python Programming Glossary: dtypes

pandas: combine two columns in a DataFrame

http://stackoverflow.com/questions/10972410/pandas-combine-two-columns-in-a-dataframe

239897 non null values dtstamp 239897 non null values dtypes float64 4 object 1 where foo and bar are columns which contain.. 239897 non null values dtstamp 239897 non null values dtypes float64 4 object 1 That is the NaN values that made up bar were..

How to write Pandas dataframe to sqlite with Index

http://stackoverflow.com/questions/14431646/how-to-write-pandas-dataframe-to-sqlite-with-index

values AAPL 1006 non null values GE 1006 non null values dtypes datetime64 ns 1 float64 2 Following the docs setting a SQLite..

How to trouble-shoot HDFStore Exception: cannot find the correct atom type

http://stackoverflow.com/questions/15488809/how-to-trouble-shoot-hdfstore-exception-cannot-find-the-correct-atom-type

non null values Steering_Controls 401125 non null values dtypes float64 2 int64 6 object 45 Code to store the dataframe In 30.. slowly I believe this is due to the pickling for object dtypes even though the object is just string data . Are there NaN value.. pd.read_csv. I pass a dictionary of all objects to the dtypes parameter. I then iterate over the file and store each chunk..

HDF5 and SQLite. Concurrency, compression & I/O performance [closed]

http://stackoverflow.com/questions/16628329/hdf5-and-sqlite-concurrency-compression-i-o-performance

A 1000000 non null values B 1000000 non null values dtypes float64 2 def test_sql_write df if os.path.exists 'test.sql'..

Parsing xml to pandas data frame throws memory error

http://stackoverflow.com/questions/16922432/parsing-xml-to-pandas-data-frame-throws-memory-error

Time 12960 non null values value 12960 non null values dtypes object 2 pef 5 Time value 0 2013 05 01 00 00 00 258 1 2013..

What is the difference between NaN and None?

http://stackoverflow.com/questions/17534106/what-is-the-difference-between-nan-and-none

functions isnull and notnull which can be used across the dtypes to detect NA values. ... Thus I have chosen the Pythonic 𦑩racticality..

How to efficiently parse emails without touching attachments using Python

http://stackoverflow.com/questions/2301213/how-to-efficiently-parse-emails-without-touching-attachments-using-python

'text plain' body n part.get_payload n dtypes part.get_params None 'Content Disposition' if not dtypes if.. n dtypes part.get_params None 'Content Disposition' if not dtypes if part.get_content_type 'text plain' continue ctypes part.get_params.. continue else attachment filename None None for key val in dtypes key key.lower if key 'filename' filename val if key 'attachment'..

numpy array with dtype Decimal?

http://stackoverflow.com/questions/7770870/numpy-array-with-dtype-decimal

array with dtype Decimal Are Decimal dtypes available in numpy import decimal numpy d decimal.Decimal '1.1'..

Converting numpy dtypes to native python types

http://stackoverflow.com/questions/9452775/converting-numpy-dtypes-to-native-python-types

numpy dtypes to native python types If I have a numpy dtype how do I automatically.. does numpy provide some automatic way of converting its dtypes into the closes possible native python types This mapping need.. need not be exhaustive but it should convert the common dtypes that have a close python analog. I think this already happens..