Google Colab
See original GitHub issueRunning on Google Colab
I was trying to run the profiling on Google Colab with profile = ProfileReport(train_data). The problem was: this Error:
concat() got an unexpected keyword argument 'join_axes'
Therefore I tried all all the Google Colab examples in for the Profiling. Which either did not exist anymore or didn’t work any.
As the synthax has changed and: from pandas_profiling.utils.cache import cache_file
doesn’t seam to exist anymore.
Sometimes on my machines the minimal parameter helped, but as with any other parameter added I get the Error:
_plot_histogram() got an unexpected keyword argument 'minimal'
Data: House Pricing csv from Kaggle
> <class 'pandas.core.frame.DataFrame'>
> RangeIndex: 1460 entries, 0 to 1459
> Data columns (total 81 columns):
> # Column Non-Null Count Dtype
> --- ------ -------------- -----
> 0 Id 1460 non-null int64
> 1 MSSubClass 1460 non-null int64
> 2 MSZoning 1460 non-null object
> 3 LotFrontage 1201 non-null float64
> 4 LotArea 1460 non-null int64
> 5 Street 1460 non-null object
> 6 Alley 91 non-null object
> 7 LotShape 1460 non-null object
> 8 LandContour 1460 non-null object
> 9 Utilities 1460 non-null object
> 10 LotConfig 1460 non-null object
> 11 LandSlope 1460 non-null object
> 12 Neighborhood 1460 non-null object
> 13 Condition1 1460 non-null object
> 14 Condition2 1460 non-null object
> 15 BldgType 1460 non-null object
> 16 HouseStyle 1460 non-null object
> 17 OverallQual 1460 non-null int64
> 18 OverallCond 1460 non-null int64
> 19 YearBuilt 1460 non-null int64
> 20 YearRemodAdd 1460 non-null int64
> 21 RoofStyle 1460 non-null object
> 22 RoofMatl 1460 non-null object
> 23 Exterior1st 1460 non-null object
> 24 Exterior2nd 1460 non-null object
> 25 MasVnrType 1452 non-null object
> 26 MasVnrArea 1452 non-null float64
> 27 ExterQual 1460 non-null object
> 28 ExterCond 1460 non-null object
> 29 Foundation 1460 non-null object
> 30 BsmtQual 1423 non-null object
> 31 BsmtCond 1423 non-null object
> 32 BsmtExposure 1422 non-null object
> 33 BsmtFinType1 1423 non-null object
> 34 BsmtFinSF1 1460 non-null int64
> 35 BsmtFinType2 1422 non-null object
> 36 BsmtFinSF2 1460 non-null int64
> 37 BsmtUnfSF 1460 non-null int64
> 38 TotalBsmtSF 1460 non-null int64
> 39 Heating 1460 non-null object
> 40 HeatingQC 1460 non-null object
> 41 CentralAir 1460 non-null object
> 42 Electrical 1459 non-null object
> 43 1stFlrSF 1460 non-null int64
> 44 2ndFlrSF 1460 non-null int64
> 45 LowQualFinSF 1460 non-null int64
> 46 GrLivArea 1460 non-null int64
> 47 BsmtFullBath 1460 non-null int64
> 48 BsmtHalfBath 1460 non-null int64
> 49 FullBath 1460 non-null int64
> 50 HalfBath 1460 non-null int64
> 51 BedroomAbvGr 1460 non-null int64
> 52 KitchenAbvGr 1460 non-null int64
> 53 KitchenQual 1460 non-null object
> 54 TotRmsAbvGrd 1460 non-null int64
> 55 Functional 1460 non-null object
> 56 Fireplaces 1460 non-null int64
> 57 FireplaceQu 770 non-null object
> 58 GarageType 1379 non-null object
> 59 GarageYrBlt 1379 non-null float64
> 60 GarageFinish 1379 non-null object
> 61 GarageCars 1460 non-null int64
> 62 GarageArea 1460 non-null int64
> 63 GarageQual 1379 non-null object
> 64 GarageCond 1379 non-null object
> 65 PavedDrive 1460 non-null object
> 66 WoodDeckSF 1460 non-null int64
> 67 OpenPorchSF 1460 non-null int64
> 68 EnclosedPorch 1460 non-null int64
> 69 3SsnPorch 1460 non-null int64
> 70 ScreenPorch 1460 non-null int64
> 71 PoolArea 1460 non-null int64
> 72 PoolQC 7 non-null object
> 73 Fence 281 non-null object
> 74 MiscFeature 54 non-null object
> 75 MiscVal 1460 non-null int64
> 76 MoSold 1460 non-null int64
> 77 YrSold 1460 non-null int64
> 78 SaleType 1460 non-null object
> 79 SaleCondition 1460 non-null object
> 80 SalePrice 1460 non-null int64
> dtypes: float64(3), int64(35), object(43)
> memory usage: 924.0+ KB
- Environment: Colab
Additional context By the way running with DataLore also didn’t work.
Issue Analytics
- State:
- Created 3 years ago
- Comments:7
Top Results From Across the Web
Welcome To Colaboratory - Colaboratory - Google
Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more. When...
Read more >Google Colab
Colaboratory, or “Colab” for short, is a product from Google Research. Colab allows anybody to write and execute arbitrary python code through the...
Read more >Colaboratory (@GoogleColab) · Twitter
Everyone knows GPUs speed up ML training but did you know they can also turbocharge your analytics workflow? Our friends from @nvidia explain...
Read more >Google Colab Tutorial for Beginners (2022) - YouTube
Learn Google Colab in one video. Google Colab, or "Colaboratory", allows you to write and execute Python in your web browser.
Read more >Getting Started With Google Colab | by Anne Bonner
You can create notebooks in Colab, upload notebooks, store notebooks, share notebooks, mount your Google Drive and use whatever you've got stored in...
Read more >
Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free
Top Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
I also had the same issue in Google Colab. Meresmata’s code snippet fixed the issue.
Seams like restarting the kernel after using:
did work reproduceably with Colab. Also did work once with DataLore, but I could not reproduce that. It would be great when the Colab examples could be updated.