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Merge pull request #3 from Mahmoud-alzoubi95/omar
Write using pandas
2 parents aeae507 + c486421 commit 2016706

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4 files changed

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CSV_files/README.md

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- using csv.DictWritter class
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* **Write using cvs.DictWritter() class**: this class returns a writer object which maps directories onto output rows.
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* **Write using pandas module**:You can save your Pandas DataFrame as a CSV file with .to_csv(data)
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CSV_files/poetry.lock

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CSV_files/pyproject.toml

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[tool.poetry]
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name = "csv_files"
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version = "0.1.0"
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description = ""
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authors = ["Omar-zoubi <o.fandi02@gmail.com>"]
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[tool.poetry.dependencies]
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python = "^3.9"
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pandas = "^1.3.0"
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[tool.poetry.dev-dependencies]
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[build-system]
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requires = ["poetry-core>=1.0.0"]
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build-backend = "poetry.core.masonry.api"

CSV_files/write_csv.py

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import csv
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import pandas as pd
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def write_to_csv_files_using_DictWriter_class(data,fields,filename):
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# writing data rows
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writer.writerows(data)
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def write_by_pandas(name_dict):
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df = pd.DataFrame(name_dict)
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return df
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if __name__=="__main__":
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# my data rows as dictionary objects
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fields = ['name','course']
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# name of csv file
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filename = "CSV_files/assets/course_name.csv"
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filename = "assets/course_name.csv"
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# writing to csv file
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print(write_to_csv_files_using_DictWriter_class(mydata,fields,filename))
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print(write_to_csv_files_using_DictWriter_class(mydata,fields,filename))
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name_dict = {
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'Name': ['Omar','Mahmoud','Noura','Raneem'],
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'Score': [82,86,84,65]
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}
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print(write_by_pandas(name_dict))

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