[3] import pandas as pd df = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/Electrostatic PrecipitationRawData.csv') df.head() Calculated % % % % Air Test Full Total Counts # Date Counts (A) Counts (B) Counts (c) Counts Temperature Relative Humidity (D) [Celsius] [%] Calculated Radon-1 [Bq/L] Calculated Radon-1 2- Sigma Uncert. Radon-2 [Bq/L] [Bq/L] 0.301553 0.000000 Calculated Radon-2 2- Sigma Uncert. [Bq/L] 01/14/21 0 1 637 67.7 0.2 20.3 0.0 25.5 8 2.984775 0.055370 03:00 01/14/21 1 2 877 63.6 0.1 27.9 0.0 26.4 6 3.798011 0.335603 0.000000 0.054474 07:00 01/14/21 2 3 1162 57.6 0.2 36.0 0.1 27.4 5 4.524918 0.363861 0.000000 0.054137 11:00 01/14/21 3 4 1093 46.4 0.6 47.2 0.1 28.0 5 3.424046 0.318231 0.000000 0.054078 15:00 01/14/21 4 5 1299 49.3 0.9 43.4 0.1 28.0 5 4.338577 0.357000 0.043876 0.087794 19:00 [ ] # Convert the 'Full Date' column to a datetime format # Note since the raw data full date is in american convention we need to define the format [ ] # Define a new column called 'Time Since Start [h]' that contains the time difference in hours from test #1 [ ] # Use Standard units -- convert Bq/L to Bq/m^3 # 1 Bq/L is equivalent to 1000 Bq/m³ # Optionally drop the original Bq/L columns if they are no longer needed
[3] import pandas as pd df = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/Electrostatic PrecipitationRawData.csv') df.head() Calculated % % % % Air Test Full Total Counts # Date Counts (A) Counts (B) Counts (c) Counts Temperature Relative Humidity (D) [Celsius] [%] Calculated Radon-1 [Bq/L] Calculated Radon-1 2- Sigma Uncert. Radon-2 [Bq/L] [Bq/L] 0.301553 0.000000 Calculated Radon-2 2- Sigma Uncert. [Bq/L] 01/14/21 0 1 637 67.7 0.2 20.3 0.0 25.5 8 2.984775 0.055370 03:00 01/14/21 1 2 877 63.6 0.1 27.9 0.0 26.4 6 3.798011 0.335603 0.000000 0.054474 07:00 01/14/21 2 3 1162 57.6 0.2 36.0 0.1 27.4 5 4.524918 0.363861 0.000000 0.054137 11:00 01/14/21 3 4 1093 46.4 0.6 47.2 0.1 28.0 5 3.424046 0.318231 0.000000 0.054078 15:00 01/14/21 4 5 1299 49.3 0.9 43.4 0.1 28.0 5 4.338577 0.357000 0.043876 0.087794 19:00 [ ] # Convert the 'Full Date' column to a datetime format # Note since the raw data full date is in american convention we need to define the format [ ] # Define a new column called 'Time Since Start [h]' that contains the time difference in hours from test #1 [ ] # Use Standard units -- convert Bq/L to Bq/m^3 # 1 Bq/L is equivalent to 1000 Bq/m³ # Optionally drop the original Bq/L columns if they are no longer needed
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
I need help doing task two: formatting the full date column to datetime format?
![[3] import pandas as pd
df = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/Electrostatic PrecipitationRawData.csv')
df.head()
Calculated
%
%
%
%
Air
Test
Full Total
Counts
#
Date Counts
(A)
Counts
(B)
Counts
(c)
Counts
Temperature
Relative
Humidity
(D)
[Celsius]
[%]
Calculated
Radon-1
[Bq/L]
Calculated
Radon-1 2-
Sigma Uncert.
Radon-2
[Bq/L]
[Bq/L]
0.301553
0.000000
Calculated
Radon-2 2-
Sigma Uncert.
[Bq/L]
01/14/21
0
1
637
67.7
0.2
20.3
0.0
25.5
8
2.984775
0.055370
03:00
01/14/21
1
2
877
63.6
0.1
27.9
0.0
26.4
6
3.798011
0.335603
0.000000
0.054474
07:00
01/14/21
2
3
1162
57.6
0.2
36.0
0.1
27.4
5
4.524918
0.363861
0.000000
0.054137
11:00
01/14/21
3
4
1093
46.4
0.6
47.2
0.1
28.0
5
3.424046
0.318231
0.000000
0.054078
15:00
01/14/21
4
5
1299
49.3
0.9
43.4
0.1
28.0
5
4.338577
0.357000
0.043876
0.087794
19:00](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F51d09038-f71d-4c57-9d84-7cbd218a7fcf%2Fcfb19ff5-f29a-4606-8158-536fd54a1a1b%2F8s9glmh_processed.png&w=3840&q=75)
Transcribed Image Text:[3] import pandas as pd
df = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/Electrostatic PrecipitationRawData.csv')
df.head()
Calculated
%
%
%
%
Air
Test
Full Total
Counts
#
Date Counts
(A)
Counts
(B)
Counts
(c)
Counts
Temperature
Relative
Humidity
(D)
[Celsius]
[%]
Calculated
Radon-1
[Bq/L]
Calculated
Radon-1 2-
Sigma Uncert.
Radon-2
[Bq/L]
[Bq/L]
0.301553
0.000000
Calculated
Radon-2 2-
Sigma Uncert.
[Bq/L]
01/14/21
0
1
637
67.7
0.2
20.3
0.0
25.5
8
2.984775
0.055370
03:00
01/14/21
1
2
877
63.6
0.1
27.9
0.0
26.4
6
3.798011
0.335603
0.000000
0.054474
07:00
01/14/21
2
3
1162
57.6
0.2
36.0
0.1
27.4
5
4.524918
0.363861
0.000000
0.054137
11:00
01/14/21
3
4
1093
46.4
0.6
47.2
0.1
28.0
5
3.424046
0.318231
0.000000
0.054078
15:00
01/14/21
4
5
1299
49.3
0.9
43.4
0.1
28.0
5
4.338577
0.357000
0.043876
0.087794
19:00
![[ ] # Convert the 'Full Date' column to a datetime format
# Note since the raw data full date is in american convention we need to define the format
[ ] # Define a new column called 'Time Since Start [h]' that contains the time difference in hours from test #1
[ ] # Use Standard units -- convert Bq/L to Bq/m^3
# 1 Bq/L is equivalent to 1000 Bq/m³
# Optionally drop the original Bq/L columns if they are no longer needed](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F51d09038-f71d-4c57-9d84-7cbd218a7fcf%2Fcfb19ff5-f29a-4606-8158-536fd54a1a1b%2Ffyyc3tc_processed.png&w=3840&q=75)
Transcribed Image Text:[ ] # Convert the 'Full Date' column to a datetime format
# Note since the raw data full date is in american convention we need to define the format
[ ] # Define a new column called 'Time Since Start [h]' that contains the time difference in hours from test #1
[ ] # Use Standard units -- convert Bq/L to Bq/m^3
# 1 Bq/L is equivalent to 1000 Bq/m³
# Optionally drop the original Bq/L columns if they are no longer needed
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