Скачать или смотреть Python Pandas Input Output | Import Export Datasets | read_csv, read_excel, read_json, read_table

https://github.com/gitanuurage/gitanu...
   • Python Pandas Workshop Prof Ram Meghe Coll...  

   • Python Pandas Workshop  PBCOE Priyadarshin...  

Day 1: Python - Python Programming - Features of Python -    • Python - Python Programming - Features of ...  
Day 2: Python Data Type -    • Python Data Type | Python Standard Data Ty...  
Day 3: Python String Inbuilt Functions Part 1 -    • Python Data Type | String  | String Inbuil...  
Day 4: Python String Inbuilt Functions Part 2 -    • Python String Inbuilt Functions | String F...  
Day 5: Python String Data Type Slicing and Indexing -    • Python String Data Type Slicing and Indexi...  
Day 6: Python List Inbuilt Functions    • Python List Inbuilt Functions | List Inbui...  
Day 7: Python List Slicing and Indexing    • Python List Indexing & Slicing | List Inde...  
Day 8: Python Tuple Slicing and Indexing    • Python Tuple Indexing and Slicing | Python...  
Day 9: Python Set Inbuilt Functions    • Python Set Inbuilt Functions | Python Set ...  
Day 10: Python Dictionary Inbuilt Functions    • Python Dictionary Inbuilt Functions | Pyth...  
Day 11: Python Inbuilt Exception Handling    • Python Inbuilt Exception Handling | Inbuil...  
Day 12: Python Inbuilt Exception Handling Part II    • Python Inbuilt Exception Handling | Python...  
Day 13: Python Special Argument *args, **kwargs    • Python *args **kwargs | Non-Keyword Argume...  
Day 14: Python Inbuilt Functions    • Python Inbuilt Functions | Inbuilt Functio...  
Day 15: Python Basic Operators    • Python Basic Operators | Arithmetic |Compa...  
Day 16: Introduction to Data Science    • Introduction to Data Science | Data Scienc...  
Day 17: Big Data _ Hadoop - Part 1    • Big Data & Hadoop | Hadoop Ecosystem | Had...  
Day 17: Big Data _ Hadoop - Part 2    • Big Data Hadoop | Hadoop | HDFS | YARN | M...  
Day 17: Big Data _ Hadoop - Part 3    • Big Data Hadoop | Big Data | Hadoop | HIVE...  
Day 18: Python OOP - Classes & Objects    • Python OOP Classes & Objects | Classes | O...  
Day 19: Python OOP Inheritance    • Python OOP Inheritance | Object Oriented P...  
Day 20: Introduction to Hadoop    • Introduction of Hadoop | Hadoop  
Day 21: Data Visualization    • Data Visualization | Tableau | Power BI  
Day 22: What is Python    • What is Python | Python  
Day 23: Data Science Prerequists    • Prerequisites for Data Science  
Day 24: Python OOP Super method Overriding Inheritance    • Python OOP Super method Overriding Inherit...  
Day 25: Tell me about yourself    • Tell me about yourself | What is your name...  
Day 26: Interview Preparation    • Interview Preparation | HR Interview Prepa...  
Day 27: Python Basics    • Python Basic | String | List | Tuple | Set...  


II Day 1: Python Pandas Input Output    • Python Pandas Input Output | Import Export...  

github: https://github.com/gitanuurage/gitanu...

Python Pandas Workshop - Prof Ram Meghe College of Engineering & Management 2022-02-13 14.47.30 - Part II
https://github.com/gitanuurage/gitanu...
   • Python Pandas Workshop   Prof Ram Meghe Co...  
python pandas workshop - prof ram meghe college of engineering & management 2022-02-12 14.41.20

Input/output

Pickling

read_pickle(filepath_or_buffer[,

Load pickled pandas object (or any object) from file.

DataFrame.to_pickle(path[, compression,

Pickle (serialize) object to file.

Flat file

read_table(filepath_or_buffer[, sep,

Read general delimited file into DataFrame.

read_csv(filepath_or_buffer[, sep,

Read a comma-separated values (csv) file into DataFrame.

DataFrame.to_csv([path_or_buf, sep, na_rep,

Write object to a comma-separated values (csv) file.

read_fwf(filepath_or_buffer[, colspecs,

Read a table of fixed-width formatted lines into DataFrame.

Clipboard

read_clipboard([sep])

Read text from clipboard and pass to read_csv.

DataFrame.to_clipboard([excel, sep])

Copy object to the system clipboard.

Excel

read_excel(io[, sheet_name, header, names,

Read an Excel file into a pandas DataFrame.

DataFrame.to_excel(excel_writer[,

Write object to an Excel sheet.

ExcelFile.parse([sheet_name, header, names,

Parse specified sheet(s) into a DataFrame.

Styler.to_excel(excel_writer[, sheet_name,

Write Styler to an Excel sheet.

ExcelWriter(path[, engine, date_format,

Class for writing DataFrame objects into excel sheets.

JSON

read_json([path_or_buf, orient, typ, dtype,

Convert a JSON string to pandas object.

json_normalize(data[, record_path, meta,

Normalize semi-structured JSON data into a flat table.

DataFrame.to_json([path_or_buf, orient,

Convert the object to a JSON string.

build_table_schema(data[, index,

Create a Table schema from data.

HTML

read_html(io[, match, flavor, header,

Read HTML tables into a list of DataFrame objects.

DataFrame.to_html([buf, columns, col_space,

Render a DataFrame as an HTML table.

Styler.to_html([buf, table_uuid,

Write Styler to a file, buffer or string in HTML-CSS format.

XML

read_xml(path_or_buffer[, xpath,

Read XML document into a DataFrame object.

DataFrame.to_xml([path_or_buffer, index,

Render a DataFrame to an XML document.

Latex

DataFrame.to_latex([buf, columns,

Render object to a LaTeX tabular, longtable, or nested table.

Styler.to_latex([buf, column_format,

Write Styler to a file, buffer or string in LaTeX format.

HDFStore: PyTables (HDF5)

read_hdf(path_or_buf[, key, mode, errors,

Read from the store, close it if we opened it.

HDFStore.put(key, value[, format, index,