Renaming Column Not Working even Though Syntax is Correct in Python
Question:
I have been trying to rename the column name in a csv file which I have been working on through Google-Colab. But the same line of code is working on one column name and is also not working for the other.
import pandas as pd
import numpy as np
data = pd.read_csv("Daily Bike Sharing.csv",
index_col="dteday",
parse_dates=True)
dataset = data.loc[:,["cnt","holiday","workingday","weathersit",
"temp","atemp","hum","windspeed"]]
dataset = dataset.rename(columns={'cnt' : 'y'})
dataset = dataset.rename(columns={"dteday" : 'ds'})
dataset.head(1)
The Image below is the dataframe called data
The Image below is dataset
This image is the final output which I get when I try to rename the dataframe.
The column name "dtedate" is not getting renamed but "cnt" is getting replaced "y" by the same code. Can someone help me out, I have been racking my brain on this for sometime now.
Answers:
That’s because you’re setting dteday as your index, upon reading in the csv, whereas cnt is quite simply a column. Avoid the index_col attribute in read_csv and instead perform dataset = dataset.set_index(‘ds’) after renaming.
An alternative in which only your penultimate line (trying to rename the index) would need to be changed:
dataset.index.names = ['ds']
You can remove the ‘index-col’ in the read statement, include ‘dtedate’ in your dataset and then change the column name. You can make the column index using df.set_index later.
I have been trying to rename the column name in a csv file which I have been working on through Google-Colab. But the same line of code is working on one column name and is also not working for the other.
import pandas as pd
import numpy as np
data = pd.read_csv("Daily Bike Sharing.csv",
index_col="dteday",
parse_dates=True)
dataset = data.loc[:,["cnt","holiday","workingday","weathersit",
"temp","atemp","hum","windspeed"]]
dataset = dataset.rename(columns={'cnt' : 'y'})
dataset = dataset.rename(columns={"dteday" : 'ds'})
dataset.head(1)
The Image below is the dataframe called data
The Image below is dataset
This image is the final output which I get when I try to rename the dataframe.
The column name "dtedate" is not getting renamed but "cnt" is getting replaced "y" by the same code. Can someone help me out, I have been racking my brain on this for sometime now.
That’s because you’re setting dteday as your index, upon reading in the csv, whereas cnt is quite simply a column. Avoid the index_col attribute in read_csv and instead perform dataset = dataset.set_index(‘ds’) after renaming.
An alternative in which only your penultimate line (trying to rename the index) would need to be changed:
dataset.index.names = ['ds']
You can remove the ‘index-col’ in the read statement, include ‘dtedate’ in your dataset and then change the column name. You can make the column index using df.set_index later.