How to use panda melt to change this data
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
Please written by computer source
How to use panda melt to change this data
![0
1
2
3
4
Unnamed:
0
0
1
2
3
Country/Region 1/22/20 1/23/20 1/24/20 1/25/20 1/26/20 1/27/20 1/28/20 1/29/20
Australia
China
Italy
US
4 United Kingdom
5 rows x 1123 columns
<
0
548
0
1
0
0
643
0
1
0
0
920
0
2
0
0
1406
0
2
0
4
2075
0
5
0
5
2877
0
5
0
5
5509
0
5
0
6
6087
…….
0
6
2/6/23
11312904
11312904 1131
4903509
4903513
25488166 25488166 2548
102626931 102672142 10275
0 ... 24526807 24526807 2452
2/7/23
df_long= pd.melt(df, id_vars =['Country/Region'], var_name ='Date',value_name = 'count')
df_long.head()
2
490](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc1683668-6886-4048-8767-4c774e9286cb%2F18e61703-cfab-41bc-961f-76a69c3a6222%2Fisjc0vu_processed.png&w=3840&q=75)
Transcribed Image Text:0
1
2
3
4
Unnamed:
0
0
1
2
3
Country/Region 1/22/20 1/23/20 1/24/20 1/25/20 1/26/20 1/27/20 1/28/20 1/29/20
Australia
China
Italy
US
4 United Kingdom
5 rows x 1123 columns
<
0
548
0
1
0
0
643
0
1
0
0
920
0
2
0
0
1406
0
2
0
4
2075
0
5
0
5
2877
0
5
0
5
5509
0
5
0
6
6087
…….
0
6
2/6/23
11312904
11312904 1131
4903509
4903513
25488166 25488166 2548
102626931 102672142 10275
0 ... 24526807 24526807 2452
2/7/23
df_long= pd.melt(df, id_vars =['Country/Region'], var_name ='Date',value_name = 'count')
df_long.head()
2
490
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