From davidgshi at yahoo.co.uk Fri Oct 2 08:17:41 2020 From: davidgshi at yahoo.co.uk (davidgshi at yahoo.co.uk) Date: Fri, 2 Oct 2020 12:17:41 +0000 (UTC) Subject: [IPython-dev] ValueError: arrays must all be same length In-Reply-To: References: Message-ID: <2029160029.1762793.1601641061894@mail.yahoo.com> Hello, I got a json response from an API and tried to use pandas to put data into a dataframe. However, I kept getting this?ValueError: arrays must all be same length. Can anyone help? The following is the json text.? Regards, Shao { "locationId": "1-1004508435", "providerId": "1-101641521", "organisationType": "Location", "type": "Social Care Org", "name": "Meadow Rose Nursing Home", "brandId": "BD510", "brandName": "BRAND MACC Care", "onspdCcgCode": "E38000220", "onspdCcgName": "NHS Birmingham and Solihull CCG", "odsCode": "VM4G9", "uprn": "100070537642", "registrationStatus": "Registered", "registrationDate": "2013-12-16", "dormancy": "N", "numberOfBeds": 56, "postalAddressLine1": "96 The Roundabout", "postalAddressTownCity": "Birmingham", "postalAddressCounty": "West Midlands", "region": "West Midlands", "postalCode": "B31 2TX", "onspdLatitude": 52.399843, "onspdLongitude": -1.989241, "careHome": "Y", "inspectionDirectorate": "Adult social care", "mainPhoneNumber": "01214769808", "constituency": "Birmingham, Northfield", "localAuthority": "Birmingham", "lastInspection": { "date": "2020-06-24" }, "lastReport": { "publicationDate": "2020-10-01" }, "relationships": [ ], "locationTypes": [ ], "regulatedActivities": [ { "name": "Accommodation for persons who require nursing or personal care", "code": "RA2", "contacts": [ { "personTitle": "Mr", "personGivenName": "Steven", "personFamilyName": "Kazembe", "personRoles": [ "Registered Manager" ] } ] }, { "name": "Treatment of disease, disorder or injury", "code": "RA5", "contacts": [ { "personTitle": "Mr", "personGivenName": "Steven", "personFamilyName": "Kazembe", "personRoles": [ "Registered Manager" ] } ] } ], "gacServiceTypes": [ { "name": "Nursing homes", "description": "Care home service with nursing" } ], "inspectionCategories": [ { "code": "S1", "primary": "true", "name": "Residential social care" } ], "specialisms": [ { "name": "Caring for adults over 65 yrs" }, { "name": "Caring for adults under 65 yrs" }, { "name": "Dementia" }, { "name": "Physical disabilities" } ], "inspectionAreas": [ ], "currentRatings": { "overall": { "rating": "Requires improvement", "reportDate": "2020-10-01", "reportLinkId": "1157c975-c2f1-423e-a2b4- 66901779e014", "useOfResources": { }, "keyQuestionRatings": [ { "name": "Safe", "rating": "Requires improvement", "reportDate": "2020-10-01", "reportLinkId": "1157c975-c2f1-423e-a2b4- 66901779e014" }, { "name": "Well-led", "rating": "Requires improvement", "reportDate": "2020-10-01", "reportLinkId": "1157c975-c2f1-423e-a2b4- 66901779e014" }, { "name": "Caring", "rating": "Good", "reportDate": "2019-10-04", "reportLinkId": "63ff05ec-4d31-406e-83de- 49a271cfdc43" }, { "name": "Responsive", "rating": "Good", "reportDate": "2019-10-04", "reportLinkId": "63ff05ec-4d31-406e-83de- 49a271cfdc43" }, { "name": "Effective", "rating": "Requires improvement", "reportDate": "2019-10-04", "reportLinkId": "63ff05ec-4d31-406e-83de- 49a271cfdc43" } ] }, "reportDate": "2020-10-01" }, "historicRatings": [ { "reportLinkId": "63ff05ec-4d31-406e-83de- 49a271cfdc43", "reportDate": "2019-10-04", "overall": { "rating": "Requires improvement", "keyQuestionRatings": [ { "name": "Safe", "rating": "Requires