dataframe tag

Pandas is mainly used for data analysis and associated manipulation of tabular data in Dataframes. Pandas allows importing data from various file formats such as comma-separated values, JSON, Parquet, SQL database tables or queries, and Microsoft Excel. Pandas allows various data manipulation operations such as merging, reshaping, selecting, as well as data cleaning, and data wrangling features. The development of pandas introduced into Python many comparable features of working with DataFrames that were established in the R programming language. The pandas library is built upon another library NumPy, which is oriented to efficiently working with arrays instead of the features of working on DataFrames.

Reference: WIKIPEDIA

63 questions


1 answers
45 views
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(Modified) I want to separate letters and numbers from Python Data Frame and make them into new columns.

Hello, I'm a beginner studying DataFrame at Python.I want to distinguish between letters and numbers in the specific column of the df. I looked it up and it seems like you're using the import re. I do...

2 years ago

1 answers
88 views
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Is there a way in Python DataFrame to store a specific value position (row or column) and a specific number of values in each variable?

Hello, I'm Python beginner who is learning Python dataframe.fori in range(len(df)) if df1.loc[i, idx1]==HELLO : cnt1=cnt1+1 num=i df2.loc[10, 'idx8'] = df.at[i,'IDX8']There's a code like this, but ...


1 answers
56 views
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Process time data configured with a.m. in Python

import numpy as npimport pandas as pdfrom pandas import DataFramepd.set_option('display.max_rows',10000000000000)pd.set_option('display.max_columns',10000000000000)pd.set_option('display.width',100000...

2 years ago

1 answers
45 views
0
Python dataframe re.sub Post a question.

The API information is being preprocessed using a data frame.In order to eliminate useless text, re.subfunction was used as below.import reimport pandas as pdregex = \(.*\)|\s-\s.*df = pd.dataframe(re...

2 years ago

1 answers
72 views
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Creating Python nested dictionary lists into data frames Question

For example, the following nested dictionary lists are listed: a = [ {'info' : {'name' : 'hahaha', 'status' : 'True'} , 'price' : 500} ]I'd like to change it to the following data frame. 'name' 'stat...


1 answers
54 views
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Python DataFrame Cleanup of Specific Values

location distance a 1 a 1 a 3 b 1 b 2 b 2 c 4 d 1 d 1If there's a data frame df like this,Summarize the number of values of 2 or more for each column. a : 1b : 2c : 1d : 0What should I do to ...

2 years ago

1 answers
44 views
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I have a question about data frame processing.

I loaded the csv file with Pandas.Assigned to a variable called data. Table of contents in the first row through for loop and From the second line, I tried to make a code to express it through loop, I...

2 years ago

1 answers
51 views
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I have a question about how to handle the data frame. You want to find the product of two dfs with the same column name and different index names.

Column names are all the sameYou are trying to find the product of two files with different index names.And I want to use the index name of the multiplied value as the index name of df1.df3 = df1.mul(...

2 years ago

1 answers
42 views
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Data frame question. Delete some row as a condition between two associated data frames.

Assuming that there are two models like this, If there is a name of withdrawal in model 2, the subject (national history, physical education) is I'd like to delete the Korean history of model 1 and ro...

2 years ago

1 answers
49 views
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calculation error for calculating per panas Python data frame column

I want to create a column of (downstream value*1 + middlestream value*2 + upstream value*3)/ 3 from this data The error unsupported operation type(s) for /: 'list' and 'int' continues to appear //resu...

2 years ago
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