#howtoinstallpython
https://youtu.be/zbZbskvSvw4?feature=shared
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
print(data.shape) # Number of rows and columns
print(data.head()) # First few rows
print(data.tail()) # Last few rows
print(data.dtypes)
print(data.describe())
print(data.isnull().sum())
df.info()
df['column1'] =df['column1'].fillna('30')
import seaborn as sns
import matplotlib.pyplot as plt
# Load the Iris dataset
iris = sns.load_dataset("iris")
# Pair plot
sns.pairplot(iris, hue="species")
plt.show()
all_columns = iris.columns
print(all_columns)
null_counts = iris.isnull().sum()
print(null_counts)
plt.bar(df.Sex, df.Age)
df = df.rename(columns={'old_column_name': 'new_column_name'})
print(df)
df.drop('Column2', axis=1, inplace=True)
import os
new_directory = r"C:\Users\Saurabh\Downloads"
os.chdir(new_directory)
import os
current_directory = os.getcwd()
print(current_directory)
df['Survived'].value_counts().plot(kind='bar')
plt.xlabel('Survived')
plt.ylabel('Number of People')
plt.title('Survived Members')
plt.grid(True)
plt.show()
df['Age'].hist()
plt.xlabel('Age')
plt.ylabel('Number of People')
plt.title('Agewise distribution')
plt.show()
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