improvement" }, { "name": "Well-led", "rating": "Requires improvement" } ] } }, { "reportLinkId": "4f20da40-89a4-4c45-a7f9- bfd52b48f286", "reportDate": "2017-09-08", "overall": { "rating": "Good", "keyQuestionRatings": [ { "name": "Safe", "rating": "Good" }, { "name": "Well-led", "rating": "Good" }, { "name": "Caring", "rating": "Good" }, { "name": "Responsive", "rating": "Good" }, { "name": "Effective", "rating": "Requires improvement" } ] } }, { "reportLinkId": "0cc4226b-401e-4f0f-ba35- 062cbadffa8f", "reportDate": "2016-06-11", "overall": { "rating": "Requires improvement", "keyQuestionRatings": [ { "name": "Safe", "rating": "Requires improvement" }, { "name": "Well-led", "rating": "Requires improvement" }, { "name": "Caring", "rating": "Requires improvement" }, { "name": "Responsive", "rating": "Requires improvement" }, { "name": "Effective", "rating": "Good" } ] } }, { "reportLinkId": "a11c1e52-ddfd-4cd8-8b56- 1b96ac287c96", "reportDate": "2015-01-12", "overall": { "rating": "Good", "keyQuestionRatings": [ { "name": "Safe", "rating": "Good" }, { "name": "Well-led", "rating": "Good" }, { "name": "Caring", "rating": "Good" }, { "name": "Responsive", "rating": "Requires improvement" }, { "name": "Effective", "rating": "Good" } ] } } ], "reports": [ { "linkId": "1157c975-c2f1-423e-a2b4- 66901779e014", "reportDate": "2020-10-01", "reportUri": "/reports/1157c975-c2f1-423e- a2b4-66901779e014", "firstVisitDate": "2020-06-23", "reportType": "Location" }, { "linkId": "63ff05ec-4d31-406e-83de- 49a271cfdc43", "reportDate": "2019-10-04", "reportUri": "/reports/63ff05ec-4d31-406e- 83de-49a271cfdc43", "firstVisitDate": "2019-08-28", "reportType": "Location" }, { "linkId": "4f20da40-89a4-4c45-a7f9- bfd52b48f286", "reportDate": "2017-09-08", "reportUri": "/reports/4f20da40-89a4-4c45- a7f9-bfd52b48f286", "firstVisitDate": "2017-07-19", "reportType": "Location" }, { "linkId": "0cc4226b-401e-4f0f-ba35- 062cbadffa8f", "reportDate": "2016-06-11", "reportUri": "/reports/0cc4226b-401e-4f0f- ba35-062cbadffa8f", "firstVisitDate": "2016-03-15", "reportType": "Location" }, { "linkId": "a11c1e52-ddfd-4cd8-8b56- 1b96ac287c96", "reportDate": "2015-01-12", "reportUri": "/reports/a11c1e52-ddfd-4cd8- 8b56-1b96ac287c96", "firstVisitDate": "2014-08-12", "reportType": "Location" } ] } In?[?]:?In?[25]:j?import pandas as pdimport jsonj = json.JSONDecoder().decode(req. text) ###req.jsondf = pd.DataFrame.from_dict(j) -------------- next part -------------- An HTML attachment was scrubbed... URL: From erik.m.bray at gmail.com Fri Oct 2 12:44:31 2020 From: erik.m.bray at gmail.com (E. Madison Bray) Date: Fri, 2 Oct 2020 18:44:31 +0200 Subject: [IPython-dev] ValueError: arrays must all be same length In-Reply-To: <2029160029.1762793.1601641061894@mail.yahoo.com> References: <2029160029.1762793.1601641061894@mail.yahoo.com> Message-ID: Hello, This (mostly defunct) mailing list is for discussing use and development of IPython; it is not for help with general programming questions. The error you're getting is because DataFrame.from_dict [1] doesn't somehow convert any arbitrary structure of nested dictionaries to a DataFrame. It expects a dict mapping column names to homogeneously sized lists/arrays forming the data for those columns. If you need more follow-up help try stackoverflow.com [1] https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.from_dict.html On Fri, Oct 2, 2020 at 2:17 PM davidgshi at yahoo.co.uk wrote: > > Hello, > > I got a json response from an API and tried to use pandas to put data into a dataframe. > > However, I