AutoViML / AutoViz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Apache License 2.0
1.7k stars 196 forks source link

Not able to read or load file using Auto viz #73

Closed gbogobabs closed 2 years ago

gbogobabs commented 2 years ago

I am having the above error while using autoviz My target variable is price i even tried it using empty target variable still same result i dont know the problem I tried dataframe, still same issue meanwhile i as able to read my data with pandas but autoviz could no house_price.zip i attached Zip file of the data because it was large kindly assist

AutoViML commented 2 years ago

Hi @gbogobabs 👍 You can upgrade to the minor big fix version now:

pip install autoviz --upgrade

But I noticed that your dataset does not have any numeric vars. So you must first convert at least one or two variables to numeric before using AutoViz since it does not visualize an all-categorical dataset. You can use our other library 'lazytransform' to convert your dataset to numeric. house_price

Hope this helps.

gbogobabs commented 2 years ago

Hello AutovizTeam,

I have been able to do an upgrade on Autoviz But the second library you recommended (lazytransform), I am having a difficult time installing. I left my laptop for 2 hours still the library did not install. I had to stop the process I don't know what the issue might be. Kindly assist I use 8GB RAM and 50GB HDD


From: Home of AutoViz, AutoViML and featurewiz @.> Sent: 18 July 2022 16:10 To: AutoViML/AutoViz @.> Cc: Ruth Babatunde @.>; Mention @.> Subject: Re: [AutoViML/AutoViz] Not able to read or load file using Auto viz (Issue #73)

Hi @gbogobabshttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fgbogobabs&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=MOQVAwYJk4EJ9YGAx1KDPwYBhPYQylZ7HrD35oNBjJM%3D&reserved=0 👍 You can upgrade to the minor big fix version now:

pip install autoviz --upgrade

But I noticed that your dataset does not have any numeric vars. So you must first convert at least one or two variables to numeric before using AutoViz since it does not visualize an all-categorical dataset. You can use our other library 'lazytransform' to convert your dataset to numeric. [house_price]https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fuser-images.githubusercontent.com%2F51647480%2F179543067-65903a9d-b5c4-4ff3-9798-12c746c89bca.png&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=YLCjfONnXUfP%2FI%2By17J33Hjcr6VfST7JJwm34giFTyw%3D&reserved=0

Hope this helps.

— Reply to this email directly, view it on GitHubhttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FAutoViML%2FAutoViz%2Fissues%2F73%23issuecomment-1187621530&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=lVbJ6fZxdIiPIGn%2FH%2BpBWUq3J5YhOWR20gZDfZdOTDg%3D&reserved=0, or unsubscribehttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnotifications%2Funsubscribe-auth%2FAV746DO2XG3YV2CW6TKUY23VUVXXFANCNFSM53XZ3U2A&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=m3TNqVckDKVanT3VQXJEOSnswJpFaCiHvcuyhhbjdMs%3D&reserved=0. You are receiving this because you were mentioned.Message ID: @.***>

AutoViML commented 2 years ago

Hello @gbogobabs 👍 You can try reading the installation instructions on this page: https://github.com/AutoViML/lazytransform

Or you can try using Kaggle or Colab notebooks which are easier to use. Here is a Kaggle notebook that uses LazyTransform: https://www.kaggle.com/code/rsesha/lazytransform-heartdisease-accuracy-77

gbogobabs commented 1 year ago

Hello, Thank you for your mail I have the second column which is price as numeric but i will covert some and revert

Thanks


From: Home of AutoViz, AutoViML and featurewiz @.> Sent: 18 July 2022 16:10 To: AutoViML/AutoViz @.> Cc: Ruth Babatunde @.>; Mention @.> Subject: Re: [AutoViML/AutoViz] Not able to read or load file using Auto viz (Issue #73)

Hi @gbogobabshttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fgbogobabs&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=MOQVAwYJk4EJ9YGAx1KDPwYBhPYQylZ7HrD35oNBjJM%3D&reserved=0 👍 You can upgrade to the minor big fix version now:

pip install autoviz --upgrade

But I noticed that your dataset does not have any numeric vars. So you must first convert at least one or two variables to numeric before using AutoViz since it does not visualize an all-categorical dataset. You can use our other library 'lazytransform' to convert your dataset to numeric. [house_price]https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fuser-images.githubusercontent.com%2F51647480%2F179543067-65903a9d-b5c4-4ff3-9798-12c746c89bca.png&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=YLCjfONnXUfP%2FI%2By17J33Hjcr6VfST7JJwm34giFTyw%3D&reserved=0

Hope this helps.

— Reply to this email directly, view it on GitHubhttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FAutoViML%2FAutoViz%2Fissues%2F73%23issuecomment-1187621530&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=lVbJ6fZxdIiPIGn%2FH%2BpBWUq3J5YhOWR20gZDfZdOTDg%3D&reserved=0, or unsubscribehttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnotifications%2Funsubscribe-auth%2FAV746DO2XG3YV2CW6TKUY23VUVXXFANCNFSM53XZ3U2A&data=05%7C01%7C5BABAR30%40solent.ac.uk%7Cd6b877e9e21a4b8e211208da68cfb048%7Cd684e4cd491a4577bf33546478d72e3c%7C0%7C0%7C637937538466624778%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=m3TNqVckDKVanT3VQXJEOSnswJpFaCiHvcuyhhbjdMs%3D&reserved=0. You are receiving this because you were mentioned.Message ID: @.***>