose(subset_data[col], model='additive')
...
what code should i write to pass subset_data as current row and last 139 rows.
pandas dataframe
asked Nov 22 at 8:35
user3222101
289110
I have the below dataframe with date as index and need to select current row and rows before it
df:
val val1
date
2018-01-12 20 30
2018-01-20 10 50
2018-01-27 30 40
for col in df.columns:
subset_data = <code to write to select df with current row and last 139 rowss>
add_n = seasonal_decompose(subset_data[col], model='additive')
...
what code should i write to pass subset_data as current row and last 139 rows.
pandas dataframe
pandas dataframe
asked Nov 22 at 8:35
user3222101
289110
asked Nov 22 at 8:35
user3222101
289110
asked Nov 22 at 8:35
user3222101
289110
asked Nov 22 at 8:35
user3222101
289110
asked Nov 22 at 8:35
user3222101
289110
289110
What is your expected output?
– Mayank Porwal
Nov 22 at 8:42
hi Mayank, there is a lot of code written, but i just need the part where I can select the subset of data and this subset changes everytime with loop so more like rows between current row and 139 rows before it
– user3222101
Nov 22 at 8:47
Assuming your "current row" is given with the variablei, anddfis the name of your dataframe,df.iloc[i-139:i,:]is the subset of the whole dataframe you're looking for. This assumes you've made sure thatiis at least 139 so that no index out of range occurrs
– Lukas Thaler
Nov 22 at 9:28
add a comment |
What is your expected output?
– Mayank Porwal
Nov 22 at 8:42
hi Mayank, there is a lot of code written, but i just need the part where I can select the subset of data and this subset changes everytime with loop so more like rows between current row and 139 rows before it
– user3222101
Nov 22 at 8:47
Assuming your "current row" is given with the variablei, anddfis the name of your dataframe,df.iloc[i-139:i,:]is the subset of the whole dataframe you're looking for. This assumes you've made sure thatiis at least 139 so that no index out of range occurrs
– Lukas Thaler
Nov 22 at 9:28
What is your expected output?
– Mayank Porwal
Nov 22 at 8:42
What is your expected output?
– Mayank Porwal
Nov 22 at 8:42
hi Mayank, there is a lot of code written, but i just need the part where I can select the subset of data and this subset changes everytime with loop so more like rows between current row and 139 rows before it
– user3222101
Nov 22 at 8:47
hi Mayank, there is a lot of code written, but i just need the part where I can select the subset of data and this subset changes everytime with loop so more like rows between current row and 139 rows before it
– user3222101
Nov 22 at 8:47
Assuming your "current row" is given with the variable
i, and df is the name of your dataframe, df.iloc[i-139:i,:] is the subset of the whole dataframe you're looking for. This assumes you've made sure that i is at least 139 so that no index out of range occurrs– Lukas Thaler
Nov 22 at 9:28
Assuming your "current row" is given with the variable
i, and df is the name of your dataframe, df.iloc[i-139:i,:] is the subset of the whole dataframe you're looking for. This assumes you've made sure that i is at least 139 so that no index out of range occurrs– Lukas Thaler
Nov 22 at 9:28
add a comment |
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What is your expected output?
– Mayank Porwal
Nov 22 at 8:42
hi Mayank, there is a lot of code written, but i just need the part where I can select the subset of data and this subset changes everytime with loop so more like rows between current row and 139 rows before it
– user3222101
Nov 22 at 8:47
Assuming your "current row" is given with the variable
i, anddfis the name of your dataframe,df.iloc[i-139:i,:]is the subset of the whole dataframe you're looking for. This assumes you've made sure thatiis at least 139 so that no index out of range occurrs– Lukas Thaler
Nov 22 at 9:28