Python Diff
Released:
Python CLI tool and library for diffing CSV and JSON files
Pandas.DataFrame.diff¶ DataFrame. Diff (periods = 1, axis = 0) source ¶ First discrete difference of element. Calculates the difference of a Dataframe element compared with another element in the Dataframe (default is element in previous row). Parameters periods int, default 1. Periods to shift for calculating difference, accepts negative. Calculate the n-th discrete difference along the given axis. The first difference is given by out i = a i+1 - a i along the given axis, higher differences are calculated by using diff recursively. Python has the two comparison operators and is. At first sight they seem to be the same, but actually they are not. compares two variables based on their actual value. In contrast, the is operator compares two variables based on the object id and returns True if the two variables refer to the same object. Difference between two dates in Python. Ask Question Asked 9 years, 4 months ago. Active 7 months ago. Viewed 318k times 165. I have two different dates and I. There are two main versions of Python and they are Python 2 and 3. This article discusses the differences between these two versions. The key difference between Python 2 and 3 is that Python 2 will get minimum support in future and Python 3 will continue to develop more in future. Overview and Key Difference 2. What is Python 2 3.
Project description
Tool for viewing the difference between two CSV, TSV or JSON files. See Generating a commit log for San Francisco’s official list of trees (and the sf-tree-history repo commit log) for background information on this project.
Installation
Usage
Consider two CSV files:
one.csv
two.csv
csv-diff
can show a human-readable summary of differences between the files:
The --key=id
option means that the id
column should be treated as the unique key, to identify which records have changed.
The tool will automatically detect if your files are comma- or tab-separated. You can over-ride this automatic detection and force the tool to use a specific format using --format=tsv
or --format=csv
.
You can also feed it JSON files, provided they are a JSON array of objects where each object has the same keys. Use --format=json
if your input files are JSON.

Use --show-unchanged
to include full details of the unchanged values for rows with at least one change in the diff output:
You can use the --json
option to get a machine-readable difference:
As a Python library
You can also import the Python library into your own code like so:

diff
will now contain the same data structure as the output in the --json
example above.
If the columns in the CSV have changed, those added or removed columns will be ignored when calculating changes made to specific rows.
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Python Different Operator
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Python Difference Tool
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Calculate the n-th order discrete difference along given axis.
The first order difference is given by out[n]=a[n+1]-a[n] alongthe given axis, higher order differences are calculated by using diffrecursively.
Python Difference Between Two Sets
Parameters: | a : array_like n : int, optional
axis : int, optional
|
---|---|
Returns: | diff : ndarray
|
Examples