kept getting this ValueError: arrays must all be same length. > > Can anyone help? > > The following is the json text. Regards, Shao > > { > "locationId": "1-1004508435", > "providerId": "1-101641521", > "organisationType": "Location", > "type": "Social Care Org", > "name": "Meadow Rose Nursing Home", > "brandId": "BD510", > "brandName": "BRAND MACC Care", > "onspdCcgCode": "E38000220", > "onspdCcgName": "NHS Birmingham and Solihull CCG", > "odsCode": "VM4G9", > "uprn": "100070537642", > "registrationStatus": "Registered", > "registrationDate": "2013-12-16", > "dormancy": "N", > "numberOfBeds": 56, > "postalAddressLine1": "96 The Roundabout", > "postalAddressTownCity": "Birmingham", > "postalAddressCounty": "West Midlands", > "region": "West Midlands", > "postalCode": "B31 2TX", > "onspdLatitude": 52.399843, > "onspdLongitude": -1.989241, > "careHome": "Y", > "inspectionDirectorate": "Adult social care", > "mainPhoneNumber": "01214769808", > "constituency": "Birmingham, Northfield", > "localAuthority": "Birmingham", > "lastInspection": { > "date": "2020-06-24" > }, > "lastReport": { > "publicationDate": "2020-10-01" > }, > "relationships": [ > > ], > "locationTypes": [ > > ], > "regulatedActivities": [ > { > "name": "Accommodation for persons who require nursing or personal care", > "code": "RA2", > "contacts": [ > { > "personTitle": "Mr", > "personGivenName": "Steven", > "personFamilyName": "Kazembe", > "personRoles": [ > "Registered Manager" > ] > } > ] > }, > { > "name": "Treatment of disease, disorder or injury", > "code": "RA5", > "contacts": [ > { > "personTitle": "Mr", > "personGivenName": "Steven", > "personFamilyName": "Kazembe", > "personRoles": [ > "Registered Manager" > ] > } > ] > } > ], > "gacServiceTypes": [ > { > "name": "Nursing homes", > "description": "Care home service with nursing" > } > ], > "inspectionCategories": [ > { > "code": "S1", > "primary": "true", > "name": "Residential social care" > } > ], > "specialisms": [ > { > "name": "Caring for adults over 65 yrs" > }, > { > "name": "Caring for adults under 65 yrs" > }, > { > "name": "Dementia" > }, > { > "name": "Physical disabilities" > } > ], > "inspectionAreas": [ > > ], > "currentRatings": { > "overall": { > "rating": "Requires improvement", > "reportDate": "2020-10-01", > "reportLinkId": "1157c975-c2f1-423e-a2b4- 66901779e014", > "useOfResources": { > > }, > "keyQuestionRatings": [ > { > "name": "Safe", > "rating": "Requires improvement", > "reportDate": "2020-10-01", > "reportLinkId": "1157c975-c2f1-423e-a2b4- 66901779e014" > }, > { > "name": "Well-led", > "rating": "Requires improvement", > "reportDate": "2020-10-01", > "reportLinkId": "1157c975-c2f1-423e-a2b4- 66901779e014" > }, > { > "name": "Caring", > "rating": "Good", > "reportDate": "2019-10-04", > "reportLinkId": "63ff05ec-4d31-406e-83de- 49a271cfdc43" > }, > { > "name": "Responsive", > "rating": "Good", > "reportDate": "2019-10-04", > "reportLinkId": "63ff05ec-4d31-406e-83de- 49a271cfdc43" > }, > { > "name": "Effective", > "rating": "Requires improvement", > "reportDate": "2019-10-04", > "reportLinkId": "63ff05ec-4d31-406e-83de- 49a271cfdc43" > } > ] > }, > "reportDate": "2020-10-01" > }, > "historicRatings": [ > { > "reportLinkId": "63ff05ec-4d31-406e-83de- 49a271cfdc43", > "reportDate": "2019-10-04", > "overall": { > "rating": "Requires improvement", > "keyQuestionRatings": [ > { > "name": "Safe", > "rating": "Requires improvement" > }, > { > "name": "Well-led", > "rating": "Requires