3z2xfdzrf 

   
   

Output:

RegistrationNo  DispatchNoteNo  
KAZ 882M        20230220325         3500
                20230228919         1500
KCR 995W        2023020294           500
                2023020499          1000
                2023021094          1500
                                    ... 
KDE 539E        20230316317         8500
                1420230213120137    4000
                1420230213123838    2000
                1420230301113125    1500
                1420230302015754    2500
Name: Amount, Length: 131, dtype: int64
col_0     2023020191        ...  1420230302015920
row_0                       ...                  
KAZ 882M               NaN  ...               NaN
KCR 995W               NaN  ...            1000.0
KCU 087K            2500.0  ...               NaN
KCV 691E               NaN  ...               NaN
KDA 875E               NaN  ...               NaN
KDE 539E               NaN  ...               NaN

[6 rows x 131 columns]
col_0     row_0  2023020191  ...  1420230302015825  1420230302015920
0      KAZ 882M         0.0  ...               0.0               0.0
1      KCR 995W         0.0  ...               0.0            1000.0
2      KCU 087K      2500.0  ...            2000.0               0.0
3      KCV 691E         0.0  ...               0.0               0.0
4      KDA 875E         0.0  ...               0.0               0.0
5      KDE 539E         0.0  ...               0.0               0.0

[6 rows x 132 columns]
col_0  DispatchNoteNo  Member Deposits  Total
0                 NaN              NaN    NaN
1                 NaN              NaN    NaN
2                 NaN              NaN    NaN
3                 NaN              NaN    NaN
4                 NaN              NaN    NaN
5                 NaN              NaN    NaN
[{'DispatchNoteNo': nan, 'Member Deposits': nan, 'Total': nan}, {'DispatchNoteNo': nan, 'Member Deposits': nan, 'Total': nan}, {'DispatchNoteNo': nan, 'Member Deposits': nan, 'Total': nan}, {'DispatchNoteNo': nan, 'Member Deposits': nan, 'Total': nan}, {'DispatchNoteNo': nan, 'Member Deposits': nan, 'Total': nan}, {'DispatchNoteNo': nan, 'Member Deposits': nan, 'Total': nan}]

Python Online Compiler

Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.

Taking inputs (stdin)

OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.


About Python

Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.

Tutorial & Syntax help

Loops

1. If-Else:

When ever you want to perform a set of operations based on a condition IF-ELSE is used.


Note:

Indentation is very important in Python, make sure the indentation is followed correctly

2. For:

For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:


3. While:

While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.


Collections

There are four types of collections in Python.

1. List:

List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:


2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:


Below throws an error if you assign another value to tuple again.


3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:


4. Dictionary:

Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.

Example:


Supported Libraries

Following are the libraries supported by OneCompiler's Python compiler

NameDescription
NumPyNumPy python library helps users to work on arrays with ease
SciPySciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learnScikit-learn or Scikit-learn is the most useful library for machine learning in Python
PandasPandas is the most efficient Python library for data manipulation and analysis
DOcplexDOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling


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