Coding > This program will be a follow-on to the program from last week's individual assignment, Act

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11/1/2020

[Solved] Using matplotlib, you are to create the following 4 graphs. | Course Hero

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a)Line graph import pandas as pd import matplotlib.pyplot as plt df=pd.read_csv("weather_report.csv") plt.plot(df.temperature, df.pressure, "r--") plt.title("Plotting of temperature and pressure v/s date ") plt.xlabel("date") plt.ylabel("Temperature n Pressure") plt.show() 2) Histogram import pandas as pd #import numpy as np import matplotlib.pyplot as plt df=pd.read_csv("weather.csv") plt.hist(df.Precipitation,bins=10) plt.title("Analysis of Precipitation vs days") plt.xlabel("No of days") plt.show() 3.Scatterplot https://www.coursehero.com/tutors-problems/Python-Programming/26857991-This-program-will-be-a-follow-on-to-the-program-from-last-weeks-indiv/?…

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11/1/2020

[Solved] Using matplotlib, you are to create the following 4 graphs. | Course Hero

import pandas as pd import matplotlib.pyplot as plt df=pd.read_excel("weather.xlsx") # to print the data values #print(df) dp=pd.Dataframe(df["Temperature"]) dp1=pd.Dataframe(df["dew_point"]) plt.scatter(dp.average(), dp1.average()) plt.title("Scatterplot") plt.xlabel("Avg Temperature") plt.ylabel("Avg Dew point") plt.show()

4.Bar plot import numpy as np import matplotlib.pyplot as plt df=pd.read_excel("weather.xlsx") N = 12 ind = np.arange(N) width = 0.35 https://www.coursehero.com/tutors-problems/Python-Programming/26857991-This-program-will-be-a-follow-on-to-the-program-from-last-weeks-indiv/?…

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11/1/2020

[Solved] Using matplotlib, you are to create the following 4 graphs. | Course Hero

fig = plt.subplots(figsize =(10, 7)) p1 = plt.bar(ind, df.min["temperature"], width) p2 = plt.bar(ind, df.max["temperature"], width) plt.ylabel('temperature') plt.title('Barplot Monthwise') plt.legend((p1[0], p2[0]), ('min_temp', 'max_temp')) plt.show()

Step-by-step explanation Please find the code attached a)Line graph import pandas as pd import matplotlib.pyplot as plt df=pd.read_csv("weather_report.csv") plt.plot(df.temperature, df.pressure, "r--") plt.title("Plotting of temperature and pressure v/s date ") plt.xlabel("date") plt.ylabel("Temperature n Pressure") https://www.coursehero.com/tutors-problems/Python-Programming/26857991-This-program-will-be-a-follow-on-to-the-program-from-last-weeks-indiv/?…

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11/1/2020

[Solved] Using matplotlib, you are to create the following 4 graphs. | Course Hero

plt.show() 2) Histogram import pandas as pd #import numpy as np import matplotlib.pyplot as plt df=pd.read_csv("weather.csv") plt.hist(df.Precipitation,bins=10) plt.title("Analysis of Precipitation vs days") plt.xlabel("No of days") plt.show() 3.Scatterplot import pandas as pd import matplotlib.pyplot as plt df=pd.read_excel("weather.xlsx") # to print the data values #print(df) dp=pd.Dataframe(df["Temperature"]) dp1=pd.Dataframe(df["dew_point"]) plt.scatter(dp.average(), dp1.average()) plt.title("Scatterplot") https://www.coursehero.com/tutors-problems/Python-Programming/26857991-This-program-will-be-a-follow-on-to-the-program-from-last-weeks-indiv/?…

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11/1/2020

[Solved] Using matplotlib, you are to create the following 4 graphs. | Course Hero

plt.xlabel("Avg Temperature") plt.ylabel("Avg Dew point") plt.show()

4.Bar plot import numpy as np import matplotlib.pyplot as plt df=pd.read_excel("weather.xlsx") N = 12 ind = np.arange(N) width = 0.35 fig = plt.subplots(figsize =(10, 7)) p1 = plt.bar(ind, df.min["temperature"], width) p2 = plt.bar(ind, df.max["temperature"], width) plt.ylabel('temperature') plt.title('Barplot Monthwise') plt.legend((p1[0], p2[0]), ('min_temp', 'max_temp')) plt.show() https://www.coursehero.com/tutors-problems/Python-Programming/26857991-This-program-will-be-a-follow-on-to-the-program-from-last-weeks-indiv/?…

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11/1/2020

[Solved] Using matplotlib, you are to create the following 4 graphs. | Course Hero

https://www.coursehero.com/tutors-problems/Python-Programming/26857991-This-program-will-be-a-follow-on-to-the-program-from-last-weeks-indiv/?…

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