Hi Mısra, you're really have great explanations. I have learned a lot of and useful things even a few days. I am really excited to continue listening your videos aas a new data scientist candidate. Also you make me very motivated. Thanks a lot again!
Hey MIsra, thanks for another simple to understand video. Can you possibly make a similar thread on pandas dataframe Join/Merge? That would be great help. Thanks again. Cheers 🍻
Hi, Thank you for this video... it is very clear and easy to follow... I also want to ask... In case of a data frame having negative numbers, is it possible to replace these negative numbers by its corresponding absolute value, using the same routine in the video? thank you ^^
Hi Misra, If we have a column where we are having a message which is returned from the device, so from this message how can we create a new column by taking keyword from the existing column and display the status of it in the new column by using python?
When didn't you use replace like this data[ 'Agency'].replace( { dict}) Inside dictionary I will give all the old values as key and new values a pair ..
selam, thanks for the info. i have a probem in changing characters within the cells. in my dataframe, some of values are for instance: 12.4 and some of them are 12,4, meaning some are seperated with comma, and some are seperated with dot. how can i change all the dots with commas without changing the values. thanks
Hi, i have a question that i dont know. I need to change a specific value in a specific line in my Dataframe. Example in your Dataframe in Column "Job ID" in the line (1), i want to change the value 379094 to another value, how can i do this? I tried to loc but not worked. Can someone help please, thank you. Sorry for the english, im brazilian.
Hello, I loved your video! I would like to ask a question. In this case, the intent would be data cleaning where I have a dataframe where all the information in the "data" column has characters that shouldn't be there, for example: '01012023TT00'. I would like to remove these "TT00" characters. How should I do? I'm doing it this way, but it doesn't update the dataframe.: import pandas as pd import numpy as np df = pd.read_csv('/content/HRDataset_v14.csv') df.head() df['Employee_Name'].str.replace('Anderson, Carol','Anderson') df ################ If we put the df = df['Employee_Name'].str.replace('Anderson, Carol','Anderson') It will update, but not in the dataframe.
👉 All you need to know about Pandas in one place!
Download my Pandas Cheat Sheet (free)
misraturp.gumroad.com/l/pandascs
Hey, again. You really make things simpler, so that a laymen also can understand.
Amazing to hear!
hands down your videos are the best ressources I found to these kind of topics
thanks a lot for making these videos✌🏻😁
Hi Misra, thank you for your videos they are helping me to learn Pandas. You explain so simple and it is really encouraging.
That's amazing to hear, thank you Maxine!
pandas cut seems extremely useful! Thanks
I know right! You're welcome.
Thanks a lot Misra, you're doing a wonderful job.
Thank you!
super helpful. have never seen the pd.cut function - Thank you
You're very welcome!
Crystal clear speak and to the point infos. Thank you
You're very welcome!
Hi Mısra, you're really have great explanations. I have learned a lot of and useful things even a few days. I am really excited to continue listening your videos aas a new data scientist candidate. Also you make me very motivated. Thanks a lot again!
That's great to hear Birsen! Happy to hear you like the videos and that they motivate you.
Very helpful Misra. Thank you.
Great to hear :)
Informative video .
I like your explanation 👌🏻♥️
Terrific Video!!
Thank you!
Hey Misra, can you make a video about deciding under which conditions we should use normalization or standardization?
Great suggestion!
take that as a no
Hey MIsra, thanks for another simple to understand video. Can you possibly make a similar thread on pandas dataframe Join/Merge? That would be great help. Thanks again.
Cheers
🍻
This would be very helpful 🎉
Hey Curtis, you're very welcome. :) I actually have that video already: ruclips.net/video/788KHREDbX8/видео.html
nice explain
you're making my life easier with these tuts :')
even easier!?
Thanks!
thank you Misra
Excellent, thanks.
You're welcome!
Thank you
Pls video of pd.cut and filling/imputing missing values
Yes, working on that one now! Thank you for the suggestion!
Very very good! thx!
Glad you like it!
Hai Mam....Can you please come with the videos for SQL in data Analytics.....?
Hi, Thank you for this video... it is very clear and easy to follow... I also want to ask... In case of a data frame having negative numbers, is it possible to replace these negative numbers by its corresponding absolute value, using the same routine in the video? thank you ^^
I don't know this off the top of my head but I'm sure there is a quick way to achieve this using Pandas :)
cool mam
Hi Misra,
If we have a column where we are having a message which is returned from the device, so from this message how can we create a new column by taking keyword from the existing column and display the status of it in the new column by using python?
When didn't you use replace like this
data[ 'Agency'].replace( { dict})
Inside dictionary I will give all the old values as key and new values a pair ..
Can we use any function to replace a data.like normally we replace a data with tha mean of that column.is there any other method instead of mean.
Could I use a list in the loc. Method?
as compared to data cleansing .... till the end video, I just see you ...
You are so pretty and smart.
selam, thanks for the info. i have a probem in changing characters within the cells. in my dataframe, some of values are for instance: 12.4 and some of them are 12,4, meaning some are seperated with comma, and some are seperated with dot. how can i change all the dots with commas without changing the values. thanks
watch the vid
Hi, i have a question that i dont know. I need to change a specific value in a specific line in my Dataframe. Example in your Dataframe in Column "Job ID" in the line (1), i want to change the value 379094 to another value, how can i do this? I tried to loc but not worked. Can someone help please, thank you. Sorry for the english, im brazilian.
watch the vid
How does one download the chest sheet? It is unclear.
Here is the link: misraturp.gumroad.com/l/pandascs
Hello, I loved your video!
I would like to ask a question. In this case, the intent would be data cleaning where I have a dataframe where all the information in the "data" column has characters that shouldn't be there, for example: '01012023TT00'. I would like to remove these "TT00" characters. How should I do?
I'm doing it this way, but it doesn't update the dataframe.:
import pandas as pd
import numpy as np
df = pd.read_csv('/content/HRDataset_v14.csv')
df.head()
df['Employee_Name'].str.replace('Anderson, Carol','Anderson')
df
################
If we put the df = df['Employee_Name'].str.replace('Anderson, Carol','Anderson')
It will update, but not in the dataframe.
watch the vid
Too many ways to do it makes it quite confusing for me
themore thebetter
Misra is too distracting .... makes it difficult to concentrate on the code...
aww
Thanks!
You're very welcome!