data-conversion

问题 I'm looking to ingest a JSON file with arrays into my database. The json file with array items is as below:- { "campaignId": "11067182", "campaignName": "11067182", "channelId": "%pxbid_universal_site_id=!;", "channelName": "%pxbid_universal_site_id=!;", "placementId": "%epid!", "placementName": "%epid!", "publisherId": "%esid!", "publisherName": "%esid!", "hitDate": "2017-03-23", "lowRiskImpressions": "61485", "lowRiskPct": "64.5295", "moderateRiskImpressions": "1887", "moderateRiskPct": "1

问题 I'm using OpenEXR to read EXR files in Python. I have R, G and B channels with Half data (float16). Using Numpy, I tried, unsuccessfully to convert the data from float16 to uint8 (0-255 colors). rCh = getChanEXR(imageFile, 'R','HALF') rCh = np.array(rCh).astype('uint8') So, I put the R channel pixel values to a variable rCh. Then I convert the array.array to an np.array so that I can use the astype method to convert it to uint8. I am new to this, so I clearly do not have it right as all

问题 My Command output is something like 0x53 0x48 0x41 0x53 0x48 0x49 . Now i need to store this in a hex value and then convert it to ASCII as SHASHI . What i tried- I tried to store the values in hex as int("0x31",16) then decode this to ASCII using decode("ascii") but no luck. "0x31".decode("utf16") this throws an error AttributeError: 'str' object has no attribute 'decode' Some other stuffs with random encoding and decoding whatever found through Google . But still no luck. Question :- How

问题 I am not sure what is the fuss about Room as I find it very crappy. Almost nothing works as expected. To my issue I want to test the type converter thingy they have (so far disappointed). To test it I made a simple class from an example I saw online. I am sure it is something stupid not even related to the code but I will give it a try here anyway. So far I have: @Entity public class User { @PrimaryKey private int id; private String name; @TypeConverters(Converters.class) List<String> pets =

问题 I have the following values (800) in my data frame cat1 <- c("bi", "bt", "ch", "fs", "hc", "lh", "mo", "ms", "nn", "ro", "sc", "si", "so", "ti", "ww", "dt", "3et", "a", "a", "a", "a", "a", "a", "aam", "aao", "ac", "acs", "aeo", "aeq", "afm", "aic", "aio", "akq", "am", "am", "am", "am", "amc", "amc", "aoq", "aoq", "aot", "apm", "apo", "apo", "aqf", "ass", "ata", "ata", "atc", "atf", "atq", "atr", "aun", "bae", "baf", "bai", "bcm", "bcs", "bea", "bee", "bef", "bem", "bem", "bem", "bem", "bem",

问题 Suppose I have pandas dataframe as: df=pd.DataFrame({'a':[1,2,3],'b':[4,5,6]}) When I convert it into dask dataframe what should name and divisions parameter consist of: from dask import dataframe as dd sd=dd.DataFrame(df.to_dict(),divisions=1,meta=pd.DataFrame(columns=df.columns,index=df.index)) TypeError: init () missing 1 required positional argument: 'name' Edit : Suppose I create a pandas dataframe like: pd.DataFrame({'a':[1,2,3],'b':[4,5,6]}) Similarly how to create dask dataframe as it

问题 Suppose I have pandas dataframe as: df=pd.DataFrame({'a':[1,2,3],'b':[4,5,6]}) When I convert it into dask dataframe what should name and divisions parameter consist of: from dask import dataframe as dd sd=dd.DataFrame(df.to_dict(),divisions=1,meta=pd.DataFrame(columns=df.columns,index=df.index)) TypeError: init () missing 1 required positional argument: 'name' Edit : Suppose I create a pandas dataframe like: pd.DataFrame({'a':[1,2,3],'b':[4,5,6]}) Similarly how to create dask dataframe as it

问题 I have a measuring device that records data in .dat files like raw_data.dat in this folder, all with the same structure, and I want to be able to extract the last table in the file into a pandas data frame. The file has a few tables and I am not sure if the tabulation structure here is standard for .dat files but I have tried to paste the text into excel and it recognises the text as separate table, so there is probably a fairly standard way to read the structure correctly into python. I

问题 I have a measuring device that records data in .dat files like raw_data.dat in this folder, all with the same structure, and I want to be able to extract the last table in the file into a pandas data frame. The file has a few tables and I am not sure if the tabulation structure here is standard for .dat files but I have tried to paste the text into excel and it recognises the text as separate table, so there is probably a fairly standard way to read the structure correctly into python. I

问题 I have a measuring device that records data in .dat files like raw_data.dat in this folder, all with the same structure, and I want to be able to extract the last table in the file into a pandas data frame. The file has a few tables and I am not sure if the tabulation structure here is standard for .dat files but I have tried to paste the text into excel and it recognises the text as separate table, so there is probably a fairly standard way to read the structure correctly into python. I