improvement" > } > ] > } > }, > { > "reportLinkId": "4f20da40-89a4-4c45-a7f9- bfd52b48f286", > "reportDate": "2017-09-08", > "overall": { > "rating": "Good", > "keyQuestionRatings": [ > { > "name": "Safe", > "rating": "Good" > }, > { > "name": "Well-led", > "rating": "Good" > }, > { > "name": "Caring", > "rating": "Good" > }, > { > "name": "Responsive", > "rating": "Good" > }, > { > "name": "Effective", > "rating": "Requires improvement" > } > ] > } > }, > { > "reportLinkId": "0cc4226b-401e-4f0f-ba35- 062cbadffa8f", > "reportDate": "2016-06-11", > "overall": { > "rating": "Requires improvement", > "keyQuestionRatings": [ > { > "name": "Safe", > "rating": "Requires improvement" > }, > { > "name": "Well-led", > "rating": "Requires improvement" > }, > { > "name": "Caring", > "rating": "Requires improvement" > }, > { > "name": "Responsive", > "rating": "Requires improvement" > }, > { > "name": "Effective", > "rating": "Good" > } > ] > } > }, > { > "reportLinkId": "a11c1e52-ddfd-4cd8-8b56- 1b96ac287c96", > "reportDate": "2015-01-12", > "overall": { > "rating": "Good", > "keyQuestionRatings": [ > { > "name": "Safe", > "rating": "Good" > }, > { > "name": "Well-led", > "rating": "Good" > }, > { > "name": "Caring", > "rating": "Good" > }, > { > "name": "Responsive", > "rating": "Requires improvement" > }, > { > "name": "Effective", > "rating": "Good" > } > ] > } > } > ], > "reports": [ > { > "linkId": "1157c975-c2f1-423e-a2b4- 66901779e014", > "reportDate": "2020-10-01", > "reportUri": "/reports/1157c975-c2f1-423e- a2b4-66901779e014", > "firstVisitDate": "2020-06-23", > "reportType": "Location" > }, > { > "linkId": "63ff05ec-4d31-406e-83de- 49a271cfdc43", > "reportDate": "2019-10-04", > "reportUri": "/reports/63ff05ec-4d31-406e- 83de-49a271cfdc43", > "firstVisitDate": "2019-08-28", > "reportType": "Location" > }, > { > "linkId": "4f20da40-89a4-4c45-a7f9- bfd52b48f286", > "reportDate": "2017-09-08", > "reportUri": "/reports/4f20da40-89a4-4c45- a7f9-bfd52b48f286", > "firstVisitDate": "2017-07-19", > "reportType": "Location" > }, > { > "linkId": "0cc4226b-401e-4f0f-ba35- 062cbadffa8f", > "reportDate": "2016-06-11", > "reportUri": "/reports/0cc4226b-401e-4f0f- ba35-062cbadffa8f", > "firstVisitDate": "2016-03-15", > "reportType": "Location" > }, > { > "linkId": "a11c1e52-ddfd-4cd8-8b56- 1b96ac287c96", > "reportDate": "2015-01-12", > "reportUri": "/reports/a11c1e52-ddfd-4cd8- 8b56-1b96ac287c96", > "firstVisitDate": "2014-08-12", > "reportType": "Location" > } > ] > } > > In [ ]: > > > In [25]: > j > > > import pandas as pd > > import json > > j = json.JSONDecoder().decode(req. text) ###req.json > > df = pd.DataFrame.from_dict(j) > > > > > _______________________________________________ > IPython-dev mailing list > IPython-dev at python.org > https://mail.python.org/mailman/listinfo/ipython-dev From varunaseneviratna at gmail.com Sun Oct 11 04:25:03 2020 From: varunaseneviratna at gmail.com (Varuna Seneviratna) Date: Sun, 11 Oct 2020 13:55:03 +0530 Subject: [IPython-dev] Why doesn't Jupyter Noebook display auto complete Message-ID: Hello, I have installed Anaconda3, the free version for individuals. The problem is, if the Jupyter Notebook is started from the cmd, the auto-complete doesn't get displayed. But if the Jupyter Notebook is started from within Anaconda3 command prompt, the auto complete is displayed. And why doesn't it also, when a downloaded Jupyter Notebook file is opened, then too, the auto complete doesn't get displayed. How to get auto-complete displayed? -------------- next part -------------- An HTML attachment was scrubbed... URL: