Python for Data Science - Concatenating and transforming data
2021-06-11 16:02
标签：dde ati taf apt imp pre ica from datatable Python for Data Science - Concatenating and transforming data 标签：dde ati taf apt imp pre ica from datatable 原文地址：https://www.cnblogs.com/keepmoving1113/p/14223109.htmlChapter 2 - Data Preparation Basics
Segment 4 - Concatenating and transforming data
import numpy as np
import pandas as pd
from pandas import Series, DataFrame
DF_obj = pd.DataFrame(np.arange(36).reshape(6,6))
DF_obj
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DF_obj_2 = pd.DataFrame(np.arange(15).reshape(5,3))
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Concatenating data
pd.concat([DF_obj,DF_obj_2],axis=1)
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pd.concat([DF_obj,DF_obj_2])
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Transforming data
Dropping data
DF_obj.drop([0,2])
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DF_obj.drop([0,2],axis=1)
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Adding data
series_obj = Series(np.arange(6))
series_obj.name = "added_variable"
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Name: added_variable, dtype: int64
variable_added = DataFrame.join(DF_obj,series_obj)
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added_datatable = variable_added.append(variable_added, ignore_index=False)
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added_datatable = variable_added.append(variable_added, ignore_index=True)
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added_variable
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Sorting data
DF_sorted = DF_obj.sort_values(by=(5),ascending=[False])
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文章标题：Python for Data Science - Concatenating and transforming data
文章链接：http://soscw.com/essay/93634.html