It is suggested that you avoid using Excel files (or other spreadsheet tools) for storing data. Parquet file is currently the best format for storing table-like data. If you do want to interact and manipulate your data using Excel (or other spreadsheet tools), dump your data into CSV files and …
User-defined Function (UDF) in PySpark
Tips and Traps¶
The easist way to define a UDF in PySpark is to use the
@udf
tag, and similarly the easist way to define a Pandas UDF in PySpark is to use the@pandas_udf
tag. Pandas UDFs are preferred to UDFs for server reasons. First, pandas UDFs are typically much faster than UDFs. Second, pandas UDFs are more flexible than UDFs on parameter passing. Both UDFs and pandas UDFs can take multiple columns as parameters. In addition, pandas UDFs can take a DataFrame as parameter (when passed to theapply
Compare Data Frames Using DataCompy in Python
Installation¶
Rename Rows and Columns in a pandas DataFrame
Construct pandas DataFrames in Python
Select Columns from Structured Text Files
Python pandas
My first choice is pandas in Python. However, below are some tools for quick and dirty solutions.
q
q -t -H 'select c1, c3 from file.txt'
cut
cut -d\t -f1,3 file.txt
awk
awk -F'\t' '{print $1 "\t" $3}' file.tsv
Note: neither cut …