PythonProjects/LearningLibraries at main · shrishti2410/PythonProjects · GitHub

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import numpy as np
import pandas as pd
dict1={"name":['harry','rohan','sam'],
       "marks":[40,49,45],
        "city":['mumbai','delhi','pune']
}
df=pd.DataFrame(dict1)

#Prints the dataset
# print(df)

#Prints the first 2 values of dataset
# print(df.head(2))

#Prints the last 2 values of dataset
# print(df.tail(2))

#Prints the statistical data of the dataset
# print(df.describe())

#Converts the dataset to a csv file
# df.to_csv('students.csv', index=False)

#Reads a csv file
shrishti=pd.read_csv('Shrishti.csv - Sheet1.csv')

#Print a csv
# print(shrishti)

#Print a particular column of a csv
# print(shrishti['CG'])

#Change a particular value in csv
# shrishti['CG'][0]=5

#Changing the index
# shrishti.index=['first','second','third']

# print(shrishti)

#Series
# ser=pd.Series(np.random.rand(10))
# print(ser)

#Dataframe
newdf=pd.DataFrame(np.random.rand(30,5), index=np.arange(30))
# print(newdf)

#Convert to numpy array
# print(newdf.to_numpy())

#Transforms the dataframe, rows to column n column to rows
# print(newdf.T)

#Sorts in decending order of index values
#axis=0-row
#axis=1-column
# print(newdf.sort_index(axis=0, ascending=False))

#Creates a view of newdf, the changes in newdf2 will be applied to newdf also
# newdf2=newdf

#Creates a copy of newdf, the changes in newdf2 will not be applied to newdf
# newdf2=newdf.copy()