few short codes.

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 f= open("pg37431.txt")

text= f.read()

print(text)

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output:

veatdughjpjujhig

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file=open("pg37431.txt")

text=file.read(5)

print(text)

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 this is how to write a text file.

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file=open("annielog.txt",'w')

file.write("hi there i am animesh\n hope you are doing well /nsmart")

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import matplotlib.pyplot as plt

import seaborn as sns

import numpy as np

temperature=[14.2, 16.4, 11.9, 12.5, 18.9, 22.1, 19.4, 23.1, 25.4, 18.1, 22.6, 17.2]

sales = [215.20, 325.00, 185.20, 330.20, 418.60, 520.25, 412.20, 614.60, 544.80, 421.40, 445.50, 408.10]

plt.scatter(temperature,sales, color="orange")

plt.title("ice temperature versus sales")

plt.xlabel('ice temperature')

plt.ylabel('icecream sales')

plt.show

output....................................

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labels = ['Monica', 'Adrian', 'Jared']

num = [230, 100, 98]

plt.pie(num,labels=labels,autopct='%1.1f%%',colors=['lightblue','yellow','green'])

plt.title("piechart of label", fontdict={'fontsize':31})

plt.show

import seaborn as sns

data = [90, 80, 50, 42, 89, 78, 34, 70, 67, 73, 74, 80, 60, 90, 90]

sns.distplot(data)

plt.title("Data density",fontdict={'fontsize':31})

plt.xlabel("score",fontdict={'fontsize':15})

plt.ylabel("density",fontdict={'fontsize':15})

plt.show()

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counterplot

weight=[85.08,79.25,85.38,82.64,80.51,77.48,79.25,78.75,77.21,73.11,82.03,82.54,74.62,79.82,79.78,77.94,83.43,73.71,80.23,78.27,78.25,80.00,76.21,86.65,78.22,78.51,79.60,83.88,77.68,78.92,79.06,85.30,82.41,79.70,80.16,81.11,79.58,77.42,75.82,74.09,78.31,83.17,75.20,76.14]

sns.kdeplot(list(range(1,45)),weight,kind='kde', cmap="Reds")

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#two plot at same time

fig= plt.figure(figsize=(8,4))

ax1=fig.add_subplot(122)

ax2=fig.add_subplot(121)

labels = ['Adrian', 'Monica', 'Jared']

num = [230, 100, 98]

ax1.pie(num, labels=labels, autopct='%1.1f%%', colors=['lightblue', 'lightgreen', 'yellow'])

ax1.set_title('Pie Chart (Subplot 1)')

#Now, plot the second subplot, which is a bar chart:

# Plot Bar Chart (Subplot 2)

labels = ['Adrian', 'Monica', 'Jared']

num = [230, 100, 98]

plt.bar(labels, num, color=['lightblue', 'lightgreen', 'yellow'])

ax2.set_title('Bar Chart (Subplot 2)')

ax2.set_xlabel('Candidate')

ax2.set_ylabel('Votes')

fig.suptitle('Voting Results', size=14)

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#add new df

df_new=pd.DataFrame({'Quiz1':[np.NaN],'Quiz2':[np.NaN],'Quiz3':np.NaN,'Quiz4':[45]},index=["Adrian"])

#df=pd.concat([df,df_new])

df_new

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#for chancing datatype

df.Quiz4.astype(float)