data['Predicted Order'] = predicted_order
print(data)
data.to_csv('smallys_ARMA.csv', encoding='utf-8', index=False)
The Pandas dataframe data
gets a new column Predicted Order
in the dataframe whose values are assigned to the list predicted_order
.
Here, I don't want to hard code the newly generated column name, now it's Predicted Order
. I want every newly generated column takes name dynamically like this Week_i
for i = 0,1,2 etc.
Edit: This code will be run unknown number of times in future and each time it will add a new column to the dataframe.
maybe a thing like that:
numbers = range(52)
for i in numbers:
if not "weeks_{i}" in df.columns:
df["weeks_{i}"] = predicted_order
break
You can use string formatting for that.
weeks = range(42)
for i in weeks:
data[f'Week_{i}'] = predicted_order
If you are using Python < 3.6 then use data['Week_{}'.format(i)]
instead
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.