Python Pandas Tutorial 5: Handle Missing Data: fillna, dropna, interpolate
In this tutorial we'll learn how to handle missing data in pandas using fillna, interpolate and dropna methods. You can fill missing values using a value or list of values or use one of the interpolation methods.
Topics that are covered in this Python Pandas Video:
0:00 Introduction
2:30 Convert string column into the date type
3:15 Use date as an index of dataframe usine set_index() method
4:10 Use fillna() method in dataframe
7:35 Use fillna(method="ffill") method in dataframe
8:57 Use fillna(method="bfill") method in dataframe
9:56 "axis" parameter in fillna() method in dataframe
11:18 "limit" parameter in fillna() method in dataframe
13:46 interpolate() to do interpolation in dataframe
15:34 interpolate() method "time"
16:50 dropna() method Drop all the rows which has "na" in dataframe
17:50 "how" parameter in dropna() method
18:33 "thresh" parameter in dropna() method
Code link: https://github.com/codebasics/py/tree/master/pandas/5_handling_missing_data_fillna_dropna_interpolate
Popular Playlist:
Complete python course: https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0
Data science course: https://www.youtube.com/playlist?list=PLeo1K3hjS3us_ELKYSj_Fth2tIEkdKXvV
Machine learning tutorials: https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
Pandas tutorials: https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
Git github tutorials: https://www.youtube.com/playlist?list=PLeo1K3hjS3usJuxZZUBdjAcilgfQHkRzW
Matplotlib course: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl
Data structures course: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu_n_a__MI_KktGTLYopZ12
Data Science Project - Real Estate Price Prediction: https://www.youtube.com/watch?v=rdfbcdP75KI&list=PLeo1K3hjS3uu7clOTtwsp94PcHbzqpAdg
To download csv and code for all tutorials: go to https://github.com/codebasics/py, click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file.
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Видео Python Pandas Tutorial 5: Handle Missing Data: fillna, dropna, interpolate канала codebasics
Topics that are covered in this Python Pandas Video:
0:00 Introduction
2:30 Convert string column into the date type
3:15 Use date as an index of dataframe usine set_index() method
4:10 Use fillna() method in dataframe
7:35 Use fillna(method="ffill") method in dataframe
8:57 Use fillna(method="bfill") method in dataframe
9:56 "axis" parameter in fillna() method in dataframe
11:18 "limit" parameter in fillna() method in dataframe
13:46 interpolate() to do interpolation in dataframe
15:34 interpolate() method "time"
16:50 dropna() method Drop all the rows which has "na" in dataframe
17:50 "how" parameter in dropna() method
18:33 "thresh" parameter in dropna() method
Code link: https://github.com/codebasics/py/tree/master/pandas/5_handling_missing_data_fillna_dropna_interpolate
Popular Playlist:
Complete python course: https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0
Data science course: https://www.youtube.com/playlist?list=PLeo1K3hjS3us_ELKYSj_Fth2tIEkdKXvV
Machine learning tutorials: https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
Pandas tutorials: https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
Git github tutorials: https://www.youtube.com/playlist?list=PLeo1K3hjS3usJuxZZUBdjAcilgfQHkRzW
Matplotlib course: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl
Data structures course: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu_n_a__MI_KktGTLYopZ12
Data Science Project - Real Estate Price Prediction: https://www.youtube.com/watch?v=rdfbcdP75KI&list=PLeo1K3hjS3uu7clOTtwsp94PcHbzqpAdg
To download csv and code for all tutorials: go to https://github.com/codebasics/py, click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file.
Website: http://codebasicshub.com/
Facebook: https://www.facebook.com/codebasicshub
Twitter: https://twitter.com/codebasicshub
Видео Python Pandas Tutorial 5: Handle Missing Data: fillna, dropna, interpolate канала codebasics
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