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# Importing neccessary libraries | |
import streamlit as st | |
import pandas as pd | |
import plotly.express as px | |
st.title("Covid-19 EDA and Visualization") | |
st.markdown(''' | |
A Web App to visualize and analyze the Covid-19 data from India | |
* **Libraries Used:** Streamlit, Pandas, Plotly |
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import fileinput | |
with fileinput.input(files=('first.txt', 'second.txt','third.txt')) as f: | |
for line in f: | |
print(line) | |
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with open("first.txt") as file_1, open("second.txt") as file_2, open("third.txt") as file_3: | |
f1 = file_1.read() | |
f2 = file_2.read() | |
f3 = file_3.read() | |
for lines in f1, f2, f3: | |
print(lines) | |
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# A Simple Calculator | |
# Taking Input from User | |
print("Enter the 1st value: ") | |
user_input1 = input() | |
print("Enter the 2nd value: ") | |
user_input2 = input() | |
print("Enter the operator: '+', '-', '*', '/', '**', '//', '%', 'percentage': ") | |
user_input3 = input() |
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# Importing numpy as np | |
import numpy as np | |
# Creating 2D array with random integers | |
input_arr = np.random.randint(16, size=(4, 4)) | |
print("INPUT ARRAY: \n", input_arr) | |
# Printing the indices of the max element along the axis 0 | |
print("\nIndices of MAX ELEMENT", np.argmax(input_arr, axis=0)) |
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# Importing tensorflow as tf | |
import tensorflow as tf | |
# Tensor to work on | |
inp_tensor = tf.constant([3, 1, 5, 10, 45, 21]) | |
# Applying argmax | |
out = tf.argmax(inp_tensor) | |
# Printing the index of the highest value |
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# Importing tensorflow as tf | |
import tensorflow as tf | |
# Tensor to work on | |
inp_tensor = tf.constant([[7, 13, 9, 10, 13.5, 21], [9, 2, 8, 14, 45, 21], [92, 3, 14, 92.1, 19, 8]]) | |
# Printing the indices of the highest values along axis 0 | |
print(f"INDEX of highest value: {tf.argmax(inp_tensor, 0)}") | |
print("Tensor:", tf.argmax(inp_tensor, 0), "\n") |
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# Importing numpy as np | |
import numpy as np | |
# Creating a 2D array of shape 3, 6 | |
arr = np.arange(18).reshape(3, 6) | |
# Printing out an input array | |
print("INPUT ARRAY: \n", arr) | |
# Applying argmax to the input array |
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# Importing Numpy | |
import numpy as np | |
# Working with 1D array | |
inp_arr = np.array([5, 2, 9, 4, 2]) | |
# Applying argmax() function | |
max_elem_index = np.argmax(inp_arr) | |
# Printing index |
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# Importing Numpy | |
import numpy as np | |
# Creating 2D array | |
arr = np.random.randint(16, size=(4, 4)) | |
# Array preview | |
print("INPUT ARRAY: \n", arr) | |
# Applying argmax() |
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