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---
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date: '2026-03-12T20:00:07+08:00'
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title: 'Using Pandas For Getting Data And Analise Them'
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feature_link: "https://www.midjourney.com/home/"
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feature_text: "by IA Midjourney"
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description: 'Using Pandas For Getting Data And Analise Them'
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isStarred: false
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tags:
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- pandas
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categories:
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- dev
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images:
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keywords:
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series:
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- Data and Data Tools
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---
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## The idea
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I want to test some of the pandas functionality so I try the import from HTML table for make some data analisys.
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So I choose a web page with data in a table (or two in this case)
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```python
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import matplotlib
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import pandas as pd
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```
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Here we have the basic import for the needed package for the project.
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```python
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url = "https://www.mangacodex.com/oricon_yearly.php?title_series=&year_series=All&title_volumes=&year_volumes=All"
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pd.set_option("display.precision", 2)
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```
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Some basic config (the log, the url,...) for my little script. I allwayse put at the top of the file for easy edit of them, if needed.
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```python
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print("Downloading data from the page...")
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tables = pd.read_html(url, thousands='.', decimal =',')
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print(f"Found {len(tables)} tables on the page.")
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df1 = pd.DataFrame(tables[0])
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print(type(df1))
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df2 = pd.DataFrame(tables[1])
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print(type(df2))
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```
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Downloading data from the page...
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Found 2 tables on the page.
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<class 'pandas.DataFrame'>
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<class 'pandas.DataFrame'>
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Starting with the scrape of the page with Pandas. In this case it returnes 2 table in pandas.DataFrame
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```python
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if len(tables) >= 2:
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table_series = tables[0]
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table_volumes = tables[1]
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else:
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print("Error: The page does not contain enough tables.")
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raise Error
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```
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And now we have the two table as pandas Dataframe. Are there some empty data?
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```python
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print("-*-" * 20)
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print("Missing value stats for Series:")
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print(table_series.isnull().sum())
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print()
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print("-*-" * 20)
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print("Missing value stats for Volumes:")
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print(table_volumes.isnull().sum())
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```
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-*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*-
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Missing value stats for Series:
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Ranking 0
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Title 0
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Sales 0
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Year 0
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dtype: int64
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-*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*-
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Missing value stats for Volumes:
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Ranking 0
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Volume 0
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Sales 0
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Year 0
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dtype: int64
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## Start the analysis
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So we know the data is consistant so we need to know some generic data about this two dataset.
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```python
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print("-*-")
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print(table_series.head())
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print(table_series.info(verbose=False))
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print()
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print("-*-")
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print(table_volumes.head())
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print(table_volumes.info(verbose=False))
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```
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-*-
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Ranking Title Sales Year
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0 1 One Piece #50 1678208 2008
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1 2 One Piece #51 1646978 2008
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2 3 Nana #19 1645128 2008
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3 4 One Piece #49 1544000 2008
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4 5 Nana #20 1431335 2008
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<class 'pandas.DataFrame'>
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RangeIndex: 3413 entries, 0 to 3412
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Columns: 4 entries, Ranking to Year
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dtypes: int64(3), str(1)
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memory usage: 106.8 KB
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None
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-*-
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Ranking Volume Sales Year
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0 1 One Piece 5956540 2008
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1 2 Naruto 4261054 2008
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2 3 20th Century Boys 3710054 2008
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3 4 Hitman Reborn! 3371618 2008
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4 5 Bleach 3161825 2008
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<class 'pandas.DataFrame'>
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RangeIndex: 860 entries, 0 to 859
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Columns: 4 entries, Ranking to Year
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dtypes: int64(3), str(1)
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memory usage: 27.0 KB
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None
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```python
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table_series[["Title","Sales","Year"]].plot(title="Manga Series")
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```
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<Axes: title={'center': 'Manga Series'}>
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```python
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```
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2
notescript/using-pandas-for-getting-data-and-analise-them.sh
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notescript/using-pandas-for-getting-data-and-analise-them.sh
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#! /bin/bash
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uv run hugo_nbconvert content/post/2026/using-pandas-for-getting-data-and-analise-them/index.ipynb
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@@ -17,6 +17,7 @@ dependencies = [
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"typer",
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"python-frontmatter",
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"bleach",
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"matplotlib>=3.10.8",
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]
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[project.entry-points.dotenv]
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Reference in New Issue
Block a user